Diss/01_tex/mybib_Lukas.bib

% This file was created with Citavi 5.7.0.0

@proceedings{248,
 title = {{19th International Conference on Pattern Recognition}}
}


@proceedings{249,
 title = {{19th International Conference on Pattern Regcognition}}
}


@book{309,
 title = {{Modular Machine Tool {\&} Automatic Manufacturing Technique}}
}


@book{157,
 title = {{MongoDB Applied Design Patterns}}
}


@booklet{358,
 title = {{Parallel Computing Toolbox R2015b Users Guide}}
}


@book{344,
 title = {{Proc. ASCI 2002}}
}


@proceedings{903,
 title = {{Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)}}
}


@proceedings{1991,
 year = {1991},
 title = {{Proceedings of IFAC/IAMCS symposium on safe process}}
}


@proceedings{1993,
 year = {1993},
 title = {{World Congress on Neural Networks}}
}


@book{1995,
 year = {1995},
 title = {{Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence}}
}


@proceedings{1995b,
 year = {1995},
 title = {{14th International Joint Conference on Artificial Intelligence}}
}


@proceedings{1995c,
 year = {1995},
 title = {{Proceedings Fourth IEE International Conference on Artificial Neural Networks}},
 edition = {4}
}


@proceedings{1995d,
 year = {1995},
 title = {{Proceedings of the 1995 American Control Conference}}
}


@book{1996,
 year = {1996},
 title = {{Proc. of the 13th Int. Conf. on Machine Learning}}
}


@proceedings{1997,
 year = {1997},
 title = {{Proc. 14th International Conference on Machine Learning}}
}


@book{1999,
 year = {1999},
 title = {{Proc. 5th Annual Conference of the Advanced School for Computing and Imaging}}
}


@book{1999b,
 year = {1999},
 title = {{Proceedings of the 1999 IEEE Signal Processing Society Workshop}}
}


@book{1999c,
 year = {1999},
 title = {{ESANN'1999 proceedings - European Symposium on Artificial Neural Networks}}
}


@proceedings{1999d,
 year = {1999},
 title = {{Proceedings of the 25th VLDB Conference}}
}


@book{2000,
 year = {2000},
 title = {{Proceedings of the 15th International Conference on Pattern Recognition}}
}


@book{2000b,
 year = {2000},
 title = {{Proc. Neural Information Processing Systems}}
}


@proceedings{2000c,
 year = {2000},
 title = {{Proceedings of the Advances in Neural Information Processing Systems}}
}


@proceedings{2000d,
 year = {2000},
 title = {{Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining}}
}


@book{2000e,
 year = {2000},
 title = {{Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence}}
}


@proceedings{2001,
 year = {2000},
 title = {{Advances in Neural Information Processing Systems 13}}
}


@proceedings{2001b,
 year = {2001},
 title = {{7th Annual Conference of the Advanced School for Computing and Imaging}}
}


@book{2001c,
 year = {2001},
 title = {{Proceedings of the Seventeenth International Joint Confer}}
}


@proceedings{2001d,
 year = {2001},
 title = {{Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence}},
 publisher = {{Morgan Kaufmann Publishers Inc.}}
}


@proceedings{2001e,
 year = {2001},
 title = {{Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence}},
 publisher = {{Morgan Kaufmann Publishers Inc.}}
}


@proceedings{2001f,
 year = {2001},
 title = {{SAE 2001 World Congress}}
}


@proceedings{2002,
 year = {2002},
 title = {{Advances in Neural Information Processsing Systems 15}}
}


@proceedings{2002b,
 year = {2002},
 title = {{Preprints of reglerm{\"o}te 2002}}
}


@book{2003,
 year = {2003},
 title = {{2003 IEEE XIII Workshop on Neural Networks for Signal Processing--NNSP'03}}
}


@book{2003b,
 year = {2003},
 title = {{Proceedings of the Third IEEE International Conference on Data Mining}}
}


@book{2003c,
 year = {2003},
 title = {{Proceedings of the ICANN/ICONIP 2003}}
}


@proceedings{2003d,
 year = {2003},
 title = {{Systems, Man and Cybernetics, 2003. IEEE International Conference on}}
}


@proceedings{2003e,
 year = {2003},
 title = {{Proceedings of the International Joint Conference on Neural Networks}}
}


@proceedings{2004,
 year = {2004},
 title = {{Proceedings of the 17th International Conference on Pattern Recognition}}
}


@proceedings{2005,
 year = {2005},
 title = {{Proceedings of the International Conference on Communications in Computing}}
}


@book{2005b,
 year = {2005},
 title = {{Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining}}
}


@proceedings{2005c,
 year = {2005},
 title = {{Proceedings International Joint Conference on Neural Networks}}
}


@proceedings{2005d,
 year = {2005},
 title = {{Proceedings of International Joint Conference on Neural Networks}}
}


@proceedings{2005e,
 year = {2005},
 title = {{Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on}}
}


@proceedings{2005f,
 year = {2005},
 title = {{Proceedings of the 22nd International Conference on Machine Learning}}
}


@book{2006,
 year = {2006},
 title = {{18th International Conference on Pattern Recognition 2006}}
}


@proceedings{2006b,
 year = {2006},
 title = {{Proceedings of the 23rd international conference on Machine learning}}
}


@proceedings{2006c,
 year = {2006},
 title = {{3rd International Symposium on Neural Networks}}
}


@book{2006d,
 year = {2006},
 title = {{Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW'06)}}
}


@proceedings{2007,
 year = {2007},
 title = {{Proceedings of the 2007 IEEE Symposium on Computational~Intelligence and Datamining (CIDM~2007)}}
}


@proceedings{2007b,
 year = {2007},
 title = {{Proceedings of the 20th International Congress {\&} Exhibition on Condition Monitoring and Diagnostic Engineering Management}}
}


@book{2007c,
 year = {2007},
 title = {{AIAA Modeling and Simulation Technologies Conference and Exhibit 2007}}
}


@book{2007d,
 year = {2007},
 title = {{Networking, Sensing and Control, 2007 IEEE International Conference on}}
}


@proceedings{2007e,
 year = {2007},
 title = {{2007 2nd IEEE Conference on Industrial Electronics and Applications}}
}


@proceedings{2007f,
 year = {2007},
 title = {{Advances in Neural Information Processing Systems}}
}


@proceedings{2008,
 year = {2008},
 title = {{Neural Networks}}
}


@proceedings{2008b,
 year = {2008},
 title = {{2008 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)}}
}


@proceedings{2008c,
 year = {2008},
 title = {{Proceedings of the VLDB Endowment}}
}


@book{2008d,
 year = {2008},
 title = {{Second International Symposium on Intelligent Information Technology Application}}
}


@book{2008e,
 year = {2008},
 title = {{Third International Conference on Digital Information Management}}
}


@book{2008f,
 year = {2008},
 title = {{Aerospace Conference, 2008 IEEE}}
}


@book{2008g,
 year = {2008},
 title = {{Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining}}
}


@proceedings{2008h,
 year = {2008},
 title = {{Eighth IEEE~International Conference on Data Mining}}
}


@proceedings{2008i,
 year = {2008},
 title = {{2008 Eigth IEEE International Conference on Data Mining}}
}


@book{2009,
 year = {2009},
 title = {{2009 SIAM International Conference on Data Mining}}
}


@book{2009b,
 year = {2009},
 title = {{IEEE/SP 15th Workshop on Statistical Signal Processing}}
}


@proceedings{2009c,
 year = {2009},
 title = {{3rd International Symposium on Advances in Intelligent Data Analysis}}
}


@proceedings{2009d,
 year = {2009},
 title = {{Advances in Neural Information Processing Systems 22 (NIPS~2009)}}
}


@proceedings{2009e,
 year = {2009},
 title = {{Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes}}
}


@book{2010,
 year = {2010},
 title = {{Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on}}
}


@book{2010b,
 year = {2010},
 title = {{Advances in Neural Information Processing Systems 23}}
}


@proceedings{2011,
 year = {2011},
 title = {{International Conference on Artificial Intelligence and Statistics}}
}


@book{2011b,
 year = {2011},
 title = {{Proceedings of the 2011 International Conference on Machine Learning and Cybernetics}}
}


@book{2011c,
 year = {2011},
 title = {{ICDM Conference 2011}}
}


@book{2011d,
 year = {2011},
 title = {{Advances in Data Mining. Applications and Theoretical Aspects}},
 address = {Berlin},
 publisher = {Springer}
}


@proceedings{2011e,
 year = {2011},
 title = {{MVA2011 IAPR~Conference on Machine Vision Applications}}
}


@book{2011f,
 year = {2011},
 title = {{roceedings of the EARSeL 7th SIG-Imaging Spectroscopy Workshop}}
}


@proceedings{2011g,
 year = {2011},
 title = {{2011 IEEE International Conference on Robotics and Automation}}
}


@book{2012,
 year = {2012},
 title = {{2012 IEEE 12th International Conference on Data Mining}}
}


@book{2012b,
 year = {2012},
 title = {{2012 IEEE 28th International Conference on Data Engineering (ICDE)}}
}


@book{2012c,
 year = {2012},
 title = {{IEEE 12th International Conference on Data Mining (ICDM)}}
}


@book{2012d,
 year = {2012},
 title = {{Proceedings of the IADIS International Conference Intelligent Systems and Agents 2012 and European Conference Data Mining}}
}


@book{2012e,
 year = {2012},
 title = {{IEEE 12th International Conference on Data Mining (ICDM)}}
}


@book{2012f,
 year = {2012},
 title = {{Proceedings of the 7th Vienna International Conference on Mathematical Modelling (MATHMOD 2012)}}
}


@book{2012g,
 year = {2012},
 title = {{Asian Conference on Machine Learning 2012}}
}


@proceedings{2012h,
 year = {2012},
 title = {{2012 IEEE~International Workshop on Machine Learning for Signal Processing}}
}


@proceedings{2012i,
 year = {2012},
 title = {{International Conference on Measurement, Information and Control (MIC)}}
}


@proceedings{2013,
 year = {2013},
 title = {{AUTOTESTCON, 2013 IEEE}},
 isbn = {978-1-4673-5681-7}
}


@book{2013b,
 year = {2013},
 title = {{Proceedings of the WASET International Conference on Machine Intelligence}}
}


@book{2013c,
 year = {2013},
 title = {{Proceedings of the WASET International Conference on Vehicular Electronics and Safety 2013}}
}


@proceedings{2013d,
 year = {2013},
 title = {{Proc. 15th WASET Int. Conf. Machine Intelligence}}
}


@proceedings{2013e,
 year = {2013},
 title = {{Proceedings of the 30th international conference on machine learning (ICML-13)}}
}


@proceedings{2013f,
 year = {2013},
 title = {{2013 IEEE International Conference on Acoustics, Speech and Signal Processing}}
}


@book{2013g,
 year = {2013},
 title = {{2013 IEEE~International Workshop on Machine Learning for Signal Processing}},
 publisher = {IEEE}
}


@proceedings{2013h,
 year = {2013},
 title = {{2013 IEEE Intelligent Vehicles Symposium (IV)}}
}


@proceedings{2013i,
 year = {2013},
 title = {{IEEE/RSJ~International Conference on Intelligent Robots and Systems (IROS)}}
}


@book{2014,
 year = {2014},
 title = {{30th International Conference on Data Engineering}}
}


@book{2014b,
 year = {2014},
 title = {{Proceedings of the 14th SIAM International Conference on Data Mining}}
}


@book{2014c,
 year = {2014},
 title = {{Proceedings of Big Data Applications and Principles First International Workshop}}
}


@proceedings{2014d,
 year = {2014},
 title = {{Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS)}}
}


@inproceedings{2014e,
 title = {{Student-t Processes as Alternatives to Gaussian Processes}},
 booktitle = {{Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS)}},
 year = {2014}
}


@book{2014f,
 year = {2014},
 title = {{Economic Analysis of the Digital Economy}},
 publisher = {{University of Chicago Press}}
}


@book{2014g,
 year = {2014},
 title = {{Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS)}}
}


@proceedings{2014h,
 year = {2014},
 title = {{Advances in Neural Information Processing Systems 2014}}
}


@book{2014i,
 year = {2014},
 title = {{Integrated Communications, Navigation and Surveillance Conference (ICNS)}}
}


@book{2015,
 year = {2015},
 title = {{Proceedings of the 32nd International Conference on Machine Learning}}
}


@proceedings{2015b,
 year = {2015},
 title = {{2015 IEEE International Conference on Robotics and Automation (ICRA)}}
}


@book{2016,
 year = {2016},
 title = {{SAE 2016 World Congress}}
}


@proceedings{2016b,
 year = {2016},
 title = {{2016 IEEE Intelligent Vehicles Symposium}}
}


@book{2016c,
 year = {2016},
 title = {{IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016}}
}


@proceedings{2016d,
 year = {2016},
 title = {{2016 American Control Conference (ACC)}}
}


@proceedings{2016e,
 year = {2016},
 title = {{2016 IEEE Intelligent Vehicles Symposium (IV)}}
}


@proceedings{2016f,
 year = {2016},
 title = {{Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)}}
}


@proceedings{2016g,
 year = {2016},
 title = {{Proceedings of the 33rd International Conference on Machine Learning}},
 address = {New York}
}


@proceedings{2016h,
 year = {2016},
 title = {{19th International Conference on Information Fusion}}
}


@proceedings{2016i,
 year = {2016},
 title = {{14th IEEE~International Conference on Industrial Informatics (INDIN)}}
}


@proceedings{2016j,
 year = {2016},
 title = {{6th IEEE International Electric Drives Production Conference}}
}


@proceedings{2016k,
 year = {2016},
 title = {{Proceedings of the 1st International Workshop on Science, Application and Methods in Industry 4.0}}
}


@proceedings{2018,
 year = {2018},
 title = {{IEEE~International Conference on Industrial Technology}}
}


@proceedings{2018b,
 year = {2018},
 title = {{Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT), to be published}}
}


@inproceedings{Abele2016,
 author = {Abele, Sebastian and Weyrich, Michael},
 title = {{A combined fault diagnosis and test case selection assistant for automotive end-of-line test systems}},
 pages = {1072--1077},
 booktitle = {{14th IEEE~International Conference on Industrial Informatics (INDIN)}},
 year = {2016}
}


@inproceedings{Abersfelder2016,
 author = {Abersfelder, Sandra and Meyer, Alexander and Heyder, Andreas and Thanner, Marius and Franke, J{\"o}rg},
 title = {{Prediction of electric motor performance by in-line testing of permanent excited rotors}},
 pages = {80--85},
 booktitle = {{6th IEEE International Electric Drives Production Conference}},
 year = {2016}
}


@article{Acharyya2007,
 author = {{Ranjan Acharyya, Fredric M. Ham}},
 year = {2007},
 title = {{A New Approach for Blind Separation of Convolutive Mixtures}}
}


@proceedings{ACM2000,
 year = {2000},
 title = {{Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining}},
 editor = {ACM}
}


@proceedings{ACM2001,
 year = {2001},
 title = {{SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data}},
 institution = {ACM}
}


@proceedings{ACM2003,
 year = {2003},
 title = {{Proceedings of the 8th ACM~SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery}},
 institution = {ACM}
}


@article{Adams1999,
 author = {Adams, Niall M. and Hand, David J.},
 year = {1999},
 title = {{Comparing classifiers when the misallocation costs are uncertain}},
 pages = {1139--1147},
 volume = {32},
 number = {7},
 journal = {{Pattern Recognition}}
}


@article{Adams2000,
 author = {Adams, Niall M. and Hand, David J.},
 year = {2000},
 title = {{Improving the practice of classifier performance assessment}},
 pages = {305--311},
 volume = {12},
 number = {2},
 journal = {{Neural Computation}}
}


@article{Adams2000b,
 author = {Adams, Niall M. and Hand, David J.},
 year = {2000},
 title = {{An improved method for comparing diagnostic tests}},
 pages = {89--96},
 volume = {30},
 number = {2},
 journal = {{Computers in Biology and Medicine}}
}


@inproceedings{Agamennoni2011,
 author = {Agamennoni, Gabriel and Nieto, Juan I. and Nebot, Eduardo M.},
 title = {{An Outlier-Robust Kalman Filter}},
 pages = {1551--1558},
 booktitle = {{2011 IEEE International Conference on Robotics and Automation}},
 year = {2011}
}


@article{Agamennoni2012,
 author = {Agamennoni, Gabriel and Nieto, Juan I. and Nebot, Eduardo M.},
 year = {2012},
 title = {{Approximate inference in statespace models with heavy-tailed noise}},
 pages = {5024--5037},
 volume = {60},
 number = {10},
 journal = {{IEEE Transactions on Signal Processing}}
}


@inproceedings{Agamennoni2013,
 author = {Agamennoni, Gabriel and Worrall, Stewart and Ward, James and Nebot, Eduardo},
 title = {{Robust Non-linear Smoothing for Vehicle State Estimation}},
 booktitle = {{2013 IEEE Intelligent Vehicles Symposium (IV)}},
 year = {2013}
}


@inproceedings{Agamennoni2015,
 author = {Agamennoni, Gabriel and Furgale, Paul and Siegwart, Roland},
 title = {{Self-tuning M-estimators}},
 pages = {4628--4635},
 booktitle = {{2015 IEEE International Conference on Robotics and Automation (ICRA)}},
 year = {2015}
}


@inproceedings{Aggarwal2001,
 author = {Aggarwal, Charu C. and Yu, Philip S.},
 title = {{Outlier Detection for High Dimensional Data}},
 pages = {37--46},
 booktitle = {{SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data}},
 year = {2001}
}


@book{Aggarwal2013,
 author = {Aggarwal, Charu C.},
 year = {2013},
 title = {{Outlier Analysis}},
 address = {New York},
 edition = {1},
 publisher = {Springer}
}


@article{Aggarwal2013b,
 author = {Aggarwal, Charu C.},
 year = {2013},
 title = {{Outlier Ensembles: Position Paper}},
 pages = {49--58},
 volume = {14},
 number = {2},
 journal = {{ACM~SIGKDD Explorations Newsletter}}
}


@article{Ahmed2015,
 author = {Ahmed, Ryan and {El Sayed}, Mohammed and Gadsden, S. Andrew and Tjong, Jimi and Habibi, Saeid},
 year = {2015},
 title = {{Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques}},
 pages = {21--33},
 volume = {64},
 number = {1},
 journal = {{IEEE Transactions on Vehicular Technology}}
}


@article{Alfes2017,
 author = {Alfes, Sebastian and Isermann, Rolf},
 year = {2017},
 title = {{Modell- und signalbasierte Fehlerdiagnose eines automatisierten Nutzfahrzeuggetriebes}},
 pages = {64--69},
 volume = {12},
 number = {3},
 journal = {{ATZelektronik}}
}


@electronic{Allen2014,
 author = {Allen, David},
 year = {2014},
 title = {{Some Matrix Derivatives}},
 url = {http://blog.as.uky.edu/sta707/wp-content/uploads/2014/01/matrix-derivatives.pdf}
}


@article{Alspach1972,
 author = {Alspach, Daniel L. and Sorenson, Harold W.},
 year = {1972},
 title = {{Nonlinear Bayesian estimation using Gaussian sum approximations}},
 pages = {439--448},
 volume = {17},
 number = {4},
 journal = {{IEEE Transactions on Automatic Control}}
}


@book{Altman2015,
 author = {Altman, Yair},
 year = {2015},
 title = {{Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs}},
 address = {Boca Raton},
 publisher = {{CRC Press}}
}


@booklet{Altmannshofer2010,
 author = {Altmannshofer, Simon},
 year = {2010},
 title = {{Support Vector Machines f{\"u}r die modellbasierte Optimierung von Verbrennungsmotoren: Semesterarbeit}}
}


@inproceedings{Altmannshofer2016,
 author = {Altmannshofer, Simon and Endisch, Christian},
 title = {{Robust Vehicle Mass and Driving Resistance Estimation}},
 pages = {6869--6874},
 booktitle = {{2016 American Control Conference (ACC)}},
 year = {2016}
}


@inproceedings{Altmannshofer2016b,
 author = {Altmannshofer, Simon and Endisch, Christian and Martin, Jan and Gerngro{\ss}, Martin and Limbacher, Reimund},
 title = {{Robust Estimation of Vehicle Longitudinal Dynamics Parameters}},
 pages = {566--571},
 booktitle = {{2016 IEEE Intelligent Vehicles Symposium (IV)}},
 year = {2016}
}


@book{Anderson1979,
 author = {Anderson, Brian D. O. and Moore, John B.},
 year = {1979},
 title = {{Optimal Filtering}},
 address = {Mineola, New York},
 publisher = {{Dover Publications, Inc.}}
}


@book{Anderson2003,
 author = {Anderson, Theodore W.},
 year = {2003},
 title = {{An Introduction to Multivariate Statistical Analysis}},
 address = {Hoboken, N.J},
 edition = {3},
 publisher = {Wiley-Interscience}
}


@article{Anderson2010,
 author = {Anderson, Erik W. and Preston, Gilbert A. and Silva, Claudio T.},
 year = {2010},
 title = {{Using Python for Signal Processing and Visualization}},
 pages = {90--95},
 volume = {12},
 number = {4},
 journal = {{Computing in Science {\&} Engineering}}
}


@article{Ando1965,
 author = {Ando, Albert and Kaufman, Gordon M.},
 year = {1965},
 title = {{Bayesian analysis of the independent multinormal process --- neither mean nor precision known}},
 pages = {347--358},
 volume = {60},
 number = {309},
 journal = {{Journal of the American Statistical Association}}
}


@article{Andre2013,
 author = {Andre, Amaury B. and Beltrame, Eduardo and Wainer, Jacques},
 year = {2013},
 title = {{A combination of support vector machines and k-nearest neighbors for machine fault detection}},
 pages = {36--49},
 volume = {27},
 number = {1},
 journal = {{Applied Artificial Intelligence}}
}


@article{Andrieu2003,
 author = {Andrieu, Christophe and de Freitas, Nando and Doucet, Arnaud and Jordan, Michael I.},
 year = {2003},
 title = {{An Introduction to MCMC for Machine Learning}},
 urldate = {pdf},
 pages = {5--43},
 volume = {50},
 number = {1},
 journal = {{Machine Learning}}
}


@article{Andrieu2010,
 author = {Andrieu, Christophe and Doucet, Arnaud and Holenstein, Roman},
 year = {2010},
 title = {{Particle Markov Chain Monte Carlo Methods}},
 pages = {269--342},
 volume = {72},
 number = {3},
 journal = {{Journal of the Royal Statistical Society: Series B (Statistical Methodology)}}
}


@article{Angelov2006,
 author = {Angelov, P. and Giglio, V. and Guardiola, C. and Lughofer, E. and Luj{\'a}n, J. M.},
 year = {2006},
 title = {{An approach to model-based fault detection in industrial measurement systems with application to engine test benches}},
 pages = {1809--1818},
 volume = {17},
 number = {7},
 journal = {{Measurement Science and Technology}}
}


@book{Angermann2014,
 year = {2014},
 title = {{Matlab, Simulink, Stateflow: Grundlagen, Toolboxen, Beispiele}},
 address = {M{\"u}nchen},
 edition = {8},
 publisher = {Oldenbourg},
 isbn = {978-3-486-77845-8},
 editor = {Angermann, Anne}
}


@booklet{Aravkin2016,
 author = {Aravkin, Aleksandr and Burke, James V. and Ljung, Lennart and Lozano, Aurelie and Pillonetto, Gianluigi},
 year = {2016},
 title = {{Generalized Kalman Smoothing:~Modeling and Algorithms}}
}


@article{Ardeshiri2015,
 author = {Ardeshiri, Tohid and {\"O}zkan, Emre and Orguner, Umut and Gustafsson, Fredrik},
 year = {2015},
 title = {{Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances}},
 pages = {2450--2454},
 volume = {22},
 number = {12},
 journal = {{IEEE~Signal Processing Letters}}
}


@booklet{Ardeshiri2015b,
 author = {Ardeshiri, Tohid and {\"O}zkan, Emre and Orguner, Umut and Gustafsson, Fredrik},
 year = {2015},
 title = {{Variational Iterations for Smoothing with Unknown Process and Measurement Noise Covariances}},
 address = {Link{\"o}ping, Sweden}
}


@phdthesis{Ardeshiri2015c,
 author = {Ardeshiri, Tohid},
 year = {2015},
 title = {{Analytical Approximations for Bayesian Inference}},
 address = {Link{\"o}ping, Sweden},
 publisher = {Division of Automatic Control, Department of Electrical Engineering},
 school = {{Link{\"o}ping University}}
}


@booklet{Ardeshiri2015d,
 author = {Ardeshiri, Tohid and Nurminen, Henri and Pich{\'e}, Robert and Gustafsson, Fredrik},
 year = {2015},
 title = {{Variational Iterations for Filtering and Smoothing with skew-t measurement noise}},
 address = {Link{\"o}ping, Sweden}
}


@article{Arlot2010,
 author = {Arlot, Sylvain and Celisse, Alain},
 year = {2010},
 title = {{A survey of cross-validation procedures for model selection}},
 pages = {40--79},
 volume = {4},
 journal = {{Statistics Surveys}}
}


@booklet{ASAM2014,
 author = {ASAM},
 year = {2014},
 title = {{MDF 4.1.1 Release Presentation}}
}


@booklet{Ashby2005,
 author = {Ashby, Mike},
 year = {2005},
 title = {{How to Write a Paper}}
}


@article{Astorino2016,
 author = {Astorino, Annabella and Fuduli, Antonio},
 year = {2016},
 title = {{The proximal trajectory algorithm in SVM cross validation}},
 pages = {966--977},
 volume = {27},
 number = {5},
 journal = {{IEEE Transactions on Neural Networks and Learning Systems}}
}


@book{Astrom1995,
 author = {Astr{\"o}m, Karl J. and Wittenmark, Bj{\"o}rn},
 year = {1995},
 title = {{Adaptive Control}},
 address = {Reading, Massachusetts},
 edition = {2},
 publisher = {Addison-Wesley}
}


@book{Astrom1997,
 author = {Astr{\"o}m, Karl J. and Wittenmark, Bj{\"o}rn},
 year = {1997},
 title = {{Computer Controlled Systems: Theory and Design}},
 edition = {3},
 publisher = {{Prentice Hall}}
}


@electronic{Atlassian,
 author = {Atlassian},
 title = {{Git Cheat Sheet}}
}


@article{Azzalini1985,
 author = {Azzalini, Adelchi},
 year = {1985},
 title = {{A Class of distributions which includes the normal ones}},
 pages = {171--178},
 volume = {12},
 number = {2},
 journal = {{Scandinavian Journal of Statistics}}
}


@article{Azzalini2005,
 author = {Azzalini, Adelchi},
 year = {2005},
 title = {{The skew-normal distribution and related multivariate families}},
 pages = {159--188},
 volume = {32},
 number = {2},
 journal = {{Scandinavian Journal of Statistics}}
}


@electronic{Baath2015,
 author = {B{\aa}{\aa}th, Rasmus},
 year = {2015},
 title = {{Probable Points and Credible Intervals, Part 2: Decision Theory}}
}


@article{Bachoc2013,
 author = {Bachoc, Fran{\c{c}}ois},
 year = {2013},
 title = {{Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification}},
 number = {66},
 journal = {{Computational Statistics and Data Analysis}}
}


@article{Bahman1996,
 author = {Samimy, Bahman and Rizzoni, Giorgio},
 year = {1996},
 title = {{Mechanical Signature Analysis Using Time-Frequency Signal Processing: Application to Internal Combustion Engine Knock Detection}},
 pages = {1330--1343},
 volume = {84},
 number = {9},
 journal = {{Proceedings of the IEEE}}
}


@book{Baillieul2015,
 year = {2015},
 title = {{Encyclopedia of Systems and Control}},
 address = {London},
 publisher = {Springer-Verlag},
 editor = {Baillieul, J. and Samad, T.}
}


@book{Baleanu2012,
 year = {2012},
 title = {{Advances in wavelet theory and their applications in engineering, physics and technology}},
 address = {Rijeka},
 publisher = {InTech},
 isbn = {978-953-51-0494-0},
 editor = {Baleanu, Dumitru and Aydin, Handan}
}


@book{Bamberg2012,
 author = {Bamberg, G{\"u}nter and Baur, Franz and Krapp, Michael},
 year = {2012},
 title = {{Statistik}},
 address = {M{\"u}nchen},
 edition = {17},
 publisher = {Oldenbourg}
}


@article{Banerjee2006,
 author = {Banerjee, A. and Burlina, P. and Diehl, C.},
 year = {2006},
 title = {{A support vector method for anomaly detection in hyperspectral imagery}},
 pages = {2282--2291},
 volume = {44},
 number = {8},
 journal = {{IEEE Transactions on Geoscience and Remote Sensing}}
}


@inproceedings{Bansal2013,
 author = {Bansal, Abhijit and Muli, Mahendra and Patil, Kunal},
 abstract = {The current product development environment for mechatronic systems is characterized by tight budgets, reduced development times and immense complexity across the industries - aerospace, automotive, commercial vehicles, etc. A huge emphasis is being given to increase the efficiency in product testing and to make the process more productive in increasing quality, while being cost effective. Companies are seeking software testing tools that offer a comprehensive solution that helps in achieving this goal. Automated software testing for both hardware and the software components is one of the ways the industries are trying to gain efficiency in testing. Given the fact that current mechatronic systems are quite complex, have large numbers and types of IO channels, and are implementing distributed real-time control with multiple communication protocols, a test automation tool that incorporates and tests all of the system functionality is highly desirable. In particular, due to the focus on software quality, as more and more functions are added to the network of Electronic Control Units (ECU), a greater emphasis is laid on the requirements for a comprehensive automated testing tool. The efficiency in development and planned increase in reuse of test assets is an important consideration for efficiency gain. Bringing clarity to the test description would improve readability and maintainability of these test assets. This paper shows the lessons learned from a similar evolution in Model-Based Design, moving from handwritten code to model-based graphical executable representation, can be applied to the testing arena to develop better and more efficient tests. To make the testing process efficient, the test tool should be able to not just execute tests, but organize the test results and present them in a manner easily understood by the end user. The user should be easily able to select tests to be executed and visualize execution results of those tests without need of external - ata analysis and reporting tools. A user should also be able to gather data related to test execution for reporting on overall software quality metrics. In the case of real-time embedded systems, the traditional approach for software testing of test execution, data capture, analysis and reporting creates a lot of inefficiency and repeated testing. A new approach to run test evaluation in parallel to test execution, using the so-called real-time testing solution, eliminates these inefficiencies and results in significant gains in testing time and improving utilization of the test infrastructure. Globalized, distributed development environments may lead to organizations adopting a variety of tool chains and test platforms. Therefore, to gain efficiency, it is desired that the test automation solution should offer easy integration with other third-party test platforms and be independent of the hardware to protect the investment in the long run. Basing such integration interface on established standards gives the user freedom to make choices. Some standards, such as HIL API from ASAM, are being proposed for test systems in the automotive industry. The paper reviews applicability and benefits of such standards. Various industry standards, such as automotive functional safety standard ISO 26262, IEC 61508, IEC 62304 and DO-178C, have addressed requirements for software testing and test tools. It is therefore critical that the selected test automation tool provide support for the prescribed methods and support the standard compliant development process. Tool qualification is a critical topic addressed by these standards and is discussed in this paper. Further, increasingly important requirements such as integration with the overall software development process, management of tests and test data, test reusability, hardware platform independence, test development and execution efficiency, etc. are discussed.},
 title = {{Taming Complexity While Gaining Efficiency: Requirements for the Next Generation of Test Automation Tools}},
 url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6645055},
 pages = {1--6},
 isbn = {978-1-4673-5681-7},
 booktitle = {{AUTOTESTCON, 2013 IEEE}},
 year = {2013}
}


@inproceedings{Barber2007,
 author = {Barber, David and Chiappa, Silvia},
 title = {{Unified inference for variational Bayesian linear Gaussian state-space models}},
 pages = {81--88},
 booktitle = {{Advances in Neural Information Processing Systems}},
 year = {2007}
}


@article{Barber2010,
 author = {Barber, David and Cemgil, A. Taylan},
 year = {2010},
 title = {{Graphical Models for Time Series}},
 pages = {18--28},
 volume = {27},
 number = {6},
 journal = {{IEEE Signal Processing Magazine}}
}


@book{Barber2011,
 year = {2011},
 title = {{Bayesian Time Series Models}},
 address = {Cambridge, UK},
 publisher = {{Cambridge University Press}},
 editor = {Barber, David and Cemgil, A. Taylan and Chiappa, Silvia}
}


@book{Barber2013,
 author = {Barber, David},
 year = {2012},
 title = {{Bayesian Reasoning and Machine Learning}},
 address = {Cambridge, UK},
 edition = {1},
 publisher = {{Cambridge University Press}}
}


@misc{Barkan2016,
 author = {Barkan, Oren and Weill, Jonathan and Averbuch, Amir},
 year = {2016},
 title = {{Gaussian Process Regression for Out-of-Sample Extension}}
}


@book{Barnett1994,
 author = {Barnett, Vic and Toby, Lewis},
 year = {1994},
 title = {{Outliers in Statistical Data}},
 address = {New York},
 edition = {3},
 publisher = {Wiley}
}


@article{Barr1999,
 author = {Barr, Donald R. and Sherrill, E. Todd},
 year = {1999},
 title = {{Mean and variance of truncated normal distributions}},
 pages = {357--361},
 volume = {53},
 number = {4},
 journal = {{The American Statistician}}
}


@book{BarShalom2001,
 author = {Bar-Shalom, Yaakov and Li, X. Rong and Kirubarajan, Thiagalingam},
 year = {2001},
 title = {{Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software}},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@article{Bavdekar2011,
 author = {Bavdekar, Vinay A. and Deshpande, Anjali P. and Patwardhan, Sachin C.},
 year = {2011},
 title = {{Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter}},
 volume = {21},
 number = {4},
 journal = {{Journal of Process Control}}
}


@phdthesis{Beal2003,
 author = {Beal, Matthew James},
 year = {2003},
 title = {{Variational algorithms for approximate Bayesian inference}},
 address = {London},
 school = {{University of London}}
}


@incollection{BenGal2005,
 author = {Ben-Gal, Irad},
 title = {{Outlier detection}},
 publisher = {{Kluwer Academic Publishers}},
 editor = {Rockach, L.},
 booktitle = {{Data Mining and Knowledge Discovery Handbook}},
 year = {2005}
}


@article{Bengio2013,
 author = {Bengio, Yoshua and Courville, Aaron and Vincent, Pascal},
 year = {2013},
 title = {{Representation Learning:~A Review and New Perspectives}},
 pages = {1798},
 volume = {35},
 number = {8},
 journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}}
}


@article{BenHur2010,
 author = {Ben-Hur, Asa and Weston, J.},
 year = {2010},
 title = {{A User's Guide to Support Vector Machines}},
 pages = {223--239},
 journal = {{Data Mining Techniques for the Life Sciences}}
}


@phdthesis{Berger2012,
 author = {Berger, Benjamin},
 year = {2012},
 title = {{Modeling and Optimization for Stationary Base Engine Calibration}},
 address = {M{\"u}nchen},
 publisher = {Lehrstuhl f{\"u}r Regelungstechnik der Fakult{\"a}t f{\"u}r Maschinenwesen},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@incollection{Berger2012b,
 author = {Berger, Benjamin and Rauscher, Florian},
 title = {{Robust Gaussian process modelling for engine calibration}},
 pages = {159--164},
 booktitle = {{Proceedings of the 7th Vienna International Conference on Mathematical Modelling (MATHMOD 2012)}},
 year = {2012}
}


@article{Bergstra2012,
 author = {Bergstra, James and Bengio, Yoshua},
 year = {2012},
 title = {{Random Search for Hyper-Parameter Optimization}},
 pages = {281--305},
 volume = {13},
 number = {1},
 journal = {{Journal of Machine Learning Research}}
}


@inproceedings{Bernard2001,
 author = {Bernard, T. and Cerrato-Jay, G. and Dong, J. and Pickering, D. J. and Braner, L. and Davidson, R. and Jay, M.},
 title = {{The Development of a Sound Quality-Based End-of-Line Inspection System for Powered Seat Adjusters}},
 booktitle = {{SAE 2001 World Congress}},
 year = {2001}
}


@article{Bishop1994,
 author = {Bishop, Christopher M.},
 year = {1994},
 title = {{Novelty detection and neural network validation}},
 pages = {217--222},
 volume = {141},
 number = {4},
 journal = {{IEE~Proceedings - Vision, Image and Signal Processing}}
}


@incollection{Bishop2000,
 author = {Bishop, Christopher M. and Tipping, Michael E.},
 title = {{Variational Relevance Vector Machines}},
 pages = {46--53},
 booktitle = {{Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence}},
 year = {2000}
}


@book{Bishop2006,
 author = {Bishop, Christopher M.},
 abstract = {The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.},
 year = {2006},
 title = {{Pattern Recognition and Machine Learning}},
 address = {New York},
 publisher = {Springer}
}


@electronic{BishopOnline,
 author = {Bishop, Christopher M. and McGrogan, Nicholas and Tarassenko, Lionel},
 title = {{Neural Network Training Using Multi-channel Data with Aggregate Labelling}}
}


@booklet{BITKOM2015,
 author = {BITKOM},
 year = {2015},
 title = {{Big Data und Gesch{\"a}ftsmodell-Innovationen in der Praxis: 40+ Beispiele: Leitfaden}}
}


@electronic{Blei2011,
 author = {Blei, David M.},
 year = {2011},
 title = {{Variational Inference}}
}


@electronic{Blei2017,
 author = {Blei, David M. and Kucukelbir, Alp and McAuliffe, Jon D.},
 year = {2017},
 title = {{Variational Inference: A Review for Statisticians}},
 url = {arXiv:1601.00670v5},
 address = {arXiv}
}


@article{Bobrow1985,
 author = {Bobrow, J. E. and Dubowsky, S. and Gibson, J. S.},
 year = {1985},
 title = {{Time-Optimal Control of Robotic Manipulators Along Specified Paths}},
 pages = {3--17},
 volume = {4},
 number = {3},
 journal = {{The International Journal of Robotics Research}}
}


@article{Bordoloi2014,
 author = {Bordoloi, D. J. and Tiwari, Rajiv},
 year = {2014},
 title = {{Support vector machine based optimization of multi-fault classification of gears with evolutionary algorithms from time-frequency vibration data}},
 pages = {1--14},
 volume = {55},
 journal = {{Measurement}}
}


@phdthesis{Borguet2012,
 author = {Borguet, S{\'e}bastien J.},
 year = {2012},
 title = {{Variations on the Kalman filter for enhanced performance monitoring of gas turbine engines}},
 address = {Li{\`e}ge},
 publisher = {Department of Aerospace and Mechanics},
 school = {{Universit{\'e} de Li{\`e}ge}}
}


@inproceedings{Botsch2007,
 author = {Botsch, Michael and Nossek, Josef A.},
 title = {{Feature Selection for Change Detection in Multivariate Time-Series}},
 pages = {590--597},
 booktitle = {{Proceedings of the 2007 IEEE Symposium on Computational~Intelligence and Datamining (CIDM~2007)}},
 year = {2007}
}


@inproceedings{Botsch2008,
 author = {Botsch, Michael and Nossek, Josef A.},
 title = {{Construction of Interpretable Radial Basis Function Classifiers Based on the Random Forest Kernel}},
 pages = {220--227},
 booktitle = {{Neural Networks}},
 year = {2008}
}


@phdthesis{Botsch2009,
 author = {Botsch, Michael},
 year = {2009},
 title = {{Machine Learning Techniques for Time Series Classification}},
 address = {M{\"u}nchen},
 publisher = {Fakult{\"a}t f{\"u}r Elektrotechnik und Informationstechnik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@unpublished{Botsch2013,
 author = {Botsch, Michael},
 year = {Wintersemester 2013 - 2014},
 title = {{Signalverarbeitung in der Fahrzeugsicherheit: Vorlesungsskript}},
 address = {Technische Hochschule Ingolstadt},
 note = {{Vorlesungsskript}}
}


@book{Box2005,
 author = {Box, George E. P. and Hunter, John Stuart and Hunter, William Gordon},
 year = {2005},
 title = {{Statistics for Experimenters: Design, Innovation, and Discovery}},
 address = {Hoboken, NJ},
 edition = {2},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@book{Box2008,
 author = {Box, George E. P. and Jenkins, Gwilym M. and Reinsel, Gregory C.},
 year = {2008},
 title = {{Time Series Analysis: Forecasting and Control}},
 address = {Hoboken, NJ},
 edition = {4. ed},
 publisher = {Wiley},
 isbn = {978-1-118-61919-3},
 series = {{Wiley series in probability and statistics}}
}


@book{Boyd2004,
 author = {Boyd, Stephen P. and Vandenberghe, Lieven},
 abstract = {From the publisher. Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.},
 year = {2004},
 title = {{Convex Optimization}},
 address = {Cambridge, UK and New York},
 publisher = {{Cambridge University Press}},
 isbn = {978-0-521-83378-3}
}


@phdthesis{Bradford2006,
 author = {Bradford, Samuel Case},
 year = {2006},
 title = {{Time-Frequency Analysis of Systems with Changing Dynamic Properties}},
 address = {Pasadena},
 school = {{California Institute of Technology}}
}


@article{Bradley1997,
 author = {Bradley, Andrew P.},
 year = {1997},
 title = {{The use of the area under the ROC curve in the evaluation of machine learning algorithms}},
 pages = {1145--1159},
 volume = {30},
 number = {7},
 journal = {{Pattern Recognition}}
}


@article{Breiman1996,
 author = {Breiman, Leo},
 year = {1996},
 title = {{Bagging Predictors}},
 pages = {123--140},
 volume = {24},
 number = {2},
 journal = {{Machine Learning}}
}


@article{Breiman2001,
 author = {Breiman, Leo},
 year = {2001},
 title = {{Statistical modeling: the two cultures}},
 pages = {1999-231},
 volume = {16},
 number = {3},
 journal = {{Statistical Science}}
}


@article{Breunig2000,
 author = {Breunig, Markus M. and Kriegel, Hans-Peter and Ng, Raymond T. and Sander, J{\"o}rg},
 year = {2000},
 title = {{LOF: identifying density-based local outliers}},
 pages = {93--104},
 volume = {29},
 number = {2},
 journal = {{ACM Sigmod Record}}
}


@article{Brodersen2015,
 author = {Brodersen, Kay H. and Gallusser, Fabian and Koehler, Jim and Remy, Nicolas and Scott, Steven L.},
 year = {2015},
 title = {{Inferring Causal Impact Using Bayesian Structural Time-Series Models}},
 pages = {247--274},
 volume = {9},
 number = {1},
 journal = {{The Annals of Applied Statistics}}
}


@book{Bronstein2013,
 author = {Bronstein, I. N. and Semendjaew, K. A.},
 year = {2013},
 title = {{Springer-Taschenbuch der Mathematik}},
 address = {Wiesbaden},
 edition = {3},
 publisher = {{Springer Spektrum}}
}


@phdthesis{Brummet2006,
 author = {Brummet, Klaus},
 year = {2006},
 title = {{Analyse, Optimierung und Interpretation der K{\"o}rper- und Luftschallmessungen an Abgasturboladern von Ottomotoren im Kalttest}},
 address = {Ingolstadt, Deutschland},
 publisher = {Fachbereich Maschinenbau},
 school = {{Fachhochschule Ingolstadt}}
}


@phdthesis{Brunet2010,
 author = {Brunet, Florent},
 year = {2010},
 title = {{Contributions to Parametric Image Registration and 3D Surface Reconstruction}},
 school = {{Universit{\'e} d' Auvergne}}
}


@electronic{Brunet2011,
 author = {Brunet, Florent},
 year = {2011},
 title = {{M-Estimator}},
 url = {http://www.brnt.eu/phd/node13.html},
 urldate = {29.04.2016}
}


@incollection{Bryant1999,
 author = {Bryant, Bruce D. and Marko, Kenneth A.},
 title = {{Case Example 2: Data analysis for diagnostics and process monitoring of automotive engines}},
 publisher = {{Springer US}},
 editor = {Lee, Jay and Wang, Ben},
 booktitle = {{Computer-aided Maintenance}},
 year = {1999}
}


@article{Bryll2003,
 author = {Bryll, Robert and Gutierrez-Osuna, Ricardo and Quek, Francis},
 year = {2003},
 title = {{Attribute bagging: improving accuracy of classier ensembles by using random feature subsets}},
 pages = {1291--1302},
 volume = {36},
 number = {6},
 journal = {{Pattern Recognition}}
}


@article{Budack2016,
 author = {Budack, Ralf and Wurms, Rainer and Mendl, G{\"u}nther and Heiduk, Thomas},
 year = {2016},
 title = {{Der neue 2,0-l-R4-TFSI-Motor von Audi}},
 pages = {16--25},
 volume = {77},
 number = {5},
 journal = {{MTZ-Motortechnische Zeitschrift}}
}


@article{Burges1998,
 author = {Burges, Christopher J.C.},
 year = {1998},
 title = {{A Tutorial on Support Vector Machines for Pattern Recognition}},
 pages = {121--167},
 volume = {2},
 number = {2},
 journal = {{Data Mining and Knowledge Discovery}}
}


@article{Burman1965,
 author = {Burman, J. Peter},
 year = {1965},
 title = {{Moving seasonal adjustment of economic time series}},
 pages = {534--558},
 volume = {128},
 number = {4},
 journal = {{Journal of the Royal Statistical Society. Series A (General)}}
}


@article{Burman1994,
 author = {Burman, Prabir},
 year = {1994},
 title = {{A cross-validation method for dependent data}},
 pages = {351--358},
 volume = {81},
 number = {2},
 journal = {{Biometrika}}
}


@book{Butz2012,
 author = {Butz, Tilman},
 year = {2012},
 title = {{Fouriertransformation f{\"u}r Fu{\ss}g{\"a}nger}},
 address = {Wiesbaden},
 edition = {7., aktualisierte Auflage},
 publisher = {{Vieweg+Teubner Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden}},
 isbn = {978-3-8348-0946-9},
 series = {{SpringerLink : B{\"u}cher}}
}


@inproceedings{Campbell2000,
 author = {Campbell, Colin and Bennett, Kristin P.},
 title = {{A Linear Programming Approach to Novelty Detection}},
 pages = {395},
 booktitle = {{Proceedings of the Advances in Neural Information Processing Systems}},
 year = {2000}
}


@book{Cappe2005,
 author = {Capp{\'e}, Olivier and Moulines, Eric and Ryd{\'e}n, Tobias},
 year = {2005},
 title = {{Inference in Hidden Markov Models}},
 address = {New York},
 publisher = {{Springer Science+Business Media}}
}


@inproceedings{Cappe2005b,
 author = {Capp{\'e}, Olivier and Moulines, Eric},
 title = {{Recursive computation of the score and observed information matrix in hidden markov models}},
 pages = {703--708},
 booktitle = {{Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on}},
 year = {2005}
}


@inproceedings{Carbery2018,
 author = {Carbery, Caoimhe M. and Woods, Roger and Marshall, Adele H.},
 title = {{A Bayesian network based learning system for modelling faults in large-scale manufacturing}},
 pages = {1357--1362},
 booktitle = {{Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT), to be published}},
 year = {2018}
}


@article{Carlsson2009,
 author = {Carlsson, Lars and Helgee, Ernst Ahlberg and Boyer, Scott},
 year = {2009},
 title = {{Interpretation of Nonlinear QSAR Models Applied to Ames Mutagenicity Data}},
 pages = {2551--2558},
 volume = {49},
 number = {11},
 journal = {{J. Chem. Inf. Model.}}
}


@article{Cawley2010,
 author = {Cawley, Gavin C. and Talbot, Nicola L. C.},
 year = {2010},
 title = {{On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation}},
 pages = {2079--2107},
 volume = {11},
 journal = {{Journal of Machine Learning Research}}
}


@book{Chacon,
 author = {Chacon, Scott and Straub, Ben},
 title = {{Pro Git}},
 edition = {2}
}


@book{Chacon2009,
 author = {Chacon, Scott},
 year = {2009},
 title = {{Pro Git}}
}


@article{Chan2007,
 author = {Chan, Tao and Morris, Julian and Martin, Elaine},
 year = {2007},
 title = {{Gaussian process regression for multivariate spectroscopic calibration}},
 pages = {59--71},
 volume = {87},
 number = {1},
 journal = {{Chemometrics and Intelligent Laboratory Systems}}
}


@booklet{Chan2013,
 author = {Chan, Antoni B.},
 year = {2013},
 title = {{Multivariate generalized Gaussian process models}}
}


@booklet{Chandola2007,
 author = {Chandola, Varun and Banerjee, Arindam and Kumar, Vipin},
 year = {2007},
 title = {{Anomaly Detection: A Survey}}
}


@inproceedings{Chandola2008,
 author = {Chandola, Varun and Mithal, Varun and Kumar, Vipin},
 title = {{Comparative evaluation of anomaly detection techniques for sequence data}},
 pages = {743--748},
 booktitle = {{2008 Eigth IEEE International Conference on Data Mining}},
 year = {2008}
}


@phdthesis{Chandola2009,
 author = {Chandola, Varun},
 year = {2009},
 title = {{Anomaly Detection for Symbolic Sequences and Time Series Data}},
 school = {{University of Minnesota}}
}


@article{Chandola2009b,
 author = {Chandola, Varun and Banerjee, Arindam and Kumar, Vipin},
 year = {2009},
 title = {{Anomaly detection: a survey}},
 volume = {41},
 number = {3},
 journal = {{ACM Computing Surveys}}
}


@article{Chang2006,
 author = {Chang, Fay and Dean, Jeffrey and Ghemawat, Sanjay and Hsieh, Wilson C. and Wallach, Deborah A. and Burrows, Mike and Chandra, Tushar and Fikes, Andrew and Gruber, Robert E.},
 title = {{Bigtable: A Distributed Storage System for Structured Data}},
 volume = {2006}
}


@phdthesis{Chang2013,
 author = {Chang, Wei-Cheng and Lee, Ching-Pei and Lin, Chih-Jen},
 year = {2013},
 title = {{A revisit to support vector data description}},
 address = {Taipei, Taiwan},
 school = {{National Taiwan University}}
}


@book{Chapra2008,
 author = {Chapra, Steven C.},
 year = {2008},
 title = {{Applied numerical methods with MATLAB for engineers and scientists: Includes bibliographical references (S. 579) and index}},
 address = {Boston, Mass.},
 edition = {2. ed},
 publisher = {{McGraw-Hill Higher Education}},
 isbn = {978-0-07-313290-7}
}


@article{Chatterjee1986,
 author = {Chatterjee, Samprit and Hadi, Ali S.},
 year = {1986},
 title = {{Influential Observations, High Leverage Points, and Outliers in Linear Regression}},
 pages = {379--393},
 volume = {1},
 number = {3},
 journal = {{Statistical Science}}
}


@article{Chawla2008,
 author = {Chawla, Nitesh V. and Cieslak, David A. and Hall, Lawrence O. and Joshi, Ajay},
 year = {2008},
 title = {{Automatically countering imbalance and its empirical relationship to cost}},
 pages = {225--252},
 volume = {17},
 number = {2},
 journal = {{Data Mining and Knowledge Discovery}}
}


@book{Chen1999,
 author = {Chen, Jie and Patton, Ron},
 year = {1999},
 title = {{Robust model-based fault diagnosis for dynamic systems}},
 address = {Boston},
 volume = {3},
 publisher = {Kluwer},
 isbn = {0-7923-8411-3},
 series = {{The Kluwer international series on Asian studies in computer and information science}}
}


@booklet{Chen2003,
 author = {Chen, Zhe},
 year = {2003},
 title = {{Bayesian filtering: From Kalman filters to particle filters, and beyond}}
}


@booklet{ChenTutorial,
 author = {Chen, Pai-Hsuen and Lin, Chih-Jen and Sch{\"o}lkopf, Bernhard},
 title = {{A tutorial on nu-support vector machines}}
}


@article{Cheplygina2011,
 author = {Cheplygina, Veronika and Tax, David Martinus Johannes},
 year = {2011},
 title = {{Pruned random subspace method for one-class classifiers}},
 pages = {96--105},
 volume = {6713},
 journal = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}}
}


@phdthesis{Chesnutt2012,
 author = {Chesnutt, Catherine},
 year = {2012},
 title = {{Feature Generation of EEG Data Using Wavelet Analysis}},
 school = {{Texas Tech University}}
}


@book{Chiang2001,
 author = {Chiang, Leo H. and Russell, Evan and Braatz, Richard D.},
 year = {2001},
 title = {{Fault detection and diagnosis in industrial systems}},
 address = {London},
 publisher = {Springer},
 isbn = {1-85233-327-8}
}


@book{Chui1998,
 author = {Chui, C. K. and Chen, G.},
 year = {1998},
 title = {{Kalman Filtering with Real-Time Applications}},
 address = {Berlin Heidelberg},
 publisher = {Springer-Verlag}
}


@article{Cizek1970,
 author = {Cizek, V.},
 abstract = {The Hilbert transform{\textless}tex{\textgreater}H{f(t)}{\textless}/tex{\textgreater}of a given waveform{\textless}tex{\textgreater}f(t){\textless}/tex{\textgreater}is defined with the convolution{\textless}tex{\textgreater}H{f(t)} = f(t) ast (1/pit){\textless}/tex{\textgreater}. It is well known that the second type of Hilbert transform{\textless}tex{\textgreater}K{\_}{0}{f(x)}=phi(x) ast (1/2pi)cotfrac{1}{2}x{\textless}/tex{\textgreater}exists for the transformed function{\textless}tex{\textgreater}f(tgfrac{1}{2}x)= phi(x){\textless}/tex{\textgreater}. If the function{\textless}tex{\textgreater}f(t){\textless}/tex{\textgreater}is periodic, it can be proved that one period of the{\textless}tex{\textgreater}H{\textless}/tex{\textgreater}transform of{\textless}tex{\textgreater}f(t){\textless}/tex{\textgreater}is given by the H{\textless}inf{\textgreater}1{\textless}/inf{\textgreater}transform of one period of{\textless}tex{\textgreater}f(t){\textless}/tex{\textgreater}without regard to the scale of tbe variable. On the base of the discrete Fourier transform (DFT), the discrete Hilbert transform (DHT) is introduced and the defining expression for it is given. It is proved that this expression of DHT is identical to the relation obtained by the use of the trapezoidal rule to the cotangent form of the Hilbert transform.},
 year = {1970},
 title = {{Discrete Hilbert transform}},
 pages = {340--343},
 volume = {18},
 number = {4},
 journal = {{Audio and Electroacoustics, IEEE Transactions on}}
}


@booklet{Clayton,
 author = {Kleeman, Lindsay},
 title = {{Understanding and Applying Kalman Filtering}},
 address = {Clayton}
}


@inproceedings{Clifton2006,
 author = {Clifton, Lei A. and Yin, Hujun and Zhang, Yang},
 title = {{Support vector machine in novelty detection for multi-channel combustion data}},
 pages = {836--843},
 volume = {3},
 booktitle = {{3rd International Symposium on Neural Networks}},
 year = {2006}
}


@incollection{Clifton2007,
 author = {Clifton, Lei A. and Yin, Hujun and Clifton, David A. and Zhang, Yang},
 title = {{Combined Support Vector Novelty Detection for Multi-channel Combustion Data}},
 pages = {495--500},
 booktitle = {{Networking, Sensing and Control, 2007 IEEE International Conference on}},
 year = {2007}
}


@incollection{Clifton2008,
 author = {Clifton, David A. and McGrogan, Nicholas and Tarassenko, Lionel},
 title = {{Bayesian Extreme Value Statistics for Novelty Detection in Gas-Turbine Engines}},
 pages = {1--11},
 booktitle = {{Aerospace Conference, 2008 IEEE}},
 year = {2008}
}


@incollection{Clifton2009,
 author = {Clifton, David A. and Hugueny, Samuel and Tarassenko, Lionel},
 title = {{A comparison of approaches to multivariate extreme value theory for novelty detection}},
 pages = {13--16},
 booktitle = {{IEEE/SP 15th Workshop on Statistical Signal Processing}},
 year = {2009}
}


@electronic{Collins2008,
 author = {Collins},
 year = {2008},
 title = {{Completing the Square, Step-by-step}}
}


@book{Colosimo2007,
 year = {2007},
 title = {{Bayesian Process Monitoring, Control and Optimization}},
 address = {Boca Raton, USA},
 publisher = {{Chapman {\&} Hall / CRC}},
 editor = {Colosimo, Bianca M. and {Del Castillo}, Enrique}
}


@booklet{Comesana2017,
 author = {Comesana, Daniel Fernandez and Pousa, Graciano Carrillo and Tijs, Emiel},
 year = {2017},
 title = {{Integration of an End-of-Line System for Vibro-Acoustic Characterization and Fault Detection of Automotive Components Based on Particle Velocity Measurements}},
 number = {2017-01-1761},
 series = {{SAE Technical Paper}}
}


@book{Commandeur2007,
 author = {Commandeur, Jacques J. F. and Koopman, Siem Jan},
 year = {2007},
 title = {{An Introduction to State Space Time Series Analysis}},
 address = {Oxford},
 publisher = {{Oxford University Press}}
}


@article{Compton,
 author = {Compton, R. T.},
 year = {1992},
 title = {{Fourteen Steps to a Clearly Written Technical Paper}},
 journal = {{IEEE~Circuits and Devices Magazine}}
}


@book{Corke2017,
 author = {Corke, Peter},
 year = {2017},
 title = {{Robotics, Vision and Control: Fundamental Algorithms in MATLAB}},
 edition = {2},
 publisher = {{Springer International Publishing}}
}


@proceedings{Coyle2009,
 year = {2009},
 title = {{Artificial Intelligence and Cognitive Science: 20th Irish Conference, AICS 2009}},
 publisher = {Springer},
 editor = {Coyle, Lorcan and Freyne, Jill}
}


@incollection{Dang2014,
 author = {Dang, Xuan Hong and Ng, Raymond T. and Zimek, Arthur and Schubert, Erich},
 title = {{Discriminative Features for Identifying and Interpreting Outliers}},
 pages = {88--99},
 booktitle = {{30th International Conference on Data Engineering}},
 year = {2014}
}


@article{Davidson2007,
 author = {Davidson, Susan B. and Cohen-Boulakia, Sarah and Eyal, Anat and Lud{\"a}scher, Bertram and McPhillips, Timothy and Bowers, Shawn and Anand, Manish Kumar and Freire, Juliana},
 year = {2007},
 title = {{Provenance in Scientific Workflow Systems}},
 pages = {44--50},
 volume = {30},
 number = {4},
 journal = {{IEEE Data Eng. Bull.}}
}


@inproceedings{Davis2006,
 author = {Davis, Jesse and Goadrich, Mark},
 title = {{The relationship between Precision-Recall and ROC curves}},
 pages = {233--240},
 booktitle = {{Proceedings of the 23rd international conference on Machine learning}},
 year = {2006}
}


@misc{Deisenroth2012,
 author = {Deisenroth, Marc Peter},
 year = {2012},
 title = {{Expectation Propagation in Dynamical Systems}}
}


@article{DelCastillo1996,
 author = {{Del Castillo}, Enrique and Grayson, James M. and Montgomery, Douglas C. and Runger, George C.},
 year = {1996},
 title = {{A review of statistical process control techniques for short run manufacturing systems}},
 pages = {2723--2737},
 volume = {25},
 number = {11},
 journal = {{Communications in Statistics - Theory and Methods}}
}


@article{DelgadoArredondo2017,
 author = {Delgado-Arredondo, PauloAntonio and Morinigo-Sotelo, Daniel and Osornio-Rios, Roque Alfredo and Avina-Cervantes, Juan Gabriel and Rostro-Gonzalez, Horacio and Romero-Troncoso, Rene de Jesus},
 year = {2017},
 title = {{Methodology for fault detection in induction motors via sound and vibration signals}},
 pages = {568--589},
 volume = {83},
 journal = {{Mechanical Systems and Signal Processing}}
}


@electronic{Dell,
 author = {Dell},
 title = {{Statistics Current - Textbook}}
}


@electronic{Dell2015,
 author = {Dell},
 year = {2015},
 title = {{Statistics - Textbook}}
}


@inproceedings{Delvecchio2007,
 author = {Delvecchio, Simone and Dalpiaz, G. and Niculita, O. and {{\&} Rivola}, A.},
 title = {{Condition monitoring in diesel engines for cold test applications. Part I: vibration analysis for pass/fail decision}},
 pages = {197--206},
 booktitle = {{Proceedings of the 20th International Congress {\&} Exhibition on Condition Monitoring and Diagnostic Engineering Management}},
 year = {2007}
}


@article{Delvecchio2007b,
 author = {Delvecchio, Simone and Niculita, O. and Dalpiaz, G. and Rivola, A.},
 year = {2007},
 title = {{Condition Monitoring in Diesel Engines for Cold Test Applications. Part II: Comparison of Vibration Analysis Techniques}},
 journal = {{Stroke 2000}}
}


@article{Delvecchio2010,
 author = {Delvecchio, Simone and D'Elia, Gianluca and Mucchi, Emiliano and Dalpiaz, Giorgio},
 year = {2010},
 title = {{Advanced Signal Processing Tools for the Vibratory Surveillance of Assembly Faults in Diesel Engine Cold Tests}},
 volume = {132},
 number = {2},
 journal = {{Journal of Vibration and Acoustics}}
}


@incollection{Delvecchio2012,
 author = {Delvecchio, Simone},
 title = {{On the Use of Wavelet Transform for Practical Condition Monitoring Issues}},
 publisher = {InTech},
 isbn = {978-953-51-0494-0},
 editor = {Baleanu, Dumitru and Aydin, Handan},
 booktitle = {{Advances in wavelet theory and their applications in engineering, physics and technology}},
 year = {2012}
}


@article{Delvecchio2015,
 author = {Delvecchio, S. and D'Elia, G. and Dalpiaz, G.},
 year = {2015},
 title = {{On the use of cyclostationary indicators in IC engine quality control by cold tests}},
 pages = {208--228},
 volume = {60-61},
 journal = {{Mechanical Systems and Signal Processing}}
}


@book{Demetgul2017,
 year = {2017},
 title = {{Fault Diagnosis and Detection}},
 publisher = {InTech},
 editor = {Demetgul, Mustafa and Ünal, Muhammet}
}


@article{Demir2007,
 author = {Demir, Beg{\"u}m and Ert{\"u}rk, Sarp},
 year = {2007},
 title = {{Hyperspectral Image Classification Using Relevance Vector Machines}},
 pages = {586--590},
 volume = {4},
 number = {4},
 journal = {{IEEE Geoscience and Remote Sensing Letters}}
}


@article{Dempster1977,
 author = {Dempster, Arthur P. and Laird, Nan M. and Rubin, Donald B.},
 year = {1977},
 title = {{Maximum likelihood from incomplete data via the EM~algorithm}},
 pages = {1--38},
 volume = {39},
 number = {1},
 journal = {{Journal of the Royal Statistical Society. Series B (Methodological)}}
}


@incollection{Demyanov2012,
 author = {Demyanov, Sergey and Bailey, James and Ramamohanarao, Kotagiri and Leckie, Christopher},
 title = {{AIC and BIC based approaches for SVM parameter value estimation with RBF kernels}},
 pages = {97--112},
 booktitle = {{Asian Conference on Machine Learning 2012}},
 year = {2012}
}


@article{DePalma2017,
 author = {{De Palma}, Daniela and Indiveri, Giovanni},
 year = {2017},
 title = {{Output outlier robust state estimation}},
 pages = {581--607},
 volume = {31},
 number = {4},
 journal = {{International Journal of Adaptive Control and Signal Processing}}
}


@article{Desir2013,
 author = {D{\'e}sir, Chesner and Bernard, Simon and Petitjean, Caroline and Laurent, Heutte},
 year = {2013},
 title = {{One class random forests}},
 pages = {3490--3506},
 volume = {46},
 number = {12},
 journal = {{Pattern Recognition}}
}


@book{Deuflhard2011,
 author = {Deuflhard, Peter},
 year = {2011},
 title = {{Newton Methods for Nonlinear Problems: Affine Invariance and Adaptive Algorithms}},
 address = {Berlin, Heidelberg},
 volume = {35},
 publisher = {{Springer-Verlag Berlin Heidelberg}},
 isbn = {978-3-642-23898-7},
 series = {{Springer series in computational mathematics}}
}


@phdthesis{Diehl2009,
 author = {Diehl, Moritz},
 year = {2009},
 title = {{Script for Numerical Optimization Course}}
}


@inproceedings{DiLello2013,
 author = {{Di Lello}, Enrico and Klotzb{\"u}cher, Markus and de Laet, Tinne and Bruyninckx, Herman},
 title = {{Bayesian Time-Series Models for Continuous Fault Detection and Recognition in Industrial Robotic Tasks}},
 pages = {5827--5833},
 booktitle = {{IEEE/RSJ~International Conference on Intelligent Robots and Systems (IROS)}},
 year = {2013}
}


@inproceedings{Ding2008,
 author = {Ding, Hui and Trajcevski, Goce and Scheuermann, Peter and Wang, Xiaoyue and Keogh, Eamonn J.},
 title = {{Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures}},
 pages = {1542--1552},
 volume = {2},
 booktitle = {{Proceedings of the VLDB Endowment}},
 year = {2008}
}


@book{Ding2014,
 author = {Ding, Steven X.},
 year = {2014},
 title = {{Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems}}
}


@phdthesis{Doetlinger2016,
 author = {D{\"o}tlinger, Alexander Markus},
 year = {2016},
 title = {{Near Minimum-Time Predictive Reference Governors for Mechatronic Drive Systems}},
 address = {M{\"u}nchen},
 publisher = {Fakult{\"a}t f{\"u}r Elektrotechnik und Informationstechnik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{Domingos2012,
 author = {Domingos, Pedro},
 year = {2012},
 title = {{A Few Useful Things to Know about Machine Learning}},
 pages = {78--87},
 volume = {55},
 number = {10},
 journal = {{Communications of the ACM}}
}


@article{Doucet2000,
 author = {Doucet, Arnaud and Godsill, Simon and Andrieu, Christophe},
 year = {2000},
 title = {{On sequential Monte Carlo sampling methods for Bayesian filtering}},
 pages = {197--208},
 volume = {10},
 number = {3},
 journal = {{Statistics and Computing}}
}


@inproceedings{Drummond2000,
 author = {Drummond, Chris},
 title = {{Explicitly Representing Expected Cost: An Alternative to ROC~Representation}},
 pages = {198--207},
 booktitle = {{Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining}},
 year = {2000}
}


@article{Drummond2006,
 author = {Drummond, Chris and Holte, Robert C.},
 year = {2006},
 title = {{Cost Curves: An Improved Method for Visualizing Classifier Performance}},
 pages = {95--130},
 volume = {65},
 number = {1},
 journal = {{Machine Learning Journal}}
}


@book{Duda2001,
 author = {Duda, Richard O. and Hart, Peter E. and Stork, David G.},
 year = {2001},
 title = {{Pattern Classification: Erg. bildet: Stork, David G.: Computer manual in MATLAB to accompany Pattern Classification, second edition}},
 address = {New York},
 edition = {2. ed},
 publisher = {Wiley},
 isbn = {978-0-471-05669-0}
}


@book{Duin2007,
 author = {Duin, Robert P. W. and Pekalska, El{\.z}bieta},
 year = {2007},
 title = {{The Science of Pattern Recognition. Achievements and Perspectives.}}
}


@article{Durbin2002,
 author = {Durbin, James and Koopman, Siem Jan},
 year = {2002},
 title = {{A simple and efficient simulation smoother for state space time series analysis}},
 pages = {603--615},
 volume = {89},
 number = {3},
 journal = {{Biometrika}}
}


@book{Durbin2012,
 author = {Durbin, James and Koopman, Siem Jan},
 year = {2012},
 title = {{Time Series Analysis by State Space Methods}},
 edition = {2},
 publisher = {{Oxford University Press}}
}


@phdthesis{Duvenaud2014,
 author = {Duvenaud, David Kristjanson},
 year = {2014},
 title = {{Automatic Model Construction with Gaussian Processes}},
 school = {{University of Cambridge}}
}


@booklet{Ebden2008,
 author = {Ebden, Mark},
 year = {2008},
 title = {{Gaussian processes for regression: a quick introduction; Gaussian processes for classification: a quick introduction}}
}


@booklet{Eick,
 author = {Eick, Christoph F. and Zeidat, Nidal and Zhao, Zhenghong},
 title = {{Supervised Clustering - Algorithms and Benefits}}
}


@article{Eiser2011,
 author = {Eiser, A. and Doerr, J. and Jung, M. and Adam, S.},
 year = {2011},
 title = {{The New 1.8 L TFSI Engine from Audi -- Part 1: Base Engine and Thermomanagement}},
 pages = {32--39},
 volume = {72},
 number = {6},
 journal = {{MTZ worldwide eMagazine}}
}


@incollection{Elkan2001,
 author = {Elkan, Charles},
 title = {{The foundations of cost-sensitive learning}},
 pages = {973--978},
 booktitle = {{Proceedings of the Seventeenth International Joint Confer}},
 year = {2001}
}


@incollection{Elkan2008,
 author = {Elkan, Charles and Noto, Keith},
 title = {{Learning classifiers from only positive and unlabeled data}},
 pages = {213--220},
 booktitle = {{Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining}},
 year = {2008}
}


@book{Elliott2006,
 year = {2006},
 title = {{Handbook of Economic Forecasting, Volume 1}},
 address = {Amsterdam},
 publisher = {Elsevier},
 editor = {Elliott, Graham and Granger, Clive W. J. and Timmermann, Allan}
}


@book{Elliott2013a,
 year = {2013},
 title = {{Handbook of Economic Forecasting, Volume 2, Part A}},
 address = {Amsterdam},
 publisher = {Elsevier},
 editor = {Elliott, Graham and Timmermann, Allan}
}


@book{Elliott2013b,
 year = {2013},
 title = {{Handbook of Economic Forecasting, Volume 2, Part B}},
 address = {Amsterdam},
 publisher = {Elsevier},
 editor = {Elliott, Graham and Timmermann, Allan}
}


@phdthesis{Endisch2009,
 author = {Endisch, Christian},
 year = {2009},
 title = {{Optimierungsstrategien f{\"u}r die Identifikation mechatronischer Systeme}},
 address = {M{\"u}nchen},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@phdthesis{Endisch2013,
 author = {Endisch, Christian},
 year = {2013},
 title = {{Systemidentifikation in der Mechatronik}},
 address = {M{\"u}nchen},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{EngelnMullges2011,
 author = {Engeln-M{\"u}llges, Gisela and Niederdrenk, Klaus and Wodicka, Reinhard},
 year = {2011},
 title = {{Numerik-Algorithmen: Verfahren, Beispiele, Anwendungen}},
 journal = {{Numerik-Algorithmen}}
}


@inproceedings{Escalante2005,
 author = {Escalante, H. Jair},
 title = {{A comparison of outlier detection algorithms for machine learning}},
 pages = {228--237},
 booktitle = {{Proceedings of the International Conference on Communications in Computing}},
 year = {2005}
}


@article{Esling2012,
 author = {Esling, Philippe and Agon, Carlos},
 year = {2012},
 title = {{Time-series data mining}},
 volume = {45},
 number = {1},
 journal = {{ACM Computing Surveys}}
}


@inproceedings{Evangelista2005,
 author = {Evangelista, Paul F. and Bonnisone, Piero and Embrechts, Mark J.},
 title = {{Fuzzy ROC curves for the 1 class SVM: application to intrusion detection}},
 booktitle = {{Proceedings International Joint Conference on Neural Networks}},
 year = {2005}
}


@book{Everitt2005,
 year = {2005},
 title = {{Encyclopedia of Statistics in Behavioral Science}},
 editor = {Everitt, Brian S. and Howell, David C.}
}


@article{Fahrmeir1999,
 author = {Fahrmeir, Ludwig and K{\"u}nstler, Rita},
 year = {1999},
 title = {{Penalized Likelihood Smoothing in Robust State Space Models}},
 pages = {173--191},
 volume = {49},
 number = {3},
 journal = {{Metrika}}
}


@article{Fan2000,
 author = {Fan, Chih-Min and Guo, Ruey-Shan and Chang, Shi-Chung and Wei, Chih-Shih},
 year = {2000},
 title = {{SHEWMA: an end-of-line SPC scheme using wafer acceptance test data}},
 pages = {344--358},
 volume = {13},
 number = {3},
 journal = {{IEEE Transactions on Semiconductor Manufacturing}}
}


@book{Faraway2002,
 author = {Faraway, Julian J.},
 year = {2002},
 title = {{Practical Regression and Anova using R}}
}


@booklet{Fawcett,
 author = {Fawcett, Tom},
 year = {2004},
 title = {{ROC Graphs:  Notes and Practical Considerations for Data Mining Researchers}}
}


@article{Fawcett2006,
 author = {Fawcett, Tom},
 year = {2006},
 title = {{An introduction to ROC analysis}},
 pages = {861--874},
 volume = {27},
 number = {8},
 journal = {{Pattern Recognition Letters}}
}


@article{Feldman2011,
 author = {Feldman, Michael},
 year = {2011},
 title = {{Hilbert Transform in Vibration Analysis}},
 pages = {735--802},
 volume = {25},
 number = {3},
 journal = {{Mechanical Systems and Signal Processing}}
}


@article{Feng2013,
 author = {Feng, Zhipeng and Liang, Ming and Chu, Fulei},
 year = {2013},
 title = {{Recent Advances in Time--Frequency Analysis Methods for Machinery Fault Diagnosis: A Review with Application Examples}},
 pages = {165--205},
 volume = {38},
 number = {1},
 journal = {{Mechanical Systems and Signal Processing}}
}


@incollection{Ferdousi2006,
 author = {Ferdousi, Zakia and Maeda, Akira},
 title = {{Unsupervised outlier detection in time series data}},
 urldate = {pdf},
 pages = {51--56},
 booktitle = {{Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW'06)}},
 year = {2006}
}


@article{Fernandez1998,
 author = {Fern{\'a}ndez, Carmen and Steel, Mark F. J.},
 year = {1998},
 title = {{On bayesian modeling of fat tails and skewness}},
 pages = {359--371},
 volume = {93},
 number = {441},
 journal = {{Journal of the American Statistical Association}}
}


@booklet{Feuersanger2016,
 author = {Feuers{\"a}nger, Christian},
 year = {06.01.2016},
 title = {{Manual for Package pgfplots}}
}


@book{Field2002,
 author = {Field, Andy and Hole, Graham J.},
 year = {2002},
 title = {{How to Design and Report Experiments}},
 publisher = {Sage}
}


@booklet{Fletcher2009,
 author = {Fletcher, Tristan},
 year = {2009},
 title = {{Support Vector Machines Explained}}
}


@article{Flett2016,
 author = {Flett, Justin and Bone, Gary M.},
 year = {2016},
 title = {{Fault detection and diagnosis of diesel engine valve trains}},
 pages = {316--327},
 volume = {72-73},
 journal = {{Mechanical Systems and Signal Processing}}
}


@book{Forta2004,
 author = {Forta, Ben},
 year = {2004},
 title = {{Sams Teach Yourself Regular Expressions in 10 Minutes}},
 publisher = {{Sams Publishing}}
}


@inproceedings{Foti2014,
 author = {Foti, Nicholas J. and Xu, Jason and Laird, Dillon and Fox, Emily B.},
 title = {{Stochastic Variational Inference for Hidden Markov Models}},
 pages = {3599--3607},
 booktitle = {{Advances in Neural Information Processing Systems 2014}},
 year = {2014}
}


@article{Fox1972,
 author = {Fox, A. J.},
 year = {1972},
 title = {{Outliers in time series}},
 pages = {350--363},
 volume = {34},
 number = {3},
 journal = {{Journal of the Royal Statistical Society. Series B (Methodological)}}
}


@phdthesis{Fox2009,
 author = {Fox, Emily B.},
 year = {2009},
 title = {{Bayesian Nonparametric Learning of Complex Dynamical Phenomena}},
 publisher = {Department of Electrical Engineering and Computer Sciences},
 school = {{Massachusetts Institute of Technology}}
}


@booklet{Fox2013,
 author = {Fox, John and Weisberg, Sanford},
 year = {2013},
 title = {{Robust Regression}}
}


@article{Fox2015,
 author = {Fox, Emily B. and Dunson, David B.},
 year = {2015},
 title = {{Bayesian Nonparametric Covariance Regression}},
 pages = {2501--2542},
 volume = {16},
 journal = {{Journal of Machine Learning Research}}
}


@book{Franklin1998,
 author = {Franklin, Gene F. and Powell, J. David and Workman, Michael L.},
 year = {1998},
 title = {{Digital Control of Dynamic Systems}},
 address = {Menlo Park},
 edition = {3},
 publisher = {Addison-Wesley}
}


@electronic{FraunhoferGesellschaft,
 author = {Fraunhofer-Gesellschaft},
 title = {{Projekt VAVID; Fraunhofer-Institut f{\"u}r Algorithmen und Wissenschaftliches Rechnen SCAI}},
 url = {http://www.izb.fraunhofer.de/news/article/mit-vavid-bekommen-technologie-unternehmen-ihre-datenmassen-besser-in-den-griff.html}
}


@booklet{Freytag2012,
 author = {Freytag, Alexander and Rodner, Erik and Bodesheim, Paul and Denzler, Joachim},
 year = {2012},
 title = {{Beyond classification -- large-scale Gaussian process inference and uncertainty prediction}}
}


@book{Friedl2006,
 author = {Friedl, Jeffrey E.F.},
 year = {2006},
 title = {{Mastering Regular Expressions}},
 edition = {3},
 publisher = {O'Reilly}
}


@book{FruhwirthSchnatter2006,
 author = {Fr{\"u}hwirth-Schnatter, Sylvia},
 year = {2006},
 title = {{Finite mixture and Markov switching models}},
 address = {New York},
 edition = {1},
 publisher = {Springer}
}


@article{Fu2011,
 author = {Fu, Tak-chung},
 year = {2011},
 title = {{A Review on Time Series Data Mining}},
 pages = {164--181},
 volume = {24},
 number = {1},
 journal = {{Engineering Applications of Artificial Intelligence}}
}


@inproceedings{Funfgeld2016,
 author = {F{\"u}nfgeld, Sebastian and Holz{\"a}pfel, Marc and Frey, Michael and Gauterin, Frank},
 title = {{Driver State Estimation for Prediction of Vehicle States Within Control Systems}},
 pages = {1386--1391},
 booktitle = {{2016 IEEE Intelligent Vehicles Symposium}},
 year = {2016}
}


@article{Fussel2001,
 author = {F{\"u}ssel, Dominik},
 abstract = {Parit{\"a}tsgleichungen, Parametersch{\"a}tzung, Neural network, Fuzzy logic},
 year = {2001},
 title = {{Fault Diagnosis with Tree-Structured Neuro-Fuzzy Systems}},
 number = {957},
 journal = {{Fortschritt-Berichte VDI Reihe 8}}
}


@article{Fussel2002,
 author = {F{\"u}ssel, Dominik},
 year = {2002},
 title = {{Fault Diagnosis with Tree-Structured Neuro-Fuzzy Systems}},
 volume = {8},
 number = {957???},
 journal = {{Fortschr.-Ber. VDI}}
}


@article{Gandhi2010,
 author = {Gandhi, Mital A. and Mili, Lamine},
 year = {2010},
 title = {{Robust Kalman filter based on a generalized maximum-likelihood-type estimator}},
 pages = {2509--2520},
 volume = {58},
 number = {5},
 journal = {{IEEE Transactions on Signal Processing}}
}


@article{Gao2011,
 author = {Gao, Yan and Li, Yiqun},
 year = {2011},
 title = {{Improving Gaussian process classification with outlier detection, with applications in image classification}},
 pages = {153--164},
 volume = {6495},
 number = {4},
 journal = {{Lecture Notes in Computer Science}}
}


@article{Gao2015,
 author = {Gao, Zhiwei and Cecati, Carlo and Ding, Steven X.},
 year = {2015},
 title = {{A survey of fault diagnosis and fault-tolerant techniques - Part I: Fault diagnosis with model-based and signal-based approaches}},
 pages = {3757--3767},
 volume = {62},
 number = {6},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@article{Gao2015b,
 author = {Gao, Zhiwei and Cecati, Carlo and Ding, Steven X.},
 year = {2015},
 title = {{A survey of fault diagnosis and fault-tolerant techniques---part II: fault diagnosis with knowledge-based and hybrid/active approaches}},
 pages = {3768--3774},
 volume = {62},
 number = {6},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@article{Garibaldi2004,
 author = {Garibaldi, Luigi and Antoni, Jer{\^o}me},
 year = {2004},
 title = {{State of the art and developments of diesel engine in-line tests monitoring}},
 pages = {24--30},
 number = {38},
 journal = {{Acoustique {\&} techniques}}
}


@article{Garrett1989,
 author = {Garrett, Robert G.},
 year = {1989},
 title = {{The chi-square plot: a tool for multivariate outlier recognition}},
 pages = {319--341},
 volume = {32},
 number = {1},
 journal = {{Journal of Geochemical Exploration}}
}


@article{Garrett1993,
 author = {Garrett, James H. and Case, Michael P. and Hall, James W. and Yerramareddy, Sudhakar and Herman, Allen and Sun, Ruofei and Ranjithan, S. and Westervelt, James},
 year = {1993},
 title = {{Engineering Applications of Neural Networks}},
 pages = {1--21},
 volume = {4},
 number = {1},
 journal = {{Journal of Intelligent Manufacturing}}
}


@book{Gauss1809,
 author = {Gau{\ss}, Karl Friedrich and Davis, Charles Henry},
 year = {1809},
 title = {{Theoria motus corporum coelestium in sectionibus conicis solem ambientum: Theory of motion of the celestial bodies moving in conic sections around the Sun}}
}


@article{Gelman2006,
 author = {Gelman, Andrew},
 year = {2006},
 title = {{Prior distributions for variance parameters in hierarchical models}},
 pages = {515--553},
 volume = {1},
 number = {3},
 journal = {{Bayesian Analysis}}
}


@book{Gelman2007,
 author = {Gelman, Andrew and Hill, Jennifer},
 year = {2007},
 title = {{Data Analysis using Regression and Multilevel/Hierarchical Models}},
 publisher = {{Cambridge University Press}}
}


@book{Gelman2014,
 author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
 year = {2014},
 title = {{Bayesian Data Analysis}},
 address = {Boca Raton, London, New York},
 edition = {3},
 publisher = {{CRC Press}}
}


@article{Gelman2014b,
 author = {Gelman, Andrew and Hwang, Jessica and Vehtari, Aki},
 year = {2014},
 title = {{Understanding predictive information criteria for Bayesian models}},
 pages = {997--1016},
 volume = {24},
 number = {6},
 journal = {{Statistics and Computing}}
}


@electronic{Gelman2017,
 author = {Gelman, Andrew and Vehtari, Aki and Jyl{\"a}nki, Pasi and Sivula, Tuomas and Tran, Dustin and Sahai, Swupnil and Blomstedt, Paul and Cunningham, John P. and Schiminovich, David and Robert, Christian},
 year = {2017},
 title = {{Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data}},
 url = {https://arxiv.org/abs/1412.4869},
 address = {arXiv}
}


@misc{Gertler,
 author = {Gertler, Janos},
 title = {{Fault Detection and Diagnosis in Engineering Systems}}
}


@inproceedings{Gertler1991,
 author = {Gertler, Janos},
 title = {{Analytical Redundancy Methods in Fault Detection and Isolation}},
 pages = {9--21},
 volume = {1},
 booktitle = {{Proceedings of IFAC/IAMCS symposium on safe process}},
 year = {1991}
}


@book{Gertler1998,
 author = {Gertler, Janos},
 year = {1998},
 title = {{Fault Detection and Diagnosis in Engineering Systems}},
 address = {New York},
 publisher = {Dekker},
 isbn = {0-8247-9427-3}
}


@incollection{Gertler2015,
 author = {Gertler, Janos},
 title = {{Fault Detection and Diagnosis}},
 pages = {417--422},
 publisher = {Springer-Verlag},
 editor = {Baillieul, J. and Samad, T.},
 booktitle = {{Encyclopedia of Systems and Control}},
 year = {2015}
}


@inproceedings{Geurts2001,
 author = {Geurts, Pierre},
 title = {{Pattern Extraction for Time Series Classification}},
 editor = {de Raedt, Luc and Siebes, Arno},
 booktitle = {{Principles of Data Mining and Knowledge Discovery}},
 year = {2001}
}


@phdthesis{Geurts2002,
 author = {Geurts, Pierre},
 year = {2002},
 title = {{Contributions to Decision Tree Induction:~Bias/Variance Tradeoff and Time Series Classification}},
 school = {{Universit{\'e} de Li{\`e}ge}}
}


@inproceedings{Geurts2011,
 author = {Geurts, Pierre},
 title = {{Learning from positive and unlabeled examples by enforcing statistical significance}},
 pages = {305--314},
 booktitle = {{International Conference on Artificial Intelligence and Statistics}},
 year = {2011}
}


@book{Gevatter2006,
 author = {Gevatter, Hans-J{\"u}rgen and Gr{\"u}nhaupt, Ulrich},
 year = {2006},
 title = {{Handbuch der Mess- und Automatisierungstechnik in der Produktion}},
 publisher = {{Springer-Verlag Berlin Heidelberg}},
 isbn = {978-3-540-21207-2}
}


@incollection{Geweke2006,
 author = {Geweke, John and Whiteman, Charles},
 title = {{Bayesian Forecasting}},
 pages = {3--80},
 publisher = {Elsevier},
 editor = {Elliott, Graham and Granger, Clive W. J. and Timmermann, Allan},
 booktitle = {{Handbook of Economic Forecasting, Volume 1}},
 year = {2006}
}


@booklet{Ghahramani1996,
 author = {Ghahramani, Z. and Hinton, G. E.},
 year = {1996},
 title = {{Parameter estimation for linear dynamical systems: Technical Report CRG-TR-96-2}}
}


@incollection{Ghahramani1998,
 author = {Ghahramani, Zoubin},
 title = {{Learning dynamic Bayesian networks}},
 pages = {168--197},
 publisher = {Springer-Verlag},
 editor = {Giles, C. Lee and Gori, Marco},
 booktitle = {{Adaptive Processing of Sequences and Data Structures}},
 year = {1998}
}


@article{Ghahramani2001,
 author = {Ghahramani, Zoubin},
 year = {2001},
 title = {{An Introduction to Hidden Markov Models and Bayesian Networks}},
 pages = {9--42},
 volume = {15},
 number = {1},
 journal = {{International Journal of Pattern Recognition and Articial Intelligence}}
}


@booklet{Ghahramani2011,
 author = {Ghahramani, Zoubin},
 year = {2011},
 title = {{A tutorial on Gaussian processes: Or why I don't use SVMs}}
}


@incollection{Ghidella2007,
 author = {Ghidella, Jason R. and Wakefield, Amory and Grad-Freilich, Silvina and Friedman, Jon and Cherian, Vinod},
 title = {{The Use of Computing Clusters and Automatic Code Generation to Speed Up Simulation Tasks}},
 booktitle = {{AIAA Modeling and Simulation Technologies Conference and Exhibit 2007}},
 year = {2007}
}


@book{Giles1998,
 year = {1998},
 title = {{Adaptive Processing of Sequences and Data Structures}},
 address = {Berlin Heidelberg},
 publisher = {Springer-Verlag},
 editor = {Giles, C. Lee and Gori, Marco}
}


@article{GitHub,
 author = {GitHub},
 title = {{Git Cheat Sheet}}
}


@phdthesis{Glose2016,
 author = {Glose, Daniel},
 year = {2016},
 title = {{Modulation Strategies for Symmetrical Six-Phase Drives}},
 address = {M{\"u}nchen},
 school = {{TU M{\"u}nchen}}
}


@article{Gordon1993,
 author = {Gordon, Neil J. and Salmond, David J. and Smith, Adrian FM.},
 year = {1993},
 title = {{Novel approach to nonlinear/non-Gaussian Bayesian state estimation}},
 pages = {107--113},
 volume = {140},
 number = {2},
 journal = {{IEE Proceedings F (Radar and Signal Processing)}}
}


@article{Gornitz2013,
 author = {G{\"o}rnitz, Nico and Kloft, Marius and Rieck, Konrad and Brefeld, Ulf},
 year = {2013},
 title = {{Toward Supervised Anomaly Detection}},
 pages = {235--262},
 volume = {46},
 journal = {{Journal of Artificial Intelligence Research 4}}
}


@book{Goyvaerts2012,
 author = {Goyvaerts, Jan and Levithan, Steven},
 year = {2012},
 title = {{Regular Expressions Cookbook}},
 edition = {2},
 publisher = {O'Reilly}
}


@booklet{Graffox2009,
 author = {Graffox, D.},
 year = {2009},
 title = {{IEEE Citation Reference}}
}


@book{Greuter2011,
 author = {Greuter, Ernst and Zima, Stefan and Hoffmann, Werner},
 year = {2011},
 title = {{Motorsch{\"a}den: Sch{\"a}den an Verbrennungsmotoren und deren Ursachen}}
}


@book{Grewal2008,
 author = {Grewal, Mohinder S. and Andrews, Angus P.},
 year = {2008},
 title = {{Kalman Filtering: Theory and Practice Using MATLAB}},
 address = {Hoboken, New Jersey},
 edition = {3},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@phdthesis{Gronowski2004,
 author = {Gronowski, Kai},
 year = {2004},
 title = {{Evaluierung der Sensor-Aktor-Pr{\"u}fungen im Motor-Endfunktionstest f{\"u}r 6-Zylinder-Verbrennungsmotoren der Volkswagen AG unter Einbeziehung der FSI-Technologie}},
 publisher = {Fachbereich Elektrotechnik},
 school = {{Fachhochschule Braunschweig/Wolfenb{\"u}ttel}}
}


@article{Grosenick2008,
 author = {Grosenick, Logan and Greer, Stephanie and Knutson, Brian},
 year = {2008},
 title = {{Interpretable Classifiers for fMRI Improve Prediction of Purchases}},
 pages = {539--548},
 volume = {16},
 number = {6},
 journal = {{IEEE Transactions on Neural Systems and Rehabilitation Engineering}}
}


@article{Grossi2012,
 author = {Grossi, F. and Palladino, A. and Zanasi, R. and Fiengo, G.},
 year = {2012},
 title = {{Modelling of an internal combustion engine using power-oriented graphs and electrical analogy}},
 pages = {122--133},
 volume = {16},
 number = {2},
 journal = {{nternational Journal of Modelling, Identification and Control}}
}


@article{Grubbs1969,
 author = {Grubbs, Frank E.},
 year = {1969},
 title = {{Procedures for Detecting Outlying Observations in Samples}},
 pages = {1--21},
 volume = {11},
 number = {1},
 journal = {{Technometrics}}
}


@booklet{Gruber2015,
 author = {Gruber, Lutz F. and West, Mike},
 year = {2015},
 title = {{Bayesian Forecasting and Portfolio Decisions Using Simultaneous Graphical Dynamic Linear Models}},
 address = {Durham, North Carolina, USA}
}


@phdthesis{Gruber2015b,
 author = {Gruber, Lutz F.},
 year = {2015},
 title = {{Bayesian Modeling of General Multivariate Problems and High-Dimensional Time Series}},
 address = {Munich, Germany},
 publisher = {Fakult{\"a}t f{\"u}r Mathematik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{Gruber2016,
 author = {Gruber, Lutz F. and West, Mike},
 year = {2016},
 title = {{GPU-Accelerated Bayesian Learning and Forecasting in Simultaneous Graphical Dynamic Linear Models}},
 pages = {125--149},
 volume = {11},
 number = {1},
 journal = {{Bayesian Analysis}}
}


@book{Grzechca2011,
 year = {2011},
 title = {{Assembly Line - Theory and Practice}},
 isbn = {978-953-307-995-0},
 editor = {Grzechca, Waldemar}
}


@article{Gupta2014,
 author = {Gupta, Manish and Gao, Jing and Aggarwal, Charu C. and Han, Jiawei},
 year = {2014},
 title = {{Outlier Detection for Temporal Data: A Survey}},
 pages = {2250--2267},
 volume = {26},
 number = {9},
 journal = {{IEEE Transactions on Knowledge and Data Engineering}}
}


@book{Gustafsson2011,
 author = {Gustafsson, Bertil},
 year = {2011},
 title = {{Fundamentals of Scientific Computing}},
 address = {Berlin and Heidelberg and New York},
 volume = {8},
 publisher = {Springer},
 isbn = {978-3-642-19494-8},
 series = {{Texts in computational science and engineering}}
}


@book{Gustafsson2012,
 author = {Gustafsson, Fredrik},
 year = {2012},
 title = {{Statistical Sensor Fusion}},
 address = {Lund},
 publisher = {Studentlitteratur}
}


@article{Guyon2002,
 author = {Guyon, Isabelle and Weston, Jason and Barnhill, Stephen and Vapnik, Vladimir Naumovich},
 year = {2002},
 title = {{Gene selection for cancer classification using support vector machines}},
 pages = {389--422},
 volume = {46},
 number = {3},
 journal = {{Machine Learning}}
}


@phdthesis{Hackl2012,
 author = {Hackl, Christoph M.},
 year = {2011},
 title = {{Contributions to high-gain adaptive control in mechatronics}},
 address = {M{\"u}nchen},
 publisher = {Fakult{\"a}t f{\"u}r Elektrotechnik und Informationstechnik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@book{Hagan2014,
 author = {Hagan, Martin T. and Demuth, Howard B. and Beale, Mark H. and de Jes{\'u}s, Orlando},
 year = {2014},
 title = {{Neural Network Design}},
 edition = {2nd Edition}
}


@book{HaghaniAbandanSari2014,
 author = {{Haghani Abandan Sari}, Adel},
 year = {2014},
 title = {{Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes}},
 publisher = {{Springer Vieweg}}
}


@article{Halko2011,
 author = {Halko, Nathan and Martinsson, Per-Gunnar and Tropp, Joel A.},
 year = {2011},
 title = {{Finding structure with randomness:~probabilistic algorithms for constructing approximate matrix decompositions}},
 pages = {217--288},
 volume = {53},
 number = {2},
 journal = {{SIAM~Review}}
}


@book{Hamel2009,
 author = {Hamel, Lutz},
 year = {2009},
 title = {{Knowledge Discovery with Support Vector Machines}},
 publisher = {{John Wiley {\&} Sons}}
}


@book{Hametner2001,
 author = {Hametner, Thomas},
 year = {2001},
 title = {{Weiterentwicklung der Endfunktionspr{\"u}fung von Verbrennungskraftmaschinen in der Gro{\ss}serienproduktion: Fortschrittsberichte VDI, Reihe 12, Nr. 478}},
 address = {D{\"u}sseldorf},
 publisher = {{VDI Verlag GmbH}}
}


@article{Hametner2002,
 author = {Hametner, Thomas and Weyrer-Perthold, Brigitte and Lenz, Hans-Peter},
 year = {2002},
 title = {{Weiterentwicklung der Endfunktionspr{\"u}fung von Ottomotoren}},
 pages = {378--383},
 volume = {63},
 number = {5},
 journal = {{MTZ-Motortechnische Zeitschrift}}
}


@article{Hametner2002b,
 author = {Hametner, Thomas and Weyrer-Perthold, Brigitte and Lenz, Hans-Peter},
 year = {2002},
 title = {{Further development of the final functional test for gasoline engines}},
 pages = {14--16},
 volume = {63},
 number = {5},
 journal = {{MTZ worldwide}}
}


@book{Hampel1986,
 author = {Hampel, Frank R. and Ronchetti, Elvezio and Rousseeuw, Peter J. and Stahel, Werner A.},
 year = {1986},
 title = {{Robust Statistics}},
 address = {New York},
 publisher = {{John Wiley {\&} Sons}}
}


@book{Han2011,
 author = {Han, Jiawei and Kamber, Micheline and Pei, Jian},
 year = {2011},
 title = {{Data Mining: Concepts and Techniques}},
 edition = {3},
 publisher = {{Morgan Kaufmann Publishers}}
}


@article{Han2011b,
 author = {Han, Min and Zhao, Yao},
 year = {2011},
 title = {{Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine}},
 pages = {14786--14798},
 volume = {38},
 number = {12},
 journal = {{Expert Systems with Applications}}
}


@book{Hardle2015,
 author = {H{\"a}rdle, Wolfgang Karl and Simar, L{\'e}opold},
 year = {2015},
 title = {{Applied Multivariate Statistical Analysis}},
 address = {Heidelberg, New York, Dordrecht, London},
 edition = {4},
 publisher = {Springer}
}


@book{Hardle2015b,
 author = {H{\"a}rdle, Wolfgang Karl and Klinke, Sigbert and R{\"o}nz, Bernd},
 year = {2015},
 title = {{Introduction to Statistics}},
 address = {Cham, Heidelberg, New York, Dordrecht, London},
 edition = {1},
 publisher = {Springer}
}


@article{Harmeling2006,
 author = {Harmeling, Stefan and Dornhege, Guido and Tax, David Martinus Johannes and Meinecke, Frank and M{\"u}ller, Klaus-Robert},
 year = {2006},
 title = {{From outliers to prototypes: Ordering data}},
 pages = {1608--1618},
 volume = {69},
 number = {13-15},
 journal = {{Neurocomputing}}
}


@article{Harvey1990,
 author = {Harvey, A. C. and Peters, S.},
 year = {1990},
 title = {{Estimation Procedures for Structural Time Series Models}},
 volume = {9},
 journal = {{Journal of Forecasting}}
}


@book{Harvey1994,
 author = {Harvey, A. C.},
 year = {1994},
 title = {{Forecasting, Structural Time Series Models and the Kalman Filter}},
 publisher = {{Cambridge University Press}}
}


@book{Harvey2003,
 author = {Harvey, Andrew},
 year = {2003},
 title = {{Forecasting, Structural Time Series Models and the Kalman Filter}},
 address = {Cambridge},
 publisher = {{Cambridge University Press}}
}


@book{Harvey2004,
 year = {2004},
 title = {{State Space and Unobserved Component Models: Theory and Applications}},
 address = {Cambridge},
 publisher = {{Cambridge University Press}},
 editor = {Harvey, Andrew and Koopman, Siem Jan and Shephard, Neil}
}


@incollection{Harvey2006,
 author = {Harvey, Andrew},
 title = {{Forecasting with Unobserved Components Time Series Models}},
 pages = {327--412},
 publisher = {Elsevier},
 editor = {Elliott, Graham and Granger, Clive W. J. and Timmermann, Allan},
 booktitle = {{Handbook of Economic Forecasting, Volume 1}},
 year = {2006}
}


@book{Harvey2013,
 author = {Harvey, Andrew},
 year = {2013},
 title = {{Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series}},
 address = {Cambridge},
 publisher = {{Cambridge University Press}}
}


@article{Hashlamon2016,
 author = {Hashlamon, Iyad and Erbatur, Kemalettin},
 year = {2016},
 title = {{An improved real-time adaptive Kalman Filter with recursive noise covariance updating rules}},
 pages = {524--540},
 volume = {24},
 number = {2},
 journal = {{Turkish Journal of Electrical Engineering {\&} Computer Sciences}}
}


@book{Hastie2009,
 author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
 year = {2009},
 title = {{The Elements of Statistical Learning: Data Mining, Inference, and Prediction}},
 address = {New York},
 edition = {2},
 publisher = {Springer}
}


@book{Hauschild1984,
 author = {Hauschild, Wolfgang and Mosch, Wolfgang},
 year = {1984},
 title = {{Statistik f{\"u}r Elektrotechniker: Eine Darstellung an Beispielen aus der Hochspannungstechnik}},
 address = {Berlin},
 publisher = {{Verl. Technik}}
}


@inproceedings{Hayton2001,
 author = {Hayton, Paul and Tarassenko, Lionel and Sch{\"o}lkopf, Bernhard and Anuzis, Paul},
 title = {{Support vector novelty detection applied to jet engine vibration spectra}},
 pages = {946--952},
 booktitle = {{Advances in Neural Information Processing Systems 13}},
 year = {2000}
}


@article{Haywood1997,
 author = {Haywood, J. and Wilson, G. Tunnicliffe},
 year = {1997},
 title = {{Fitting time series models by minimizing multistep-ahead errors: a frequency domain approach}},
 pages = {237--254},
 volume = {59},
 number = {1},
 journal = {{Journal of the Royal Statistical Society. Series B (Methodological)}}
}


@book{Hedrick2010,
 author = {Hedrick, J. K. and Girard, A.},
 year = {2010},
 title = {{Control of Nonlinear Dynamic Systems: Theory and Applications}}
}


@article{Heiduk2011,
 author = {Heiduk, T. and Kuhn, M. and Stichlmeir, M. and Unselt, F.},
 year = {2011},
 title = {{The New 1.8 L TFSI Engine from Audi -- Part 2: Mixture Formation, Combustion Method and Turbocharging}},
 pages = {58--64},
 volume = {72},
 number = {7},
 journal = {{MTZ worldwide eMagazine}}
}


@article{Hempstalk2008,
 author = {Hempstalk, Kathryn and Frank, Eibe and Witten, Ian H.},
 year = {2008},
 title = {{One-class Classification By Combining Density and Class Probability Estimation}},
 journal = {{Knowledge Discovery in Databases}}
}


@article{Heng2009,
 author = {Heng, Aiwina and Zhang, Sheng and Tan, Andy C.C. and Mathew, Joseph},
 year = {2009},
 title = {{Rotating Machinery Prognostics: State of the Art, Challenges and Opportunities}},
 pages = {724--739},
 volume = {23},
 number = {3},
 journal = {{Mechanical Systems and Signal Processing}}
}


@article{Henger2007,
 author = {Henger, Karl-Anton},
 year = {2007},
 title = {{Cold Testing of IC~Engines}},
 journal = {{Engine Technology International}}
}


@article{Henriquez2014,
 author = {Henr{\'i}quez, Patricia and Alonso, Jes{\'u}s B. and Ferrer, Miguel A. and Travieso, Carlos M.},
 year = {2014},
 title = {{Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals}},
 pages = {642--652},
 volume = {44},
 number = {5},
 journal = {{IEEE Transactions on Systems, Man, and Cybernetics: Systems}}
}


@book{Hering2003,
 year = {2003},
 title = {{Qualit{\"a}tsmanagement f{\"u}r Ingenieure}},
 address = {Berlin Heidelberg},
 edition = {5},
 publisher = {Springer-Verlag},
 editor = {Hering, Ekbert and Triemel, J{\"u}rgen and Blank, Hans-Peter}
}


@booklet{Hermann2016,
 author = {Hermann, Simone},
 year = {2016},
 title = {{Bayesian prediction for stochastic processes}}
}


@book{Herout2010,
 year = {2010},
 title = {{Pattern Recognition Recent Advances}},
 publisher = {InTech},
 isbn = {978-953-7619-90-9},
 editor = {Herout, Adam}
}


@article{Hido2011,
 author = {Hido, Shohei and Tsuboi, Yuta and Kashima, Hisashi and Sugiyama, Masashi and Kanamore, Takafumi},
 year = {2011},
 title = {{Statistical Outlier Detection using Direct Density Ratio Estimation}},
 pages = {309--336},
 volume = {26},
 number = {2},
 journal = {{Knowledge and information systems}}
}


@article{Hodge2004,
 author = {Hodge, Victoria J. and Austin, Jim},
 year = {2004},
 title = {{A Survey of Outlier Detection Methodologies}},
 pages = {85--126},
 volume = {22},
 number = {2},
 journal = {{Artificial Intelligence Review}}
}


@article{Hoffmann2007,
 author = {Hoffmann, Heiko},
 year = {2007},
 title = {{Kernel PCA for Novelty Detection}},
 pages = {863--874},
 volume = {40},
 number = {3},
 journal = {{Pattern Recognition}}
}


@phdthesis{Hofmann2006,
 author = {Hofmann, Martin},
 year = {2006},
 title = {{Support Vector Machines --- Kernels and the Kernel Trick}}
}


@booklet{Holmes2008,
 author = {Holmes, Chris},
 year = {2008},
 title = {{Markov Chain Monte Carlo and Applied Bayesian Statistics: a short course}}
}


@book{Hosmer2013,
 author = {Hosmer, David W. and Lemeshow, Stanley and Sturdivant, Rodney X.},
 year = {2013},
 title = {{Applied Logistic Regression}},
 edition = {3},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@book{Hows,
 author = {Hows, David and Membrey, Peter and Plugge, Eelco and Hawkins, Tim},
 title = {{The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB}}
}


@phdthesis{Hu2013,
 author = {Hu, Qipeng},
 year = {2013},
 title = {{Development of a real-time wavelet library and its application in electric machine control}},
 address = {M{\"u}nchen},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{Huber1964,
 author = {Huber, Peter J.},
 year = {1964},
 title = {{Robust Estimation of a Location Parameter}},
 pages = {73--101},
 volume = {35},
 number = {1},
 journal = {{The Annals of Mathematical Statistics}}
}


@book{Huber2009,
 author = {Huber, Peter J. and Ronchetti, Elvezio},
 year = {2009},
 title = {{Robust Statistics}},
 address = {Hoboken, N.J.},
 publisher = {{Wiley InterScience}}
}


@article{Hyndman1996,
 author = {Hyndman, Rob J.},
 year = {1996},
 title = {{Computing and Graphing Highest Density Regions}},
 pages = {120--126},
 volume = {50},
 number = {2},
 journal = {{The American Statistician}}
}


@article{Hyvarinen2000,
 author = {Hyv{\"a}rinen, A. and Oja, E.},
 year = {2000},
 title = {{Independent component analysis: algorithms and applications}},
 pages = {411--430},
 volume = {13},
 number = {4-5},
 journal = {{Neural Networks}}
}


@article{IEEE,
 author = {Laukonen, E. G. and Passino, K. M. and Krishnaswami, V. and Luh, G.-C. and Rizzoni, Giorgio},
 year = {1995},
 title = {{Fault Detection and Isolation for an Experimental Internal Combustion Engine via Fuzzy Identification}},
 pages = {347--355},
 volume = {3},
 number = {3},
 journal = {{IEEE~Transactions on Control Systems Technology}}
}


@booklet{IEEE0,
 author = {IEEE},
 year = {0},
 title = {{How to write for technical periodicals {\&} conferences}}
}


@proceedings{IEEE2008,
 year = {2008},
 title = {{19th International Conference on Pattern Recognition}},
 editor = {IEEE}
}


@booklet{IEEE2014,
 author = {IEEE},
 year = {2014},
 title = {{IEEE Editorial Style Manual}}
}


@booklet{IEEE2015,
 author = {IEEE},
 year = {2015},
 title = {{Wie schreibe ich einen Fachartikel f{\"u}r IEEE?}}
}


@booklet{IEEEb,
 author = {IEEE},
 title = {{IEEE Editorial Style Manual Short}}
}


@booklet{IEEEc,
 author = {IEEE},
 year = {2013},
 title = {{Preparation of Papers for IEEE Transactions and Journals}}
}


@booklet{IEEEd,
 author = {IEEE},
 title = {{Article Abstract Description and Specifications}}
}


@booklet{IEEEe,
 author = {IEEE},
 title = {{Frequently Asked Questions About IEEE Author-Supplied Graphics and Multimedia}}
}


@booklet{IEEEf,
 author = {IEEE},
 title = {{How to use the IEEEtran Latex Class}}
}


@proceedings{IFAC2002,
 year = {2002},
 title = {{Proc. 15th IFAC World Congress}},
 institution = {IFAC}
}


@book{Iglewicz1993,
 author = {Iglewicz, Boris and Hoaglin, David},
 year = {1993},
 title = {{The ASQC Basic References in Quality Control: Statistical Techniques: Volume 16: How to Detect and Handle Outliers}}
}


@incollection{Ilonen2006,
 author = {Ilonen, J. and Paalanen, P. and Kamarainen, J.-K. and K{\"a}lvi{\"a}inen, H.},
 title = {{Gaussian mixture pdf in one-class classification: computing and utilizing confidence values}},
 booktitle = {{18th International Conference on Pattern Recognition 2006}},
 year = {2006}
}


@phdthesis{Ingelfinger,
 author = {Ingelfinger, U.},
 title = {{Einf{\"u}hrung in MATLAB~und SIMULINK}}
}


@electronic{Internet,
 author = {Internet},
 abstract = {Fehlerkosten 10er-Regel (rule of ten)},
 title = {{Six Sigma Black Belt: Informationen rund um Lean, Lean Six Sigma, Six Sigma}}
}


@misc{Isermann,
 author = {Isermann, Rolf},
 title = {{Literatur{\"u}bersicht und Signal Analysis Methods: Scans}}
}


@article{Isermann1993,
 author = {Isermann, Rolf},
 year = {1993},
 title = {{Fault Diagnosis of Machines via Parameter Estimation and Knowledge Processing - Tutorial Paper}},
 pages = {815--835},
 volume = {29},
 number = {4},
 journal = {{Automatica}}
}


@article{Isermann1997,
 author = {Isermann, Rolf},
 year = {1997},
 title = {{Supervision, Fault-Detection and Fault-Diagnosis Methods - An Introduction}},
 pages = {639--652},
 volume = {5},
 number = {5},
 journal = {{Control Eng. Practice}}
}


@book{Isermann2003,
 author = {Isermann, Rolf},
 year = {2003},
 title = {{Modellgest{\"u}tzte Steuerung, Regelung und Diagnose von Verbrennungsmotoren: Mit 26 Tabellen}},
 address = {Berlin},
 publisher = {Springer},
 isbn = {3-540-44286-3}
}


@book{Isermann2003b,
 author = {Isermann, Rolf},
 year = {2003},
 title = {{Mechatronic Systems}},
 address = {London},
 publisher = {Springer}
}


@article{Isermann2005,
 author = {Isermann, Rolf},
 year = {2005},
 title = {{Model-Based Fault-Detection and Diagnosis -- Status and Applications}},
 pages = {71--85},
 volume = {29},
 number = {1},
 journal = {{Annual Reviews in Control}}
}


@book{Isermann2006,
 author = {Isermann, Rolf},
 year = {2006},
 title = {{Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance}},
 address = {Berlin and Heidelberg},
 publisher = {Springer}
}


@book{Isermann2010,
 year = {2010},
 title = {{Elektronisches Management motorischer Fahrzeugantriebe: Elektronik, Modellbildung, Regelung und Diagnose f{\"u}r Verbrennungsmotoren, Getriebe und Elektroantriebe ; mit 24 Tabellen}},
 address = {Wiesbaden},
 edition = {1. Aufl},
 publisher = {{Vieweg + Teubner}},
 isbn = {978-3-8348-0855-4},
 series = {{Praxis}},
 editor = {Isermann, Rolf}
}


@book{Isermann2011,
 author = {Isermann, Rolf},
 year = {2011},
 title = {{Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems}},
 address = {Berlin},
 publisher = {Springer},
 isbn = {978-3-642-12766-3}
}


@book{Isermann2011b,
 author = {Isermann, Rolf and M{\"u}nchhof, Marco},
 year = {2011},
 title = {{Identification of Dynamic Systems: An Introduction with Applications}},
 address = {Berlin},
 publisher = {Springer},
 isbn = {9783540788782}
}


@book{Isermann2014,
 author = {Isermann, Rolf},
 year = {2014},
 title = {{Engine Modeling and Control}},
 address = {Berlin, Heidelberg},
 publisher = {{Springer Berlin Heidelberg}},
 isbn = {978-3-642-39933-6}
}


@book{Isermann2017,
 author = {Isermann, Rolf},
 year = {2017},
 title = {{Combustion Engine Diagnosis: Model-based Condition Monitoring of Gasoline and Diesel Engines and their Components}}
}


@book{Isidori1995,
 author = {Isidori, Alberto},
 year = {1995},
 title = {{Nonlinear Control Systems}},
 address = {London},
 edition = {3},
 publisher = {Springer-Verlag}
}


@article{Jack2001,
 author = {Jack, L. B. and Nandi, A. K.},
 year = {2001},
 title = {{Support vector machines for detection and characterization of rolling element bearing faults}},
 pages = {1065--1074},
 volume = {215},
 number = {9},
 journal = {{Proceedings of the Institution of Mechanical Engineers, Part C:~Journal of Mechanical Engineering Science}}
}


@article{Jack2002,
 author = {Jack, L. B. and Nandi, A. K.},
 year = {2002},
 title = {{Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms}},
 pages = {373--390},
 volume = {16},
 number = {2-3},
 journal = {{Mechanical Systems and Signal Processing}}
}


@phdthesis{Jacobsen2008,
 author = {Jacobsen, Ute},
 year = {2008},
 title = {{Benchmarking Endkontrollen in der mechanischen Fertigung}},
 address = {Hildesheim/Holzminden/G{\"o}ttingen},
 school = {{Hochschule f{\"u}r Angewandte Wissenschaft und Kunst}}
}


@article{Jain2000,
 author = {Jain, Anil K. and Duin, Robert P. W. and Mao, Jianchang},
 year = {2000},
 title = {{Statistical Pattern Recognition: A Review}},
 pages = {4--37},
 volume = {22},
 number = {1},
 journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}}
}


@booklet{Jalles2009,
 author = {Jalles, Joao Tovar},
 year = {2009},
 title = {{Structural Time Series Models and the Kalman Filter: a concise review}}
}


@book{James2013,
 author = {James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},
 year = {2013},
 title = {{An Introduction to Statistical Learning: with Applications in R}}
}


@article{Jardine2006,
 author = {Jardine, Andrew K.S. and Lin, Daming and Banjevic, Dragan},
 year = {2006},
 title = {{A review on machinery diagnostics and prognostics implementing condition-based maintenance}},
 pages = {1483--1510},
 volume = {20},
 number = {7},
 journal = {{Mechanical Systems and Signal Processing}}
}


@book{Jaynes2003,
 author = {Jaynes, E. T.},
 year = {2003},
 title = {{Probability Theory: The Logic of Science}},
 address = {Cambridge, UK},
 publisher = {{Cambridge University Press}},
 isbn = {1-139-63632-4}
}


@book{Jazwinski1970,
 year = {1970},
 title = {{Stochastic Processes and Filtering Theory}},
 publisher = {{Academic Press}},
 editor = {Jazwinski, Andrew H.}
}


@book{Jolliffe2002,
 author = {Jolliffe, Ian T.},
 year = {2002},
 title = {{Principal Component Analysis}},
 address = {New York},
 edition = {2},
 publisher = {Springer}
}


@article{Jonuscheit2000,
 author = {Jonuscheit, Horst and Strama, Olaf},
 year = {2000},
 title = {{Akustische Pr{\"u}fung von Verbrennungsmotoren in der Produktion}},
 pages = {768--777},
 volume = {61},
 number = {11},
 journal = {{MTZ~Motortechnische Zeitschrift}}
}


@book{Jordan1998,
 year = {1998},
 title = {{Learning in Graphical Models}},
 publisher = {{Springer Netherlands}},
 editor = {Jordan, Michael I.}
}


@phdthesis{Jorg2008,
 author = {J{\"o}rg, Andreas},
 year = {2008},
 title = {{Optimale Auslegung und Betriebsf{\"u}hrung von Hybridfahrzeugen}},
 address = {M{\"u}nchen},
 publisher = {Lehrstuhl f{\"u}r Elektrische Antriebssysteme},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@inproceedings{Jose2013,
 author = {Jose, Cijo and Goyal, Prasoon and Aggrwal, Parv},
 title = {{Local deep kernel learning for efficient non-linear SVM~prediction}},
 pages = {486--494},
 booktitle = {{Proceedings of the 30th international conference on machine learning (ICML-13)}},
 year = {2013}
}


@inproceedings{Julier1995,
 author = {Julier, Simon J. and Uhlmann, Jeffrey K. and Durrant-Whyte, Hugh F.},
 title = {{A new approach for filtering nonlinear systems}},
 pages = {1628--1632},
 volume = {3},
 booktitle = {{Proceedings of the 1995 American Control Conference}},
 year = {1995}
}


@article{Julier2004,
 author = {Julier, Simon J. and Uhlmann, Jeffrey K.},
 year = {2004},
 title = {{Unscented filtering and nonlinear estimation}},
 pages = {401--422},
 volume = {92},
 number = {3},
 journal = {{Proceedings of the IEEE}}
}


@incollection{Juszczak2002,
 author = {Juszczak, P. and Tax, David Martinus Johannes and Duin, Robert P. W.},
 title = {{Feature scaling in support vector data description}},
 booktitle = {{Proc. ASCI 2002}}
}


@article{Jylanki2011,
 author = {Jyl{\"a}nki, Pasi and Vanhatalo, Jarno and Vehtari, Aki},
 year = {2011},
 title = {{Robust Gaussian Process Regression with a Student-t Likelihood}},
 pages = {3227--3257},
 volume = {12},
 journal = {{Journal of Machine Learning Research}}
}


@booklet{Kaferstein2002,
 author = {K{\"a}ferstein, B.},
 year = {2002},
 title = {{Ordnungsanalyse-Toolbox f{\"u}r MATLAB}},
 number = {27},
 series = {{Institutsmitteilung}}
}


@book{Kailath2000,
 author = {Kailath, Thomas and Sayed, ‎Ali H. and Hassibi, ‎Babak},
 year = {2000},
 title = {{Linear Estimation}},
 publisher = {{Prentice Hall}}
}


@article{Kalman1960,
 author = {Kalman, Rudolph Emil},
 year = {1960},
 title = {{A new approach to linear filtering and prediction problems}},
 pages = {35--45},
 volume = {82},
 number = {1},
 journal = {{Journal of Basic Engineering}}
}


@article{Kalman1960b,
 author = {Kalman, Rudolph Emil},
 year = {1960},
 title = {{Contributions to the theory of optimal control}},
 pages = {102--119},
 volume = {5},
 number = {2},
 journal = {{Bol. Soc. Mat. Mexicana}}
}


@article{Kalman1961,
 author = {Kalman, Rudolph Emil and Bucy, Richard S.},
 year = {1961},
 title = {{New results in linear filtering and prediction theory}},
 pages = {95--108},
 volume = {83},
 number = {1},
 journal = {{Journal of Basic Engineering}}
}


@booklet{Kamper2013,
 author = {Kamper, Herman},
 year = {2013},
 title = {{Vector and Matrix Calculus}}
}


@electronic{Karl2017,
 author = {Karl, Maximilian and Soelch, Maximilian and Bayer, Justin and {van der Smagt}, Patrick},
 year = {2017},
 title = {{Deep Variational Bayes Filters: Unsupervised Learning of State Space Models From Raw Data}},
 url = {arXiv:1605.06432v3},
 address = {arXiv}
}


@book{Karrenberg2013,
 author = {Karrenberg, U.},
 abstract = {This is a very new concept for learning Signal Processing, not only from the physically-based scientific fundamentals, but also from the didactic perspective, based on modern results of brain research. The textbook together with the DVD form a learning system that provides investigative studies and enables the reader to interactively visualize even complex processes. The unique didactic concept is built on visualizing signals and processes on the one hand, and on graphical programming of signal processing systems on the other. The concept has been designed especially for microelectronics, computer technology and communication. The book allows to develop, modify, and optimize useful applications using DasyLab - a professional and globally supported software for metrology and control engineering. With the 3rd edition, the software is also suitable for 64 bit systems running on Windows 7. Real signals can be acquired, processed and played on the sound card of your computer. The book provides more than 200 pre-programmed signal engineering systems and design transparencies. Numerous introduction-videos, one for every chapter, and more than 250 high-quality figures come along with the learning system, as well as a visualization of all the {\dq}living{\dq} experiments and their results. With this learning system, readers can now make use of {\dq}equipment{\dq} and software. The new, 3rd edition many improvements, corrections and smaller additions, and a new chapter new chapter presenting a clear introduction to mathematical modeling of signals, processes, and systems.},
 year = {2013},
 title = {{Signals, Processes, and Systems: An Interactive Multimedia Introduction to Signal Processing}},
 address = {Berlin and New York},
 edition = {3rd ed},
 publisher = {Springer},
 isbn = {978-3-642-38052-5}
}


@inproceedings{Kasetty2008,
 author = {Kasetty, Shashwati and Stafford, Candice and Walker, Gregory P. and Wang, Xiaoyue and Keogh, Eamonn J.},
 title = {{Real-Time Classification of Streaming Sensor Data}},
 pages = {149--156},
 booktitle = {{2008 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)}},
 year = {2008}
}


@article{Keerthi2003,
 author = {Keerthi, S. S. and Lin, Chih-Jen},
 year = {2003},
 title = {{Asymptotic behaviors of support vector machines with gaussian kernel}},
 pages = {1667--1689},
 volume = {15},
 number = {7},
 journal = {{Neural Computation}}
}


@book{Keesman2011,
 author = {Keesman, Karel J.},
 year = {2011},
 title = {{System Identification}},
 address = {London},
 publisher = {Springer}
}


@incollection{Keller2012,
 author = {Keller, Fabian and M{\"u}ller, Emmanuel and B{\"o}hm, Klemens},
 title = {{HiCS: High Contrast Subspaces for Density-Based Outlier Ranking}},
 pages = {1037--1048},
 booktitle = {{2012 IEEE 28th International Conference on Data Engineering (ICDE)}},
 year = {2012}
}


@article{Kemmler2013,
 author = {Kemmler, Michael and Rodner, Erik and Wacker, Esther-Sabrina and Denzler, Joachim},
 year = {2013},
 title = {{One-class classification with Gaussian processes}},
 urldate = {pdf},
 pages = {3507--3518},
 volume = {46},
 number = {12},
 journal = {{Pattern Recognition}}
}


@inproceedings{Keogh2000,
 author = {Keogh, Eamonn J. and Pazzani, Michael J.},
 title = {{Scaling up Dynamic Time Warping for Datamining Applications}},
 pages = {285--289},
 editor = {ACM},
 booktitle = {{Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining}},
 year = {2000}
}


@article{Keogh2003,
 author = {Keogh, Eamonn J. and Kasetty, Shruti},
 year = {2003},
 title = {{On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration}},
 pages = {349--371},
 volume = {7},
 number = {4},
 journal = {{Data Mining and Knowledge Discovery}}
}


@incollection{Khan2014,
 author = {Khan, Shehroz S. and Madden, Michael G.},
 title = {{One-class classification: Taxonomy of study and review of techniques}},
 pages = {345--374},
 volume = {29}
}


@booklet{Kheng,
 author = {Kheng, Leow Wee},
 title = {{Matrix Differentiation}}
}


@article{Khomfoi2007,
 author = {Khomfoi, Surin and Tolbert, Leon M.},
 year = {2007},
 title = {{Fault Diagnosis and Reconfiguration for Multilevel Inverter Drive Using AI-Based Techniques}},
 pages = {2954--2968},
 volume = {54},
 number = {6},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@article{Kimmich2004,
 author = {Kimmich, Frank},
 abstract = {Parit{\"a}tsgleichung, LOLIMOT},
 year = {2004},
 title = {{Modellbasierte Fehlererkennung und Diagnose der Einspritzung und Verbrennung von Dieselmotoren}},
 number = {569},
 journal = {{Fortschritt-Berichte VDI Reihe 12}}
}


@article{Kimmich2005,
 author = {Kimmich, Frank and Schwarte, Anselm and Isermann, Rolf},
 year = {2005},
 title = {{Fault detection for modern Diesel engines using signal- and process model-based methods}},
 pages = {189--203},
 volume = {13},
 number = {2},
 journal = {{Control Engineering Practice}}
}


@book{Kirk2012,
 author = {Kirk, Donald E.},
 year = {2012},
 title = {{Optimal Control Theory: An Introduction}},
 address = {Mineola, New York},
 publisher = {{Dover Publications, Inc.}}
}


@article{Kitagawa1987,
 author = {Kitagawa, Genshiro},
 year = {1987},
 title = {{Non-gaussian state-space modeling of nonstationary time series}},
 pages = {1032--1041},
 volume = {82},
 number = {400},
 journal = {{Journal of the American Statistical Association}}
}


@book{Kleinbaum2010,
 author = {Kleinbaum, David G. and Klein, Mitchel},
 year = {2010},
 title = {{Logistic Regression}},
 edition = {3},
 publisher = {Springer}
}


@incollection{Klippel2011,
 author = {Klippel, Wolfgang},
 title = {{End-of-line testing}},
 isbn = {978-953-307-995-0},
 editor = {Grzechca, Waldemar},
 booktitle = {{Assembly Line - Theory and Practice}},
 year = {2011}
}


@book{Kloeden1992,
 author = {Kloeden, Peter E. and Platen, Eckhard},
 year = {1992},
 title = {{Numerical Solution of Stochastic Differential Equations}},
 address = {Berlin, Heidelberg},
 publisher = {Springer}
}


@patent{Knapp1993,
 author = {Knapp, Benjamin P. and Trenary, Robert and Walters, James T. and Allgor, Clarence B. and Bach, David T.},
 abstract = {The invention is a method and apparatus for extracting and analyzing features in real time from primary or secondary ignition waveforms, including engine probes, sampling device, and a processor that extracts from the waveform features such as peak firing height, firing line duration, firing line slope, firing line noise, post firing line duration, primary oscillations, and dwell interval duration and compares them against fixed thresholds and running averages to detect anomalies. Anomalies are reported as they occur allowing diagnosis of transient events as well as steady conditions. Waveforms with or without anomalies may be stored and retrieved as needed.},
 year = {1995},
 title = {{Method and apparatus for feature extraction from internal combustion engine ignition waveforms}},
 number = {US5387870 (A)},
 assignee = {{SPX CORP [US]}},
 nationality = {US}
}


@misc{Kneib2008,
 author = {Kneib, Thomas},
 year = {2008},
 title = {{Bayesian Regularisation Priors}}
}


@article{Knorr1997,
 author = {Knorr, Edwin M. and Ng, Raymond T.},
 year = {1997},
 title = {{A Unified Notion of Outliers: Properties and Computation}},
 journal = {{KDD}}
}


@inproceedings{Knorr1999,
 author = {Knorr, Edwin M. and Ng, Raymond T.},
 title = {{Finding Intensional Knowledge of Distance-Based Outliers}},
 pages = {211--222},
 booktitle = {{Proceedings of the 25th VLDB Conference}},
 year = {1999}
}


@article{Knorr2000,
 author = {Knorr, Edwin M. and Ng, Raymond T. and Tucakov, Vladimir},
 year = {2000},
 title = {{Distance-based Outliers: Algorithms and Applications}},
 journal = {{The VLDB Journal - The International Journal on Very Large Databases}}
}


@inproceedings{Kohavi1995,
 author = {Kohavi, Ron},
 title = {{A study of cross-validation and bootstrap for accuracy estimation and model selection}},
 pages = {1137--1145},
 booktitle = {{14th International Joint Conference on Artificial Intelligence}},
 year = {1995}
}


@book{Kohler2001,
 author = {K{\"o}hler, Eduard},
 year = {2001},
 title = {{Verbrennungsmotoren: Motormechanik, Berechnung und Auslegung es Hubkolbenmotors}},
 edition = {2}
}


@book{Kohler2005,
 author = {K{\"o}hler, Bert-Uwe},
 year = {2005},
 title = {{Konzepte der statistischen Signalverarbeitung}},
 address = {Berlin [u.a.]},
 publisher = {Springer},
 isbn = {3-540-23491-8},
 series = {{SpringerLink: Springer e-Books}}
}


@book{Kohler2012,
 author = {K{\"o}hler, Eduard and Flierl, Rudolf},
 year = {2012},
 title = {{Verbrennungsmotoren: Motormechanik, Berechnung und Auslegung es Hubkolbenmotors}},
 edition = {6}
}


@book{Kollmann2006,
 author = {Kollmann, Franz Gustav and Sch{\"o}sser, Thomas Franz and Angert, Roland},
 year = {2006},
 title = {{Praktische Maschinenakustik}},
 address = {Berlin},
 publisher = {Springer},
 isbn = {3-540-20094-0},
 series = {{VDI-Buch}}
}


@book{Korbicz2004,
 year = {2004},
 title = {{Fault Diagnosis: Models, Artificial Intelligence, Applications}},
 publisher = {Springer},
 editor = {Korbicz, J. and Koscielny, J. M. and Kowalczuk, Z. and Cholewa, W.}
}


@article{Kostyszyn2017,
 author = {Kostyszyn, Kevin Nikolai and Schmitt, Robert},
 year = {2017},
 title = {{Methode zur {\"a}hnlichkeitsbasierten SPC f{\"u}r Kleinserien}},
 pages = {221--224},
 volume = {112},
 number = {4},
 journal = {{Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}}
}


@article{Kotsiantis2007,
 author = {Kotsiantis, Sotiris B.},
 year = {2007},
 title = {{Supervised Machine Learning: A Review of Classification Techniques}},
 pages = {249--268},
 volume = {31},
 journal = {{Informatica}}
}


@book{Kotz2004,
 author = {Kotz, Samuel and Nadarajah, Saralees},
 year = {2004},
 title = {{Multivariate t Distributions and Their Applications}},
 address = {Cambridge, UK},
 publisher = {{Cambridge University Press}}
}


@book{Kotz2006,
 year = {2006},
 title = {{Encyclopedia of Statistical Sciences}},
 edition = {2},
 publisher = {Wiley},
 editor = {Kotz, Samuel and Read, Campbell B. and Balakrishnan, N. and Vidakovic, Brani}
}


@book{Kreyszig2011,
 author = {Kreyszig, Erwin and Kreyszig, Herbert and Norminton, Edward J.},
 year = {2011},
 title = {{Advanced Engineering Mathematics}},
 edition = {10}
}


@incollection{Kriegel2009,
 author = {Kriegel, Hans-Peter and Kr{\"o}ger, Peer and Schubert, Erich and Zimek, Arthur},
 title = {{Outlier detection in axis-parallel subspaces of high dimensional data}},
 urldate = {pdf},
 pages = {831--838},
 publisher = {Springer},
 editor = {Theeramunkong, T. and {et al.}},
 booktitle = {{Advances in Knowledge Discovery and Data Mining}},
 year = {2009}
}


@inproceedings{Kriegel2011,
 author = {Kriegel, Hans-Peter and etc.},
 title = {{Interpreting and Unifying Outlier Scores}},
 booktitle = {{11th SIAM International Conference on Data Mining (SDM)}},
 year = {2011}
}


@incollection{Kriegel2012,
 author = {Kriegel, Hans-Peter and Kr{\"o}ger, Peer and Schubert, Erich and Zimek, Arthur},
 title = {{Outlier Detection in Arbitrarily Oriented Subspaces}},
 pages = {379--388},
 booktitle = {{2012 IEEE 12th International Conference on Data Mining}},
 year = {2012}
}


@booklet{Krogstad2004,
 author = {Krogstad, Harald E.},
 year = {2004},
 title = {{How to use the MATLAB FFT2-routines}}
}


@book{Kruschke2015,
 author = {Kruschke, John},
 year = {2015},
 title = {{Doing Bayesian Data Analysis}},
 edition = {2},
 publisher = {Elsevier}
}


@phdthesis{Ku2006,
 author = {Ku{\ss}, Malte},
 year = {2006},
 title = {{Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning}},
 address = {Darmstadt},
 publisher = {Fachbereich Informatik},
 school = {{Technische Universit{\"a}t Darmstadt}}
}


@inproceedings{Kubat1997,
 author = {Kubat, Miroslav and Matwin, Stan},
 title = {{Addressing the curse of imbalanced training sets: one-sided selection}},
 pages = {179--186},
 booktitle = {{Proc. 14th International Conference on Machine Learning}},
 year = {1997}
}


@electronic{Kucukelbir2016,
 author = {Kucukelbir, Alp and Tran, Dustin and Ranganath, Rajesh and Gelman, Andrew and Blei, David M.},
 year = {2016},
 title = {{Automatic Differentiation Variational Inference}},
 url = {https://arxiv.org/pdf/1603.00788.pdf},
 address = {arXiv:1603.00788v1}
}


@book{Kuhn2013,
 author = {Kuhn, Max and Johnson, Kjell},
 year = {2013},
 title = {{Applied Predictive Modeling}},
 address = {New York},
 publisher = {{Springer Science+Business Media}}
}


@misc{Kumar2015,
 author = {Kumar, Vipin},
 year = {2015},
 title = {{Identifying Rare Class in Absence of True Labels}}
}


@article{Kwon2005,
 author = {Kwon, Heesung. and Nasrabadi, Nasser M.},
 year = {2005},
 title = {{Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery}},
 pages = {388--397},
 volume = {43},
 number = {2},
 journal = {{IEEE Transactions on Geoscience and Remote Sensing}}
}


@phdthesis{Laitl2012,
 author = {Laitl, Matej},
 year = {2012}
}


@article{Lambert2017,
 author = {Lambert, Simon M. and Armstrong, Matthew and Attidekou, Pierrot S. and Christensen, Paul A. and Widmer, James D. and Wang, Chen and Scott, Keith},
 year = {2017},
 title = {{Rapid Nondestructive-Testing Technique for In-Line Quality Control of Li-Ion Batteries}},
 pages = {4017--4026},
 volume = {64},
 number = {5},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@inproceedings{Lanckriet2002,
 author = {Lanckriet, Gert R. G. and Ghaoui, Laurent El and Jordan, Michael I.},
 title = {{Robust Novelty Detection with Single-Class MPM}},
 booktitle = {{Advances in Neural Information Processsing Systems 15}},
 year = {2002}
}


@book{Landau2011,
 author = {Landau, Ioan Dor{\'e} and Lozano, Rogelio and M'Saad, Mohammed and Karimi, Alireza},
 year = {2011},
 title = {{Adaptive Control: Algorithms, Analysis and Applications}},
 address = {London},
 edition = {2},
 publisher = {Springer-Verlag}
}


@phdthesis{Landsmann2014,
 author = {Landsmann, Peter},
 year = {2014},
 title = {{Sensorless Control of Synchronous Machines by Linear Approximation of Oversampled Current}},
 address = {M{\"u}nchen},
 publisher = {Fakult{\"a}t f{\"u}r Elektrotechnik und Informationstechnik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{Lange1989,
 author = {Lange, Kenneth L. and Little, Roderick J. A. and Taylor, Jeremy M. G.},
 year = {1989},
 title = {{Robust Statistical Modeling Using the t-Distribution}},
 pages = {881--896},
 volume = {84},
 number = {408},
 journal = {{Journal of the American Statistical Association}}
}


@article{Laskov2004,
 author = {Laskov, Pavel and Sch{\"a}fer, Christin and Kotenko, Igor},
 year = {2004},
 title = {{Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines}},
 pages = {228--236},
 volume = {27},
 number = {4},
 journal = {{Praxis der Informationsverarbeitung und Kommunikation}}
}


@misc{Lauritzen2009,
 author = {Lauritzen, Steffen},
 year = {2009},
 title = {{Further Statistical Inference: BS2}},
 address = {University of Oxford}
}


@booklet{Lauritzen2009a,
 author = {Lauritzen, Steffen},
 year = {23.02.2009},
 title = {{Wishart and Inverse Wishart Distributions}}
}


@incollection{Lazarevic2005,
 author = {Lazarevic, Aleksandar and Kumar, Vipin},
 title = {{Feature Bagging for Outlier Detection}},
 pages = {157--166},
 booktitle = {{Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining}},
 year = {2005}
}


@book{Lee1999,
 abstract = {In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.},
 year = {1999},
 title = {{Computer-aided Maintenance: Methodologies and Practices}},
 address = {Boston, MA},
 publisher = {{Springer US}},
 editor = {Lee, Jay and Wang, Ben}
}


@book{Lee2007,
 author = {Lee, John A. and Verleysen, Michel},
 year = {2007},
 title = {{Nonlinear Dimensionality Reduction}},
 publisher = {Springer},
 isbn = {978-0-387-39350-6}
}


@article{Lee2007b,
 author = {Lee, Kiyoung and Kim, Dae-Won and Lee, Kwang H. and Lee, Doheon},
 abstract = {The purpose of data description is to give a compact description of the target data that represents most of its characteristics. In a support vector data description (SVDD), the compact description of target data is given in a hyperspherical model, which is determined by a small portion of data called support vectors. Despite the usefulness of the conventional SVDD, however, it may not identify the optimal solution of target description especially when the support vectors do not have the overall characteristics of the target data. To address the issue in SVDD methodology, we propose a new SVDD by introducing new distance measurements based on the notion of a relative density degree for each data point in order to reflect the distribution of a given data set. Moreover, for a real application, we extend the proposed method for the protein localization prediction problem which is a multiclass and multilabel problem. Experiments with various real data sets show promising results.},
 year = {2007},
 title = {{Density-Induced Support Vector Data Description}},
 pages = {284--289},
 volume = {18},
 number = {1},
 journal = {{IEEE transactions on neural networks}}
}


@incollection{Leitner2016,
 author = {Leitner, Lukas and Lagrange, Antoine and Endisch, Christian},
 title = {{End-of-line fault detection for combustion engines using one-class classification}},
 pages = {207--213},
 booktitle = {{IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016}},
 year = {2016}
}


@inproceedings{Leitner2018,
 author = {Leitner, Lukas and Endisch, Christian},
 title = {{Robust Stochastic Process Models and Parameter Estimation for Industrial End-of-Line-Testing}},
 booktitle = {{Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)}}
}


@inproceedings{Leitner2018b,
 author = {Leitner, Lukas and Endisch, Christian},
 title = {{Robust stochastic process models and parameter estimation for industrial end-of-line-testing}},
 pages = {1520--1525},
 booktitle = {{Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT), to be published}},
 year = {2018}
}


@article{Leonhardt1996,
 author = {Leonhardt, Steffen},
 abstract = {Signalbasierte Merkmalsextraktion, Parametersch{\"a}tzung mit MLP-Klassifikator und Nearest Neighbour Klassifikator},
 year = {1996},
 title = {{Modellgest{\"u}tzte Fehlererkennung mit neuronalen Netzen -- {\"U}berwachung von Radaufh{\"a}ngungen und Diesel-Einspritzanlagen}},
 number = {295},
 journal = {{Fortschritt-Berichte VDI Reihe 12}}
}


@article{Li2003,
 author = {Li, Xiaoli and Liu, Bing},
 year = {2003},
 title = {{Learning to classify texts using positive and unlabeled data}},
 journal = {{IJCAI}}
}


@incollection{Li2009,
 author = {Li, Xiao-Li and Yu, Philip S. and Liu, Bing and Ng, See-Kiong},
 title = {{Positive Unlabeled Learning for Data Stream Classification}},
 pages = {257--268},
 booktitle = {{2009 SIAM International Conference on Data Mining}},
 year = {2009}
}


@article{Li2011,
 author = {Li, Wenkai and Guo, Qinghua and Elkan, Charles},
 year = {2011},
 title = {{A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data}},
 pages = {717--725},
 volume = {49},
 number = {2},
 journal = {{IEEE Transactions on Geoscience and Remote Sensing}}
}


@electronic{LibertyInstrumentsInc.,
 title = {{Reflecting on Echoes and the Cepstrum: A Look at Quefrency Alanysis and Hearing}}
}


@inproceedings{Lin2003,
 author = {Lin, Jessica and Keogh, Eamonn J. and Lonardi, Stefano and Chiu, Bill},
 title = {{A Symbolic Representation of Time Series, with Implications for Streaming Algorithms}},
 pages = {2--11},
 booktitle = {{Proceedings of the 8th ACM~SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery}},
 year = {2003}
}


@article{Lin2010,
 author = {Lin, Tsung-I},
 year = {2010},
 title = {{Robust mixture modeling using multivariate skew t distributions}},
 pages = {343--356},
 volume = {20},
 number = {3},
 journal = {{Statistics and Computing}}
}


@article{Lin2012,
 author = {Lin, Ju-guang and Xu, Hua and Ren, Yong-qiang and Zhu, Zhen-dong},
 year = {2012},
 title = {{Research on key technologies of the engine cold test}},
 journal = {{Machinery Design {\&} Manufacture}}
}


@book{Linden2002,
 year = {2002},
 title = {{Handbook of Batteries}},
 address = {New York},
 edition = {3},
 publisher = {McGraw-Hill},
 editor = {Linden, David and Reddy, Thomas B.}
}


@electronic{LinkopingsUniversitet,
 author = {{Link{\"o}pings Universitet}},
 title = {{Software packages from Vehicular Systems}},
 url = {http://www.vehicular.isy.liu.se/en/Software/}
}


@incollection{Liu2003,
 author = {Liu, Bing and Dai, Yang and {Wee Sun Lee, Xiaoli Li} and Yu, Philip S.},
 title = {{Building Text Classifiers Using Positive and Unlabeled Examples}},
 booktitle = {{Proceedings of the Third IEEE International Conference on Data Mining}},
 year = {2003}
}


@inproceedings{Liu2008,
 author = {Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
 title = {{Isolation Forest}},
 pages = {413--422},
 booktitle = {{Eighth IEEE~International Conference on Data Mining}},
 year = {2008}
}


@article{Liu2009,
 author = {Liu, Yi-Hung and Lin, Szu-Hsien and Hsueh, Yi-Ling and Lee, Ming-Jiu},
 year = {2009},
 title = {{Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble}},
 pages = {1978--1998},
 volume = {36},
 number = {2},
 journal = {{Expert Systems with Applications}}
}


@article{Liu2011,
 author = {Liu, Yi-Hung and Liu, Yan-Chen and Chen, Yen-Zen},
 year = {2011},
 title = {{High-speed inline defect detection for TFT-LCD array process using a novel support vector data description}},
 pages = {6222--6231},
 volume = {38},
 number = {5},
 journal = {{Expert Systems with Applications}}
}


@article{Liu2012,
 author = {Liu, Bo and Xiao, Yanshan and Cao, Longbing and Hao, Zhifeng and Deng, Feiqi},
 year = {2013},
 title = {{SVDD-based outlier detection on uncertain data}},
 pages = {597--618},
 volume = {34},
 number = {3},
 journal = {{Knowledge and Information Systems}}
}


@article{Ljung1993,
 author = {Ljung, Greta M.},
 year = {1993},
 title = {{On Outlier Detection in Time Series}},
 pages = {559--567},
 volume = {55},
 number = {2},
 journal = {{Journal of the Royal Statistical Society. Series B (Methodological)}}
}


@book{Ljung1999,
 author = {Ljung, Lennart},
 year = {1999},
 title = {{System Identification: Theory for the User}},
 address = {Upper Saddle River, NJ},
 edition = {2},
 publisher = {{Prentice Hall PTR}}
}


@article{Lotte2007,
 author = {Lotte, F. and Congedo, M. and L{\'e}cuyer, A. and Lamarche, F. and Arnaldi, B.},
 abstract = {Computer Science/Artificial Intelligence},
 year = {2007},
 title = {{A Review of Classification Algorithms for EEG-based Brain--Computer Interfaces}},
 pages = {R1-R13},
 volume = {4},
 number = {2},
 journal = {{Journal of neural engineering}}
}


@book{Ludwig2000,
 author = {Ludwig, Christof},
 abstract = {Multi-Layer-Perceptron Netze, Parit{\"a}tsgleichung mit Hammersteinmodelle},
 year = {2000},
 title = {{Modellgest{\"u}tzte Fehlererkennung f{\"u}r Turboaufladung und Einspritzung von Dieselmotoren}},
 address = {Berlin},
 publisher = {{Logos Verlag}},
 isbn = {3-89722-364-3}
}


@book{Lutz2010,
 author = {Lutz, Holger and Wendt, Wolfgang},
 year = {2010},
 title = {{Taschenbuch der Regelungstechnik}},
 address = {Frankfurt am Main},
 edition = {8},
 publisher = {{Wissenschaftlicher Verlag Harri Deutsch}}
}


@inproceedings{Ma2003,
 author = {Ma, Junshui and Perkins, Simon},
 title = {{Time-series novelty detection using one-class support vector machines}},
 pages = {1741--1745},
 volume = {3},
 booktitle = {{Proceedings of the International Joint Conference on Neural Networks}},
 year = {2003}
}


@book{Ma2014,
 year = {2014},
 title = {{Support Vector Machines Applications}},
 editor = {Ma, Yunqian and {Guo Guodong}}
}


@incollection{Mack2011,
 author = {Mack, Benjamin and Waske, Bj{\"o}rn},
 title = {{Optimizing support vector data description by automatically generating outliers}},
 booktitle = {{roceedings of the EARSeL 7th SIG-Imaging Spectroscopy Workshop}},
 year = {2011}
}


@booklet{MacKay1997,
 author = {MacKay, David J. C.},
 year = {1997},
 title = {{Ensemble Learning for Hidden Markov Models}}
}


@article{Mahadevan2009,
 author = {Mahadevan, Sankar and Shah, Sirish L.},
 year = {2009},
 title = {{Fault detection and diagnosis in process data using one-class support vector machines}},
 urldate = {pdf},
 pages = {1627--1639},
 volume = {19},
 number = {10},
 journal = {{Journal of Process Control}}
}


@phdthesis{Mahlisch2009,
 author = {M{\"a}hlisch, Mirko},
 year = {2009},
 title = {{Filtersynthese zur simultanen Minimierung von Existenz-, Assoziations- und Zustandsunsicherheiten in der  Fahrzeugumfelderfassung mit heterogenen Sensordaten}},
 school = {{Universit{\"a}t Ulm}}
}


@misc{Manresa,
 author = {Manresa, Jos{\'e} Biurrun},
 title = {{The Wigner-Ville Distribution}},
 series = {{Time-Frequency Analysis, Adaptive Filtering and Source Separation}}
}


@article{Mao2014,
 author = {Mao, Chao and Jiang, Yu and Wang, Dezhi and Chen, Xun and Tao, Junyong},
 year = {2014},
 title = {{Modeling and Simulation of Non-Stationary Vehicle Vibration Signals Based on Hilbert Spectrum}},
 journal = {{Mechanical Systems and Signal Processing}}
}


@misc{Marchini2013,
 author = {Marchini, Jonathan},
 year = {2013},
 title = {{Foundations of Statistical Inference: BS2a}}
}


@article{Markou2003,
 author = {Markou, Markos and Singh, Sameer},
 year = {2003},
 title = {{Novelty detection: a review - part 1: statistical approaches}},
 pages = {2481--2497},
 volume = {83},
 number = {12},
 journal = {{Signal Processing}}
}


@article{Markou2003b,
 author = {Markou, Markos and Singh, Sameer},
 year = {2003},
 title = {{Novelty detection: a review - part 2: neural network based approaches}},
 pages = {2499--2521},
 volume = {83},
 number = {12},
 journal = {{Signal Processing}}
}


@article{Martin1985,
 author = {Martin, Wolfgang and Flandrin, Patrick},
 year = {1985},
 title = {{Wigner-Ville Spectral Analysis of Nonstationary Processes}},
 pages = {1461--1470},
 volume = {33},
 number = {6},
 journal = {{IEEE Transactions on Acoustics, Speech, and Signal Processing}}
}


@article{Martin1987,
 author = {Martin, R. Douglas and Raftery, Adrian E.},
 year = {1987},
 title = {{Comment: Robustness, Computation, and Non-Euclidean Models}},
 pages = {1044--1050},
 volume = {82},
 number = {400},
 journal = {{Journal of the American Statistical Association}}
}


@phdthesis{Martin2016,
 author = {Martin, Jan},
 year = {2016},
 title = {{Parametrierung und Bewertung eines Fahrwiderstandssch{\"a}tzers durch statistische Messdatenanalyse}},
 address = {Ingolstadt},
 school = {{Technische Hochschule Ingolstadt}}
}


@book{Martyr2012,
 author = {Martyr, Anthony. J. and Plint, M. A.},
 year = {2012},
 title = {{Engine Testing: The Design, Building, Modification and Use of Powertrain Test Facilities}},
 address = {Amsterdam},
 edition = {4},
 publisher = {Elsevier}
}


@incollection{Masud2011,
 author = {Masud, M. and Al-Khateeb, T. and {Khan L.} and Aggarwal, Charu C. and {Gao J.} and {Han J.}},
 title = {{Detecting Recurring and Novel Classes in Concept-Drifting Data Streams}},
 booktitle = {{ICDM Conference 2011}},
 year = {2011}
}


@article{Masud2012,
 author = {Masud, M. and Chen, Q. and Khan, L. and Aggarwal, Charu C. and Gao, J. and Han, J. and Srivastava, A. and Oza, N.},
 year = {2012},
 title = {{Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams}},
 journal = {{IEEE Transactions on Knowledge and Data Engineering}}
}


@book{May2006,
 author = {May, Gary S. and Spanos, Costas J.},
 year = {2006},
 title = {{Fundamentals of Semiconductor Manufacturing and Process Control}},
 publisher = {{John Wiley {\&} Sons}}
}


@unpublished{Mazzoni,
 author = {Mazzoni, Thomas},
 title = {{Zeitreihenanalyse: Einstieg und Aufgaben}}
}


@book{McElreath2015,
 author = {McElreath, Richard},
 year = {2016},
 title = {{Statistical Rethinking: A Bayesian Course with Examples in R and Stan}},
 address = {Boca Raton},
 publisher = {{Chapman {\&} Hall / CRC}}
}


@article{McElroy2013,
 author = {McElroy, Tucker and Wildi, Marc},
 year = {2013},
 title = {{Multi-step-ahead estimation of time series models}},
 pages = {378--394},
 volume = {29},
 number = {3},
 journal = {{International Journal of Forecasting}}
}


@booklet{McGee1985,
 author = {McGee, Leonard A. and Schmidt, Stanley F.},
 year = {1985},
 title = {{Discovery of the Kalman filter as a practical tool for aerospace and industry}}
}


@article{McGoff2015,
 author = {McGoff, Kevin and Mukherjee, Sayan and Pillai, Natesh},
 year = {2015},
 title = {{Statistical inference for dynamical systems: A review}},
 pages = {209--252},
 volume = {9},
 journal = {{Statistics Surveys}}
}


@book{McLachlan2008,
 author = {McLachlan, Geoffrey J. and Krishnan, Thriyambakam},
 year = {2008},
 title = {{The EM~Algorithm and Extensions}},
 address = {Hoboken, N.J.},
 edition = {2},
 publisher = {Wiley-Interscience}
}


@misc{Meeds,
 author = {Meeds, Edward and Osindero, Simon},
 title = {{An Alternative Infinite Mixture Of Gaussian Process Experts}}
}


@article{Mehra1970,
 author = {Mehra, Raman K.},
 year = {1970},
 title = {{On the Identification of Variances and Adaptive Kalman Filtering}},
 pages = {175--184},
 volume = {15},
 number = {2},
 journal = {{IEEE Transactions on Automatic Control}}
}


@article{Mehra1971,
 author = {Mehra, Raman K. and Peschon, J.},
 year = {1971},
 title = {{An innovations approach to fault detection and diagnosis in dynamic systems}},
 pages = {637--640},
 volume = {7},
 number = {5},
 journal = {{Automatica}}
}


@article{Mehra1972,
 author = {Mehra, Raman K.},
 year = {1972},
 title = {{Approaches to adaptive filtering}},
 pages = {693--698},
 volume = {17},
 number = {5},
 journal = {{IEEE Transactions on Automatic Control}}
}


@book{Mehra1976,
 year = {1976},
 title = {{System Identification: Advances and Case Studies}},
 address = {New York, USA},
 publisher = {{Academic Press}},
 editor = {Mehra, Raman K. and Lainiotis, Dimitri G.}
}


@phdthesis{Meier1992,
 author = {Meier, Benedikt},
 year = {1992},
 title = {{Der Endfunktionstest zur Qualit{\"a}ts- und Funktionspr{\"u}fung bei der Montage von Verbrennungsmotoren}},
 address = {Hannover},
 publisher = {Fakult{\"a}t f{\"u}r Maschinenwesen},
 school = {{Universit{\"a}t Hannover}}
}


@article{Meinhold1989,
 author = {Meinhold, Richard J. and Singpurwalla, Nozer D.},
 year = {1989},
 title = {{Robustification of Kalman Filter Models}},
 pages = {479--486},
 volume = {84},
 number = {406},
 journal = {{Journal of the American Statistical Association}}
}


@phdthesis{Menzel2007,
 author = {Menzel, Lars},
 year = {2007},
 title = {{M{\"o}glichkeiten der Pr{\"u}fung von Verbrennungsmotoren -- Kalttest, Hottest und Leistungsbremse}},
 publisher = {Institut f{\"u}r Produktionstechnik},
 school = {{Fachhochschule Braunschweig/Wolfenb{\"u}ttel}}
}


@book{Merker2012,
 author = {Merker, G{\"u}nter P. and Schwarz, Christian and Teichmann, R{\"u}diger},
 year = {2012},
 title = {{Grundlagen Verbrennungsmotoren: Funktionsweise, Simulation, Messtechnik}},
 edition = {6}
}


@book{Merker2014,
 author = {Merker, G{\"u}nter P. and Teichmann, R{\"u}diger},
 year = {2014},
 title = {{Grundlagen Verbrennungsmotoren: Funktionsweise, Simulation, Messtechnik}},
 edition = {7}
}


@book{Mertins2013,
 author = {Mertins, Alfred},
 year = {2013},
 title = {{Signaltheorie: Grundlagen der Signalbeschreibung, Filterb{\"a}nke, Wavelets, Zeit-Frequenz-Analyse, Parameter- und Signalsch{\"a}tzung}},
 address = {Wiesbaden},
 edition = {3., {\"u}berarb. und erweiterte Aufl},
 publisher = {{Springer Vieweg}},
 isbn = {978-3-8348-1394-7},
 series = {{SpringerLink : B{\"u}cher}}
}


@phdthesis{Merwe2004,
 author = {{van der Merwe}, Rudolph},
 year = {2004},
 title = {{Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models}},
 school = {{University of Stellenbosch}}
}


@article{Metz1978,
 author = {Metz, Charles E.},
 year = {1978},
 title = {{Basic principles of ROC analysis}},
 pages = {283--298},
 volume = {8},
 number = {4},
 journal = {{Seminars in Nuclear Medicine}}
}


@booklet{Meurant2008,
 author = {Meurant, G{\'e}rard},
 year = {2008},
 title = {{Tridiagonal Matrices}}
}


@phdthesis{Meyer2014,
 author = {Meyer, Michael Josef},
 year = {2014},
 title = {{Interpretation und Optimierung mechanischer Pr{\"u}fmerkmale im Kalttest}},
 address = {Ingolstadt, Deutschland},
 publisher = {Fakult{\"a}t Maschinenbau},
 school = {{Technische Hochschule Ingolstadt}}
}


@article{Mianji2011,
 author = {Mianji, Fereidoun A. and Zhang, Ye},
 year = {2011},
 title = {{Robust Hyperspectral Classification Using Relevance Vector Machine}},
 pages = {2100--2112},
 volume = {49},
 number = {6},
 journal = {{IEEE Transactions on Geoscience and Remote Sensing}}
}


@booklet{Minka2000,
 author = {Minka, Thomas P.},
 year = {28.06.2000},
 title = {{Variational Bayes for mixture models: reversing EM}}
}


@inproceedings{Minka2001,
 author = {Minka, Thomas P.},
 title = {{Expectation propagation for approximate Bayesian inference}},
 pages = {362--369},
 publisher = {{Morgan Kaufmann Publishers Inc.}},
 booktitle = {{Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence}},
 year = {2001}
}


@phdthesis{Minka2001c,
 author = {Minka, Thomas P.},
 year = {2001},
 title = {{A Family of Algorithms for Approximate Bayesian Inference}},
 school = {{Massachusetts Institute of Technology}}
}


@book{Mitsa2010,
 author = {Mitsa, Theophano},
 year = {2010},
 title = {{Temporal Data Mining}},
 publisher = {{Chapman {\&} Hall /~CRC}}
}


@article{Mohamed1999,
 author = {Mohamed, A. H. and Schwarz, K. P.},
 year = {1999},
 title = {{Adaptive Kalman filtering for INS/GPS}},
 pages = {193--203},
 volume = {73},
 number = {4},
 journal = {{Journal of Geodesy}}
}


@book{Mohler,
 author = {Mohler, Cleve},
 title = {{Numerical Computing with MATLAB}}
}


@book{Mohri2012,
 author = {Mohri, Mehryar and Rostamizadeh, Afshin and Talwalkar, Ameet},
 year = {2012},
 title = {{Foundations of Machine Learning}},
 address = {Cambridge, Massachusetts},
 publisher = {{The MIT Press}}
}


@book{Montgomery,
 author = {Montgomery, Douglas C.},
 title = {{Design and Analysis of Experiments}},
 edition = {8},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@book{Montgomery2009,
 author = {Montgomery, Douglas C.},
 year = {2009},
 title = {{Introduction to Statistical Quality Control}},
 address = {New York},
 edition = {6},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@booklet{Moser2016,
 author = {Moser, Stefan M.},
 year = {2016},
 title = {{How to typeset equations in Latex}}
}


@inproceedings{Moya1993,
 author = {Moya, Mary M. and Koch, Mark W. and Hostetler, Larry D.},
 title = {{One-class classifier networks for target recognition applications}},
 pages = {797--801},
 volume = {3},
 booktitle = {{World Congress on Neural Networks}},
 year = {1993}
}


@article{Moya1996,
 author = {Moya, Mary M. and Hush, Don R.},
 year = {1996},
 title = {{Network constraints and multi-objective optimization for one-class classification}},
 pages = {463--474},
 volume = {9},
 number = {3},
 journal = {{Neural Networks}}
}


@article{Muirhead1986,
 author = {Muirhead, Colin R.},
 year = {1986},
 title = {{Distinguishing outlier types in time series}},
 pages = {39--47},
 volume = {48},
 number = {1},
 journal = {{Journal of the Royal Statistical Society. Series B (Methodological)}}
}


@incollection{Muller2012,
 author = {M{\"u}ller, Emmanuel and Assent, Ira and Iglesias, Patricia and M{\"u}lle, Yvonne and B{\"o}hm, Klemens},
 title = {{Outlier Ranking via Subspace Analysis in Multiple Views of the Data}},
 pages = {529--538},
 booktitle = {{IEEE 12th International Conference on Data Mining (ICDM)}},
 year = {2012}
}


@phdthesis{Murphy2002,
 author = {Murphy, Kevin Patrick},
 year = {2002},
 title = {{Dynamic Bayesian Networks: Representation, Inference and Learning}},
 address = {Berkely, USA},
 school = {{University of California}}
}


@book{Murphy2013,
 author = {Murphy, Kevin Patrick},
 year = {2013},
 title = {{Machine Learning: a Probabilistic Perspective}},
 address = {Cambridge, Massachusetts and London, England},
 edition = {1},
 publisher = {{The MIT Press}}
}


@book{Murray1994,
 author = {Murray, Richard M. and Li, Zexiang and Sastry, S. Shankar},
 year = {1994},
 title = {{A Mathematical Introduction to Robotic Manipulation}},
 publisher = {{CRC Press}}
}


@article{Mustafa2016,
 author = {Mustafa, Mohammed Obaid and Varagnolo, Damiano and Nikolakopoulos, George and Gustafsson, Thomas},
 year = {2016},
 title = {{Detecting broken rotor bars in induction motors with model-based support vectorclassifiers}},
 pages = {15--23},
 volume = {52},
 journal = {{Control Engineering Practice}}
}


@booklet{MVTecSoftwareGmbH,
 author = {{MVTec Software GmbH}},
 title = {{Halcon Solution Guide}}
}


@article{Nanni2006,
 author = {Nanni, Loris},
 year = {2006},
 title = {{Experimental comparison of one-class classifiers for online signature verification}},
 pages = {869--873},
 volume = {69},
 number = {7},
 journal = {{Neurocomputing}}
}


@book{Nayak,
 author = {Nayak, Amol},
 title = {{Instant MongoDB}}
}


@incollection{Neal1998,
 author = {Neal, Radford M. and Hinton, Geoffrey E.},
 title = {{A View of the EM~Algorithm That Justifies Incremental, Sparse, and Other Variants}},
 pages = {355--368},
 publisher = {{Springer Netherlands}},
 editor = {Jordan, Michael I.},
 booktitle = {{Learning in Graphical Models}},
 year = {1998}
}


@phdthesis{Nelson2000,
 author = {Nelson, Alex Tremain},
 year = {2000},
 title = {{Nonlinear estimation and modeling of noisy timeseries by dual Kalman filtering methods}},
 address = {Portland, Oregon},
 publisher = {Oregon Graduate Institute of Science and Technology},
 school = {{Oregon Health {\&} Science University}}
}


@phdthesis{Nguyen2002,
 author = {Nguyen, Phong Dien},
 year = {2002},
 title = {{Beitrag zur Diagnostik der Verzahnungen in Getrieben mittels Zeit-Frequenz-Analyse}},
 publisher = {Institut f{\"u}r Mechanik},
 school = {{Technische Universit{\"a}t Chemnitz}}
}


@article{Nicosia2017,
 author = {Nicosia, Aur{\'e}lien and Duchesne, Thierry and Rivest, Louis-Paul and Fortin, Daniel},
 year = {2017},
 title = {{A general hidden state random walk model for animal movement}},
 pages = {76--95},
 number = {105},
 journal = {{ComputationalStatisticsandDataAnalysis}}
}


@book{Nievergelt1999,
 author = {Nievergelt, Yves},
 year = {1999},
 title = {{Wavelets Made Easy}},
 address = {Boston},
 publisher = {Birkh{\"a}user},
 isbn = {0-8176-4061-4}
}


@inproceedings{Nikolaev2005,
 author = {Nikolaev, Nikolay and Tino, Peter},
 title = {{Sequential Relevance Vector Machine Learning from Time Series}},
 booktitle = {{Proceedings of International Joint Conference on Neural Networks}},
 year = {2005}
}


@article{Ninke2004,
 author = {Ninke, Joachim},
 year = {2004},
 title = {{Cold Test Technique in the Intake and Exhaust of an Engine}},
 volume = {12},
 journal = {{Measurement {\&} Control Technology}}
}


@phdthesis{Ninke2005,
 author = {Ninke, Joachim},
 abstract = {Ninke:

Ist bei Givaudan (Head of a global network of manufacturing engineering departments)

War bei W{\"a}rtsil{\"a} (Head of a global network of manufacturing engineering / manufacturing technology departments located in China, Korea, Switzerland, Netherlands and Finland)

ThyssenKrupp (designing and building of production plants and testing plants with the respective mechanical and chemical equipment inside)

DaimlerChrysler (Project Manager Diesel Engine Assembly {\&} Testing)},
 year = {2005},
 title = {{Cold Test Technology for Combustion Engines}},
 address = {Nanjing},
 school = {{Southeast University}}
}


@article{Ninness2010,
 author = {Ninness, Brett and Henriksen, Soren},
 year = {2010},
 title = {{Bayesian system identification via Markov chain Monte Carlo techniques}},
 pages = {40--51},
 volume = {46},
 number = {1},
 journal = {{Automatica}}
}


@electronic{Nist2012,
 author = {{National Institute of Standards and Technology}},
 year = {2012},
 title = {{NIST/SEMATECH e-Handbook of Statistical Methods}},
 url = {http://www.itl.nist.gov/div898/handbook/},
 urldate = {29.03.2018}
}


@book{Nivedita2012,
 author = {Nivedita, Majumdar and Swapnonil, Banerjee},
 year = {2012},
 title = {{MATLAB Graphics and Data Visualization Cookbook}},
 isbn = {978-1-84969-316-5}
}


@book{Nocedal2006,
 author = {Nocedal, Jorge and Wright, Stephen J.},
 abstract = {'Numerical Optimization' presents a comprehensive description of the effective methods in continuous optimization. The book includes chapters on nonlinear interior methods {\&} derivative-free methods for optimization. It is useful for graduate students, researchers and practitioners.},
 year = {2006},
 title = {{Numerical Optimization}},
 address = {New York},
 edition = {2},
 publisher = {Springer}
}


@article{Nurminen2015,
 author = {Nurminen, Henri and Ardeshiri, Tohid and Pich{\'e}, Robert and Gustafsson, Fredrik},
 year = {2015},
 title = {{Robust inference for state-space models with skewed measurement noise}},
 pages = {1898--1902},
 volume = {22},
 number = {11},
 journal = {{IEEE~Signal Processing Letters}}
}


@electronic{Nurminen2016,
 author = {Nurminen, Henri and Ardeshiri, Tohid and Pich{\'e}, Robert and Gustafsson, Fredrik},
 year = {2016},
 title = {{Skew-t Filter and Smoother with Improved Covariance Matrix Approximation}},
 url = {arXiv:1608.07435v1},
 address = {arXiv}
}


@phdthesis{Nurminen2017,
 author = {Nurminen, Henri},
 year = {2017},
 title = {{Estimation Algorithms for Non-Gaussian State-Space Models with Application to Positioning}},
 address = {Tampere},
 school = {{Tampereen teknillinen yliopisto - Tampere University of Technology}}
}


@booklet{Nydick2012,
 author = {Nydick, Steven W.},
 year = {25.05.2012},
 title = {{The Wishart and Inverse Wishart Distributions}}
}


@article{Odelson2006,
 author = {Odelson, Brian J. and Rajamani, Murali R. and Rawlings, James B.},
 year = {2006},
 title = {{A new autocovariance least-squares method for estimating noise covariances}},
 pages = {303--308},
 volume = {42},
 number = {2},
 journal = {{Automatica}}
}


@article{Oliphant2007,
 author = {Oliphant, Travis E.},
 year = {2007},
 title = {{Python for Scientific Computing}},
 pages = {10--20},
 volume = {9},
 number = {3},
 journal = {{Computing in Science {\&} Engineering}}
}


@article{Orend2009,
 author = {Orend, Bernd and Meyer, Ingo},
 year = {2009},
 title = {{Schadensfr{\"u}herkennung mittels K{\"o}rperschall}},
 pages = {386--391},
 volume = {70},
 number = {5},
 journal = {{MTZ-Motortechnische Zeitschrift}}
}


@booklet{Orlande,
 author = {Orlande, H. R. B.},
 title = {{Kalman and Particle filters}}
}


@article{Ostwald2014,
 author = {Ostwald, Dirk and Kirilina, Evgeniya and Starke, Ludger and Blankenburg, Felix},
 year = {2014},
 title = {{A tutorial on variational Bayes for latent linear stochastic time-series models}},
 pages = {1--19},
 volume = {60},
 journal = {{Journal of Mathematical Psychology}}
}


@book{Papageorgiou2012,
 author = {Papageorgiou, Markos and Leibold, Marion and Buss, Martin},
 year = {2012},
 title = {{Optimierung: Statistische, dynamische, stochastische Verfahren f{\"u}r die Anwendung}}
}


@book{Papoulis1991,
 author = {Papoulis, Athanasios},
 year = {1991},
 title = {{Probability, Random Variables, and Stochastic Processes}},
 address = {New York},
 edition = {3},
 publisher = {{McGraw-Hill, Inc.}}
}


@incollection{Pauwels2011,
 author = {Pauwels, Eric J. and Ambekar, Onkar},
 title = {{One Class Classification for Anomaly Detection: Support Vector Data Description Revisited}},
 pages = {25--39},
 publisher = {Springer},
 booktitle = {{Advances in Data Mining. Applications and Theoretical Aspects}},
 year = {2011}
}


@booklet{PCB99,
 title = {{PCB 4/99, General operating guide for use with piezoelectric ICP accelerometers: Firmenschrift}}
}


@article{Pearson2002,
 author = {Pearson, Ronald K.},
 year = {2002},
 title = {{Outliers in Process Modeling and Identification}},
 pages = {55--63},
 volume = {10},
 number = {1},
 journal = {{IEEE Transactions on Control Systems Technology}}
}


@article{Peng2004,
 author = {Peng, Z. K. and Chu, F. L.},
 year = {2004},
 title = {{Application of the Wavelet Transform in Machine Condition Monitoring and Fault Diagnostics: a Review with Bibliography}},
 pages = {199--221},
 volume = {18},
 number = {2},
 journal = {{Mechanical Systems and Signal Processing}}
}


@booklet{Petersen2012,
 author = {Petersen, Kaare Brandt and Pedersen, Michael Syskind},
 year = {2012},
 title = {{The Matrix Cookbook}}
}


@book{Petris2009,
 author = {Petris, Giovanni and Petrone, Sonia and Campagnoli, Patrizia},
 year = {2009},
 title = {{Dynamic Linear Models with R}},
 address = {Dordrecht Heidelberg London New York},
 urldate = {PDF},
 publisher = {Springer}
}


@article{Pham2005,
 author = {Pham, D. T. and Afify, A. A.},
 year = {2005},
 title = {{Machine-learning techniques and their applications in manufacturing}},
 pages = {395--412},
 volume = {219},
 number = {5},
 journal = {{Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture}}
}


@incollection{Phung2009,
 author = {Phung, Son Lam and Bouzerdoum, Abdesselam and Nguyen, Giang Hoang},
 title = {{Learning pattern classification tasks with imbalanced data sets}},
 pages = {193--208},
 publisher = {In-Teh},
 editor = {Yin, P.},
 booktitle = {{Pattern Recognition}},
 year = {2009}
}


@inproceedings{Piche2012,
 author = {Pich{\'e}, Robert and S{\"a}rkk{\"a}, Simo and Hartikainen, Jouni},
 title = {{Recursive Outlier-Robust Filtering and Smoothing for Nonlinear Systems using the Multivariate Student-t Distribution}},
 pages = {1--6},
 booktitle = {{2012 IEEE~International Workshop on Machine Learning for Signal Processing}},
 year = {2012}
}


@phdthesis{Piironen2014,
 author = {Piironen, Juho},
 year = {2014},
 title = {{Comparison of Bayesian predictive methods for variable selection}},
 publisher = {Department of Biomedical Engineering and Computational Science},
 school = {{Aalto University}}
}


@electronic{Piironen2017,
 author = {Piironen, Juho and Vehtari, Aki},
 year = {2017},
 title = {{Sparsity information and regularization in the horseshoe and other shrinkage priors}},
 address = {arXiv}
}


@article{Pillonetto2014,
 author = {Pillonetto, Gianluigi and Dinuzzo, Francesco and Chen, Tianshi and de Nicolao, Giuseppe and Ljung, Lennart},
 year = {2014},
 title = {{Kernel methods in system identification, machine learning and function estimation: A survey}},
 pages = {657--682},
 volume = {50},
 number = {3},
 journal = {{Automatica}}
}


@article{Pimentel2014,
 author = {Pimentel, Marco A. F. and Clifton, David A. and Clifton, Lei and Tarassenko, Lionel},
 year = {2014},
 title = {{A review of novelty detection}},
 pages = {215--249},
 volume = {99},
 journal = {{Signal Processing}}
}


@article{Pinheiro1996,
 author = {Pinheiro, Jos{\'e} C. and Bates, Douglas M.},
 year = {1996},
 title = {{Unconstrained parameterizations for variance-covariance matrices}},
 pages = {289--296},
 volume = {6},
 number = {3},
 journal = {{Statistics and Computing}}
}


@misc{Plagemann,
 author = {Plagemann, Christian and Fox, Dieter and Burgard, Wolfram},
 title = {{Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals}}
}


@electronic{PlattOnline,
 author = {Platt, John R.},
 title = {{Survival Skills for Scientific Writing}}
}


@incollection{Plessis2015,
 author = {Plessis, Marthinus D. and Niu, Gang and Sugiyama, Masashi},
 title = {{Convex Formulation for Learning from Positive and Unlabeled Data}},
 booktitle = {{Proceedings of the 32nd International Conference on Machine Learning}},
 year = {2015}
}


@article{Polson2017,
 author = {Polson, Nicholas G. and Sokolov, Vadim},
 year = {2017},
 title = {{Deep learning: a bayesian perspective}},
 pages = {1275--1304},
 volume = {12},
 number = {4},
 journal = {{Bayesian Analysis}}
}


@article{Porter2013,
 author = {Porter, Reid and Theiler, James and Hush, Don},
 year = {2013},
 title = {{Interactive Machine Learning in Data Exploitation}},
 pages = {12--20},
 volume = {15},
 number = {5},
 journal = {{Computing in Science {\&} Engineering}}
}


@book{Prado2010,
 author = {Prado, Raquel and West, Mike},
 year = {2010},
 title = {{Time Series: Modeling, Computation and Inference}},
 address = {Boca Raton and London and New York},
 urldate = {Original},
 publisher = {{CRC Press}}
}


@article{Prieto2013,
 author = {Prieto, Miguel Delgado and Cirrincione, Giansalvo and Espinosa, Antonio Garcia and Ortega, Juan Antonio and Henao, Humberto},
 year = {2013},
 title = {{Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks}},
 pages = {3398--3407},
 volume = {30},
 number = {8},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@incollection{Prieto2017,
 author = {Prieto, Miguel Delgado and Corrales, Jes{\'u}s A. Cari{\~n}o and Mill{\'a}n, Daniel Zurita and Gonzalvez, Marta Mill{\'a}n and Redondo, Juan A. Ortega and {Troncoso, Ren{\'e} de J. Romero}},
 title = {{Evaluation of Novelty Detection Methods for Condition Monitoring applied to an Electromechanical System}},
 pages = {131--151},
 publisher = {InTech},
 editor = {Demetgul, Mustafa and Ünal, Muhammet},
 booktitle = {{Fault Diagnosis and Detection}},
 year = {2017}
}


@article{Qin2003,
 author = {Qin, S. Joe},
 year = {2003},
 title = {{Statistical process monitoring: basics and beyond}},
 pages = {480--502},
 volume = {17},
 number = {8-9},
 journal = {{Journal of Chemometrics}}
}


@article{Qin2006,
 author = {Qin, S. Joe},
 year = {2006},
 title = {{An overview of subspace identification}},
 pages = {1502--1513},
 volume = {30},
 number = {10},
 journal = {{Computers and Chemical Engineering}}
}


@inproceedings{Qin2009,
 author = {Qin, S. Joe},
 title = {{Data-driven Fault Detection and Diagnosis for Complex Industrial Processes}},
 pages = {1115--1125},
 booktitle = {{Proceedings of the 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes}},
 year = {2009}
}


@article{Qin2012,
 author = {Qin, S. Joe},
 year = {2012},
 title = {{Survey on data-driven industrial process monitoring and diagnosis}},
 pages = {220--234},
 volume = {36},
 number = {2},
 journal = {{Annual Reviews in Control}}
}


@article{Rabiner1989,
 author = {Rabiner, Lawrence R.},
 year = {1989},
 title = {{A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition}},
 pages = {257--286},
 volume = {77},
 number = {2},
 journal = {{Proceedings of the IEEE}}
}


@proceedings{Raedt2001,
 year = {2001},
 title = {{Principles of Data Mining and Knowledge Discovery}},
 editor = {de Raedt, Luc and Siebes, Arno}
}


@inproceedings{Raitoharju2016,
 author = {Raitoharju, Matti and Pich{\'e}, Robert and Nurminen, Henri},
 title = {{A Systematic Approach for Kalman-type Filtering with non-Gaussian Noises}},
 pages = {???????????????},
 booktitle = {{19th International Conference on Information Fusion}},
 year = {2016}
}


@booklet{RandallD.Tobias,
 author = {{Randall D. Tobias}},
 title = {{An Introduction to Partial Least Squares Regression}},
 editor = {{SAS Institute Inc.}}
}


@article{Rao2009,
 author = {Rao, Chinmay and Ray, Asok and Sarkar, Soumik and Yasar, Murat},
 year = {2009},
 title = {{Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns}},
 pages = {101--114},
 volume = {3},
 number = {2},
 journal = {{Signal, Image and Video Processing}}
}


@book{Rasch2009,
 author = {Rasch, Bj{\"o}rn and Friese, Malte and Hofmann, Wilhelm Johann and Naumann, Ewald},
 year = {2009},
 title = {{Quantitative Methoden 1: Einf{\"u}hrung in die Statistik f{\"u}r Psychologen und Sozialwissenschaftler}},
 publisher = {Springer}
}


@book{Rasch2009b,
 author = {Rasch, Bj{\"o}rn and Friese, Malte and Hofmann, Wilhelm Johann and Naumann, Ewald},
 year = {2009},
 title = {{Quantitative Methoden 2: Einf{\"u}hrung in die Statistik f{\"u}r Psychologen und Sozialwissenschaftler}},
 publisher = {Springer}
}


@phdthesis{Rasmussen1996,
 author = {Rasmussen, Carl Edward},
 year = {1996},
 title = {{Evaluation of Gaussian Processes and Other Methods for Non-Linear Regression}},
 address = {Toronto},
 publisher = {Graduate Department of Computer Science},
 school = {{University of Toronto}}
}


@book{Rasmussen2006,
 author = {Rasmussen, Carl Edward and Williams, Christopher K. I.},
 year = {2006},
 title = {{Gaussian Processes for Machine Learning}},
 address = {Cambridge, Massachusetts},
 publisher = {{MIT Press}}
}


@incollection{Rauber2010,
 author = {Rauber, Thomas W. and {do Nascimento}, Eduardo Mendel and Wandekokem, Estefhan D. and Varejao, Flavio M.},
 title = {{Pattern Recognition based Fault Diagnosis in Industrial Processes: Review and Application}},
 publisher = {InTech},
 isbn = {978-953-7619-90-9},
 editor = {Herout, Adam},
 booktitle = {{Pattern Recognition Recent Advances}},
 year = {2010}
}


@article{Recalde2016,
 author = {Recalde, L. F. and Hur, S. and Leithead, W. E.},
 year = {2016},
 title = {{Gusts detection in a horizontal wind turbine by monitoring of innovations error of an extended Kalman filter}},
 volume = {753},
 number = {5},
 journal = {{Journal of Physics: Conference Series}}
}


@inproceedings{Reif2008,
 author = {Reif, Matthias and Goldstein, Markus and Stahl, Armin and Breuel, Thomas M.},
 title = {{Anomaly Detection by Combining Decision Trees and Parametric Densities}},
 booktitle = {{19th International Conference on Pattern Recognition}}
}


@article{Ren2010,
 author = {Ren, Yong-qiang and Su, Peng},
 year = {2010},
 title = {{Fault Diagnosis of Engine Assembly on Line}},
 journal = {{Modular Machine Tool {\&} Automatic Manufacturing Technique}}
}


@article{ReumannOnline,
 author = {Reumann, Matthias},
 title = {{PostScripts from Survival Skills for Scientific Writing}}
}


@article{Rhode2016,
 author = {Rhode, Stephan and Hong, Sanghyun and Hedrick, J. Karl and Gauterin, Frank},
 year = {2016},
 title = {{Vehicle tractive force prediction with robust and windup-stable Kalman filters}},
 pages = {37--50},
 volume = {46},
 journal = {{Control Engineering Practice}}
}


@phdthesis{Rhode2016b,
 author = {Rhode, Stephan},
 year = {2016},
 title = {{Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation}},
 address = {Karlruhe},
 publisher = {Fakult{\"a}t f{\"u}r Maschinenbau},
 school = {{Karlsruher Institut f{\"u}r Technologie}}
}


@phdthesis{Richnow2016,
 author = {Richnow, Jan Peter},
 year = {2016},
 title = {{Fertigungstechnische Optimierung elektrischer Drehfeldstatoren}},
 address = {M{\"u}nchen},
 school = {{Universit{\"a}t der Bundeswehr M{\"u}nchen}}
}


@article{Roberts1999,
 author = {Roberts, Stephen J.},
 year = {1999},
 title = {{Novelty Detection using Extreme Value Statistics}},
 pages = {124--129},
 volume = {146},
 number = {3},
 journal = {{Vision, Image and Signal Processing, IEE Proceedings}}
}


@article{Roberts2000,
 author = {Roberts, Stephen J.},
 year = {2000},
 title = {{Extreme value statistics for novelty detection in biomedical data processing}},
 pages = {363--367},
 volume = {147},
 number = {6},
 journal = {{Science, Measurement and Technology, IEE Proceedings}}
}


@book{Rockach2005,
 year = {2005},
 title = {{Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers}},
 publisher = {{Kluwer Academic Publishers}},
 editor = {Rockach, L.}
}


@inproceedings{Rodner2011,
 author = {Rodner, Erik and Wacker, Esther-Sabrina and Kemmler, Michael and Denzler, Joachim},
 title = {{One-class classification for anomaly detection in wire ropes with Gaussian processes in a few lines of code}},
 booktitle = {{MVA2011 IAPR~Conference on Machine Vision Applications}},
 year = {2011}
}


@proceedings{Rojas2015,
 year = {2015},
 title = {{Time Series Analysis and Forecasting: Selected Contributions from the ITISE Conference}},
 publisher = {Springer},
 editor = {Rojas, Ignacio and Pomares, H{\'e}ctor}
}


@book{Ross2014,
 author = {Ross, Sheldon M.},
 year = {2014},
 title = {{Introduction to Probability Models}},
 address = {Amsterdam},
 publisher = {Elsevier}
}


@book{Roth,
 author = {Roth, Alfred C. and Fisher, Blake J. and {Scott Gauthier}, W.},
 title = {{Small Gas Engines: Fundamentals, Service, Troubleshooting, Repair, Applications}}
}


@inproceedings{Roth2013b,
 author = {Roth, Michael and {\"O}zkan, Emre and Gustafsson, Fredrik},
 title = {{A Student's t filter for heavy tailed process and measurement noise}},
 pages = {5770--5774},
 booktitle = {{2013 IEEE International Conference on Acoustics, Speech and Signal Processing}},
 year = {2013}
}


@booklet{Roth2013c,
 author = {Roth, Michael},
 year = {2013},
 title = {{On the multivariate t distribution}},
 address = {Link{\"o}ping, Sweden}
}


@phdthesis{Roth2013d,
 author = {Roth, Michael},
 year = {2013},
 title = {{Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise}},
 address = {Link{\"o}ping},
 publisher = {Division of Automatic Control},
 school = {{Link{\"o}ping University}}
}


@article{Roth2016,
 author = {Roth, Michael and Hendeby, Gustaf and Gustafsson, Fredrik},
 year = {2016},
 title = {{Nonlinear Kalman Filters Explained:~A Tutorial on Moment Computations and Sigma Point Methods}},
 pages = {47--70},
 volume = {11},
 number = {1},
 journal = {{Journal of Advances in Information Fusion}}
}


@phdthesis{Roth2017b,
 author = {Roth, Michael},
 year = {2017},
 title = {{Advanced~Kalman Filtering Approaches to Bayesian State Estimation}},
 address = {Link{\"o}ping, Sweden},
 school = {{Link{\"o}ping University}}
}


@electronic{Roth2017c,
 author = {Roth, Michael and Ardeshiri, Tohid and {\"O}zkan, Emre and Gustafsson, Fredrik},
 year = {2017},
 title = {{Robust Bayesian Filtering and Smoothing Using Student's t Distribution}},
 url = {arXiv:1703.02428v1},
 address = {arXiv}
}


@book{Rousseeuw1987,
 author = {Rousseeuw, Peter J. and Leroy, Annick M.},
 year = {1987},
 title = {{Robust Regression and Outlier Detection}},
 address = {Hoboken, NJ, USA},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@article{Rousseeuw2011,
 author = {Rousseeuw, Peter J. and Hubert, Mia},
 year = {2011},
 title = {{Robust statistics for outlier detection}},
 pages = {73--79},
 volume = {1},
 number = {1},
 journal = {{Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery}}
}


@booklet{Ruckdeschel20,
 author = {Ruckdeschel, P.},
 year = {2010},
 title = {{Optimally Robust Kalman Filtering}},
 number = {185},
 series = {{Berichte des Fraunhofer ITWM}}
}


@electronic{Ruiz2017,
 author = {Ruiz, Francisco J. R. and Athey, Susan and Blei, David M.},
 year = {2017},
 title = {{SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements}},
 address = {arXiv}
}


@booklet{Rusin,
 author = {Rusin, Zack},
 title = {{Git Cheat Sheet}}
}


@book{Russell2000,
 author = {Russell, Evan and Chiang, Leo H. and Braatz, Richard D.},
 abstract = {{\dq}Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. The process monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process monitoring techniques presented include: Principal component analysis ; Fisher discriminant analysis ; Partial least squares ; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, demonstrating the strengths and weaknesses of each approach in detail. This aids the reader in selecting the right method for his process application. Plant simulator and homework problems in which students apply the process monitoring techniques to a nontrivial simulated process, and can compare their performance with that obtained in the case studies in the text are included. A number of additional homework problems encourage the reader to implement and obtain a deeper understanding of the techniques. The reader will obtain a background in data-driven techniques for fault detection and diagnosis, including the ability to implement the techniques and to know how to select the right technique for a particular application{\dq}--Back cover.},
 year = {2000},
 title = {{Data-driven methods for fault detection and diagnosis in chemical processes}},
 address = {London and New York},
 publisher = {Springer},
 isbn = {9781852332587},
 series = {{Advances in industrial control}}
}


@book{Russell2012,
 author = {Russell, Stuart and Norvig, Peter},
 year = {2012},
 title = {{K{\"u}nstliche Intelligenz}},
 publisher = {{Pearson Studium}}
}


@article{Sagerer1997,
 author = {Sagerer, Rudolf and Breu, Robert and Danzer, Maximilian},
 year = {1997},
 title = {{Kalttest in der Motorenfertigung}},
 pages = {678--683},
 volume = {58},
 number = {11},
 journal = {{MTZ-Motortechnische Zeitschrift}}
}


@article{Sahu2003,
 author = {Sahu, Sujit K. and Dey, Dipak K. and Branco, M{\'a}rcia D.},
 year = {2003},
 title = {{A new class of multivariate skew distributions with applications to Bayesian regression models}},
 pages = {129--150},
 volume = {31},
 number = {31},
 journal = {{The Canadian Journal of Statistics}}
}


@article{Salehi2015,
 author = {Salehi, Rasoul and Vossoughi, Gholamreza and Alasty, Aria},
 year = {2015},
 title = {{A Second-Order Sliding Mode Observer for Fault Detection and Isolation of Turbocharged SI Engines}},
 pages = {7795--7803},
 volume = {62},
 number = {12},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@article{Salzberg1997,
 author = {Salzberg, Steven L.},
 year = {1997},
 title = {{On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach}},
 pages = {317--328},
 volume = {1},
 number = {3},
 journal = {{Data Mining and Knowledge Discovery}}
}


@article{Samanta2003,
 author = {Samanta, B. and Al-Balushi, K. R. and Al-Araimi, S. A.},
 year = {2003},
 title = {{Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection}},
 pages = {657--665},
 volume = {16},
 number = {7},
 journal = {{Engineering Applications of Artificial Intelligence}}
}


@inproceedings{Sand2016,
 author = {Sand, Christian and Bogus, Kim and Kunz, Sabrina and Franke, J{\"o}rg},
 title = {{Holistic production analysis for actuator manufacturing using data mining}},
 pages = {301--305},
 booktitle = {{6th IEEE International Electric Drives Production Conference}},
 year = {2016}
}


@phdthesis{Sarkka2006,
 author = {S{\"a}rkk{\"a}, Simo},
 year = {2006},
 title = {{Recursive Bayesian Inference on Stochastic Differential Equations}},
 address = {Helsinki},
 school = {{Helsinki University of Technology}}
}


@article{Sarkka2009,
 author = {S{\"a}rkk{\"a}, Simo},
 year = {2009},
 title = {{Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations}},
 pages = {596--600},
 volume = {54},
 number = {3},
 journal = {{IEEE Transactions on Automatic Control}}
}


@phdthesis{Sarkka2012,
 author = {S{\"a}rkk{\"a}, Simo},
 year = {21.11.2012},
 title = {{Applied Stochastic Differential Equations}}
}


@book{Sarkka2013,
 author = {S{\"a}rkk{\"a}, Simo},
 year = {2013},
 title = {{Bayesian Filtering and Smoothing}},
 publisher = {{Cambridge University Press}}
}


@incollection{Sarkka2013b,
 author = {S{\"a}rkk{\"a}, Simo and Hartikainen, Jouni},
 title = {{Non-Linear Noise Adaptive Kalman Filtering via Variational Bayes}},
 pages = {1--6},
 publisher = {IEEE},
 booktitle = {{2013 IEEE~International Workshop on Machine Learning for Signal Processing}},
 year = {2013}
}


@electronic{Sarkka2013c,
 author = {S{\"a}rkk{\"a}, Simo and Hartikainen, Jouni},
 year = {2013},
 title = {{Variational Bayesian Adaptation of Noise Covariances in Non-Linear Kalman Filtering}},
 address = {arXiv}
}


@booklet{Sawyer2007,
 author = {Sawyer, Stanley},
 year = {30.04.2007},
 title = {{Wishart Distributions and Inverse-Wishart Sampling}}
}


@book{Sayed2008,
 author = {Sayed, Ali H.},
 year = {2008},
 title = {{Adaptive Filters}},
 address = {Hoboken, New Jersey},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@incollection{Schapire1996,
 author = {Schapire, Robert E. and Freund, Yoav},
 title = {{Experiments with a new boosting algorithm}},
 pages = {148--156},
 booktitle = {{Proc. of the 13th Int. Conf. on Machine Learning}},
 year = {1996}
}


@incollection{Schoelkopf1999,
 author = {Sch{\"o}lkopf, B. and Williamson, R. C. and Smola, A. J. and Shawe-Taylor, J. and Platt, J. C.},
 title = {{Support Vector Method for Novelty Detection}},
 pages = {582--588},
 booktitle = {{Proc. Neural Information Processing Systems}},
 year = {2000}
}


@article{Schoelkopf2000,
 author = {Sch{\"o}lkopf, Bernhard and Williamson, Robert C. and Bartlett, Peter L.},
 year = {2000},
 title = {{New support vector algorithms}},
 pages = {1207--1245},
 volume = {12},
 number = {5},
 journal = {{Neural Computation}}
}


@article{Schoelkopf2001,
 author = {Sch{\"o}lkopf, Bernhard and Platt, John C. and Shawe-Taylor, John and Smola, Alex J. and Williamson, Robert C.},
 year = {2001},
 title = {{Estimating the support of a high-dimensional distribution}},
 pages = {1443--1471},
 volume = {13},
 number = {7},
 journal = {{Neural Computation}}
}


@article{Scholkopf1998,
 author = {Sch{\"o}lkopf, Bernhard and Smola, Alexander J. and M{\"u}ller, Klaus-Robert},
 year = {1998},
 title = {{Nonlinear component analysis as a kernel eigenvalue problem}},
 pages = {1299--1319},
 volume = {10},
 number = {5},
 journal = {{Neural Computation}}
}


@article{Scholkopf1999b,
 author = {Sch{\"o}lkopf, Bernhard and Williamson, Robert C. and Smola, Alexander J. and Shawe-Taylor, John},
 year = {1999},
 title = {{SV estimation of a distribution's support}},
 volume = {12},
 journal = {{Advances in neural information processing systems}}
}


@book{Scholkopf2002,
 author = {Sch{\"o}lkopf, Bernhard and Smola, Alexander J.},
 year = {2002},
 title = {{Learning with kernels: Support Vector Machines, Regularization, Optimization, and Beyond}},
 publisher = {{MIT Press}}
}


@misc{Schon2011,
 author = {Sch{\"o}n, Thomas},
 year = {2011},
 title = {{Machine Learning 2011}},
 series = {{Machine Learning 2011}}
}


@article{Schon2011b,
 author = {Sch{\"o}n, Thomas and Wills, Adrian and Ninness, Brett},
 year = {2011},
 title = {{System Identification of Nonlinear State-Space Models}},
 pages = {39--49},
 volume = {47},
 number = {1},
 journal = {{Automatica}}
}


@book{Schoukens2012,
 author = {Schoukens, Johan and Pintelon, Rik and Rolain, Yves},
 year = {2012},
 title = {{Mastering System Identification in 100 Exercises}},
 address = {Hoboken, N.J.},
 publisher = {{John Wiley {\&} Sons, Inc.}}
}


@book{Schroder2009,
 author = {Schr{\"o}der, Dierk},
 year = {2009},
 title = {{Regelung von Antriebssystemen}},
 edition = {3},
 publisher = {Springer},
 series = {{Elektrische Antriebe}}
}


@article{Schroder2010,
 author = {Schr{\"o}der, Dierk},
 year = {2010},
 title = {{Intelligente Verfahren: Identifikation und Regelung nichtlinearer Systeme}},
 journal = {{Intelligente Verfahren}}
}


@book{Schroder2013,
 author = {Schr{\"o}der, Dierk},
 year = {2013},
 title = {{Grundlagen}},
 edition = {5},
 publisher = {Springer},
 series = {{Elektrische Antriebe}}
}


@phdthesis{Schubert2013,
 author = {Schubert, Erich},
 year = {2013},
 title = {{Generalized and Efficient Outlier Detection for Spatial, Temporal, and High-Dimensional Data Mining}},
 address = {M{\"u}nchen},
 school = {Ludwig--Maximilians--Universit{\"a}t}
}


@incollection{Schubert2014,
 author = {Schubert, Erich and Zimek, Arthur and Kriegel, Hans-Peter},
 title = {{Generalized Outlier Detection with Flexible Kernel Density Estimates}},
 booktitle = {{Proceedings of the 14th SIAM International Conference on Data Mining}},
 year = {2014}
}


@article{Schubert2014b,
 author = {Schubert, Erich and Zimek, Arthur and Kriegel, Hans-Peter},
 year = {2014},
 title = {{Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection}},
 pages = {190--237},
 volume = {28},
 number = {1},
 journal = {{Data Mining and Knowledge Discovery}}
}


@article{Schweppe1965,
 author = {Schweppe, Fred C.},
 year = {1965},
 title = {{Evaluation of likelihood functions for Gaussian signals}},
 pages = {61--70},
 volume = {11},
 number = {1},
 journal = {{IEEE~Transactions on Information Theory}}
}


@booklet{Scott2013,
 author = {Scott, Steven L. and Varian, Hal},
 year = {2013},
 title = {{Predicting the Present with Bayesian Structural Time Series}}
}


@incollection{Scott2014,
 author = {Scott, Steven L. and Varian, Hal},
 title = {{Bayesian Variable Selection for Nowcasting Economic Time Series}},
 pages = {119--135},
 publisher = {{University of Chicago Press}},
 booktitle = {{Economic Analysis of the Digital Economy}},
 year = {2014}
}


@proceedings{SDM2011,
 year = {2011},
 title = {{11th SIAM International Conference on Data Mining (SDM)}}
}


@incollection{Sellis,
 author = {Sellis, Timos and Mehrotra, Sharad},
 title = {{Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data: Santa Barbara, California, May 21-24, 2001}},
 volume = {v. 30, no. 2}
}


@incollection{Shah2014,
 author = {Shah, Amar and Wilson, Andrew Gordon and Ghahramani, Zoubin},
 title = {{Student-t Processes as Alternatives to Gaussian Processes}},
 pages = {877--885},
 booktitle = {{Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS)}},
 year = {2014}
}


@misc{ShaweTaylor2009,
 author = {Shawe-Taylor, John},
 year = {2009},
 title = {{Kernel Methods and Support Vector Machines}}
}


@book{Shen2011,
 author = {Shen, Jie and Tang, T. and Wang, Li-Lian},
 year = {2011},
 title = {{Spectral Methods: Algorithms, Analysis and Applications}},
 address = {Heidelberg and New York},
 volume = {41},
 publisher = {Springer},
 isbn = {978-3-540-71040-0},
 series = {{Springer series in computational mathematics}}
}


@inproceedings{Shi2012,
 author = {Shi, Enbo},
 title = {{An Improved Real-time Adaptive Kalman Filter For Low-Cost Integrated GPSIINS Navigation}},
 pages = {1093--1098},
 booktitle = {{International Conference on Measurement, Information and Control (MIC)}},
 year = {2012}
}


@article{Shin2005,
 author = {Shin, Hyun Joon and Eom, Dong-Hwan and Kim, Sung-Shick},
 year = {2005},
 title = {{One-class support vector machines - an application in machine fault detection and classification}},
 pages = {395--408},
 volume = {48},
 number = {2},
 journal = {{Computers {\&} Industrial Engineering}}
}


@booklet{Shlens2003,
 author = {Shlens, Jon},
 year = {2003},
 title = {{A Tutorial on Principal Component Analysis}}
}


@article{Shumway1982,
 author = {Shumway, Robert H. and Stoffer, David S.},
 year = {1982},
 title = {{An approach to time series smoothing and forecasting using the EM~algorithm}},
 pages = {253--264},
 volume = {3},
 number = {4},
 journal = {{Journal of time series analysis}}
}


@book{Shumway2011,
 author = {Shumway, Robert H. and Stoffer, David S.},
 year = {2011},
 title = {{Time Series Analysis and its Applications}},
 address = {New York Dordrecht Heidelberg London},
 edition = {3},
 publisher = {Springer}
}


@book{Siciliano2016,
 year = {2016},
 title = {{Springer Handbook of Robotics}},
 address = {Berlin Heidelberg},
 publisher = {Springer-Verlag},
 editor = {Siciliano, Bruno and Khatib, Oussama}
}


@book{Simon2006,
 author = {Simon, Dan},
 year = {2006},
 title = {{Optimal State Estimation: Kalman, H infinity, and Nonlinear Approaches}},
 address = {Hoboken, NJ, USA},
 publisher = {{John Wiley {\&} Sons}}
}


@phdthesis{Simon2012,
 author = {Simon, Christina},
 year = {2012},
 title = {{Stra{\ss}enumfeldmodellierung durch Fusion und Interpretation von Sensordaten zur spurgenauen Positionierung des Fahrzeugs}},
 address = {M{\"u}nchen},
 publisher = {Fakult{\"a}t f{\"u}r Informatik},
 school = {{Technische Universit{\"a}t M{\"u}nchen}}
}


@article{Singh2008,
 author = {Singh, G. K. and Sa'ad, Ahmed Saleh Al Kazzaz},
 year = {2008},
 title = {{Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring}},
 pages = {273--288},
 volume = {2},
 number = {2},
 journal = {{IEEE Systems Journal}}
}


@book{Sivia2007,
 author = {Sivia, Devinder S. and Skilling, John},
 year = {2007},
 title = {{Data analysis: a Bayesian tutorial}},
 address = {Oxford},
 edition = {2},
 publisher = {{Oxford University Press}}
}


@article{Skitt1993,
 author = {{Skitt, P. J. C.} and Javed, M. A. and Sanders, S. A. and Higginson, A. M.},
 year = {1993},
 title = {{Process Monitoring Using Auto-Associative, Feed-Forward Artificial Neural Networks}},
 pages = {79--94},
 volume = {4},
 number = {1},
 journal = {{Journal of Intelligent Manufacturing}}
}


@article{Skordilis2017,
 author = {Skordilis, E. and Moghaddass, R.},
 year = {2017},
 title = {{A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression}},
 pages = {1--18},
 journal = {{International Journal of Production Research}}
}


@book{Slotine1991,
 author = {Slotine, Jean-Jacques E. and Li, Weiping},
 year = {1991},
 title = {{Applied Nonlinear Control}},
 address = {London},
 publisher = {{Prentice-Hall International (UK) Limited}}
}


@booklet{Smith1962,
 author = {Smith, Gerald L. and Schmidt, Stanley F. and McGee, Leonard A.},
 year = {1962},
 title = {{Application of Statistical Filter Theory to the Optimal Estimation of Position and Velocity on Board a Circumlunar Vehicle: Technical Report R-135}}
}


@incollection{Smith2012,
 author = {Smith, Mark and Reece, Steven and Roberts, Stephen and Rezek, Iead},
 title = {{Online maritime abnormality detection using gaussian processes and extreme value theory}},
 pages = {645--654},
 booktitle = {{IEEE 12th International Conference on Data Mining (ICDM)}},
 year = {2012}
}


@inproceedings{Snelson2005,
 author = {Snelson, Edward and Ghahramani, Zoubin},
 title = {{Compact approximations to Bayesian predictive distributions}},
 pages = {840--847},
 booktitle = {{Proceedings of the 22nd International Conference on Machine Learning}},
 year = {2005}
}


@booklet{Snelson2005b,
 author = {Snelson, Edward and Ghahramani, Zoubin},
 year = {17.02.2005},
 title = {{Variational Bayes for Predictive Distributions}}
}


@inproceedings{Soelch2016,
 author = {Soelch, Maximilian and Bayer, Justin and Ludersdorfer, Marvin and {van der Smagt}, Patrick},
 title = {{Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series}},
 booktitle = {{Proceedings of the 33rd International Conference on Machine Learning}},
 year = {2016}
}


@incollection{Spinoso2014,
 author = {Spinoso, Lisa and Coville, Gareth and Roberts, Christopher},
 title = {{Analysis of the excess inter-arrival time distribution}},
 pages = {1--15},
 volume = {A3},
 booktitle = {{Integrated Communications, Navigation and Surveillance Conference (ICNS)}},
 year = {2014}
}


@book{Sra2012,
 author = {Sra, Suvrit and Nowozin, Sebastian and Wright, Stephen J.},
 year = {2012},
 title = {{Optimization for Machine Learning}},
 address = {Cambridge, Massachusetts},
 publisher = {{The MIT Press}}
}


@inproceedings{Stanisavljevic2016,
 author = {Stanisavljevic, Darko and Spitzer, Michael},
 title = {{A Review of Related Work on Machine Learning in Semiconductor Manufacturing and Assembly Lines}},
 booktitle = {{Proceedings of the 1st International Workshop on Science, Application and Methods in Industry 4.0}},
 year = {2016}
}


@article{Starke2017,
 author = {Starke, Ludger and Ostwald, Dirk},
 year = {2017},
 title = {{Variational~Bayesian Parameter Estimation Techniques for the General Linear Model}},
 pages = {1--22},
 volume = {11},
 number = {504},
 journal = {{Front. Neurosci.}}
}


@inproceedings{Stenlund2002,
 author = {Stenlund, Benny and Gustafsson, Fredrik},
 title = {{Avoiding windup in recursive parameter estimation}},
 pages = {148--153},
 booktitle = {{Preprints of reglerm{\"o}te 2002}},
 year = {2002}
}


@book{Stewart2014,
 author = {Stewart, John M.},
 year = {2014},
 title = {{Python for Scientists}},
 publisher = {{Cambridge University Press}}
}


@article{Stockwell2007,
 author = {Stockwell, R. G.},
 year = {2007},
 title = {{A Basis for Efficient Representation of the S-Transform}},
 pages = {371--393},
 volume = {17},
 number = {1},
 journal = {{Digital Signal Processing}}
}


@article{Stonebraker2013,
 author = {Stonebraker, Michael and Brown, Paul and Zhang, Donghui and Becla, Jacek},
 year = {2013},
 title = {{SciDB: A Database Management System for Applications with Complex Analytics}},
 pages = {54--62},
 volume = {15},
 number = {3},
 journal = {{Computing in Science {\&} Engineering}}
}


@book{Stork2004,
 author = {Stork, David G. and Yom-Tov, Elad},
 year = {2004},
 title = {{Computer Manual in MATLAB to accompany Pattern Classification, 2nd Edition}},
 publisher = {Wiley}
}


@article{Storvik2002,
 author = {Storvik, Geir},
 year = {2002},
 title = {{Particle filters for state-space models with the presence of unknown static parameters}},
 pages = {281--289},
 volume = {50},
 number = {2},
 journal = {{IEEE Transactions on Signal Processing}}
}


@book{Strang,
 author = {Strang, Gilbert},
 title = {{Wissenschaftliches Rechnen}}
}


@article{Strangb,
 author = {Strang, Gilbert},
 title = {{Linear Algebra in a Nutshell}}
}


@book{Strangc,
 author = {Strang, Gilbert},
 title = {{Linear Algebra and its Applications}}
}


@book{Strangca.1986,
 author = {Strang, Gilbert},
 year = {ca. 1986},
 title = {{Computational Science and Engineering}},
 address = {Wellesley, Mass},
 publisher = {{Wellesley-Cambridge Pr}},
 isbn = {978-0-9614088-1-7}
}


@article{Stratonovic1960,
 author = {Stratonovi{\v{c}}, Ruslan L.},
 year = {1960},
 title = {{Conditional Markov Processes}},
 pages = {156--178},
 volume = {5},
 number = {2},
 journal = {{Theory of Probability {\&} Its Applications}}
}


@book{Stratonovic1968,
 author = {Stratonovi{\v{c}}, Ruslan L.},
 year = {1968},
 title = {{Conditional Markov processes and their application to the theory of optimal control}},
 address = {New York, USA},
 edition = {2},
 publisher = {Elsevier}
}


@inproceedings{Svensson2016,
 author = {Svensson, Andreas and Solin, Arno and S{\"a}rkk{\"a}, Simo and Sch{\"o}n, Thomas B.},
 title = {{Computationally Efficient Bayesian Learning of Gaussian Process State Space Models}},
 pages = {213--221},
 booktitle = {{Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)}},
 year = {2016}
}


@phdthesis{Svensson2016b,
 author = {Svensson, Andreas},
 year = {2016},
 title = {{Learning probabilistic models of dynamical phenomena using particle filters}},
 address = {Uppsala},
 publisher = {Department of Information Technology},
 school = {{Uppsala University}}
}


@booklet{SwissAcademicSoftwareGmbH,
 author = {{Swiss Academic Software GmbH}},
 abstract = {Literaturverwaltung},
 title = {{Citavi 4: Kurzeinf{\"u}hrung}}
}


@book{T.Theeramunkongetal.2009,
 year = {2009},
 title = {{Advances in Knowledge Discovery and Data Mining}},
 address = {Berlin Heidelberg},
 publisher = {Springer},
 editor = {Theeramunkong, T. and {et al.}}
}


@article{Takeuchi2006,
 author = {Takeuchi, Jun-ichi and Yamanishi, Kenji},
 year = {2006},
 title = {{A unifying framework for detecting outliers and change points from time series}},
 pages = {482--492},
 volume = {18},
 number = {4},
 journal = {{IEEE Transactions on Knowledge and Data Engineering}}
}


@booklet{Talts2018,
 author = {Talts, Sean and Betancourt, Michael and Simpson, Daniel and Vehtari, Aki and Gelman, Andrew},
 year = {2018},
 title = {{Validating Bayesian Inference Algorithms with Simulation-Based Calibration}}
}


@article{Tang2009,
 author = {Tang, Yuchun and {Zhang Yan-Qing} and Chawla, Nitesh V. and Krasser, Sven},
 year = {2009},
 title = {{SVMs modeling for highly imbalanced classification}},
 pages = {281--288},
 volume = {39},
 number = {1},
 journal = {{IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics}}
}


@book{Tangirala2015,
 author = {Tangirala, Arun K.},
 year = {2015},
 title = {{Principles of System Identification}},
 publisher = {{CRC Press}}
}


@article{Tanner1987,
 author = {Tanner, Martin A. and Wong, Wing Hung},
 year = {1987},
 title = {{The Calculation of Posterior Distributions by Data Augmentation}},
 pages = {528--540},
 volume = {82},
 number = {398},
 journal = {{Journal of the American Statistical Association}}
}


@article{Tanner2010,
 author = {Tanner, Martin A. and Wong, Wing Hung},
 year = {2010},
 title = {{From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s}},
 pages = {506--516},
 volume = {25},
 number = {4},
 journal = {{Statistical Science}}
}


@article{Tansel1993,
 author = {Tansel, Ibrahim N. and Tziranis, Alexander and Wagiman, Amir},
 year = {1993},
 title = {{Modeling Workpiece Vibrations with Neural Networks}},
 pages = {95--107},
 volume = {4},
 number = {1},
 journal = {{Journal of Intelligent Manufacturing}}
}


@book{Tarantola2005,
 author = {Tarantola, Albert},
 year = {2005},
 title = {{Inverse Problem Theory}},
 address = {Philadelphia, USA},
 publisher = {{Society for Industrial and Applied Mathematics}}
}


@inproceedings{Tarassenko1995,
 author = {Tarassenko, Lionel and Hayton, P. and Cereneaz, N. and Brady, M.},
 title = {{Novelty detection for the identification of masses in mamograms}},
 pages = {442--447},
 booktitle = {{Proceedings Fourth IEE International Conference on Artificial Neural Networks}},
 year = {1995}
}


@article{Tax1999,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 year = {1999},
 title = {{Support vector domain description}},
 pages = {1191--1199},
 volume = {20},
 number = {11-13},
 journal = {{Pattern Recognition Letters}}
}


@incollection{Tax1999b,
 author = {Tax, David Martinus Johannes and Ypma, Alexander and Duin, Robert P. W.},
 title = {{Support vector data description applied to machine vibration analysis}},
 booktitle = {{Proc. 5th Annual Conference of the Advanced School for Computing and Imaging}},
 year = {1999}
}


@inproceedings{Tax1999c,
 author = {Tax, David Martinus Johannes and Ypma, Alexander and Duin, Robert P. W.},
 title = {{Pump failure detection using support vector data descriptions}},
 pages = {415--425},
 booktitle = {{3rd International Symposium on Advances in Intelligent Data Analysis}},
 year = {2009}
}


@incollection{Tax1999d,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 title = {{Data Domain Description using Support Vectors}},
 booktitle = {{ESANN'1999 proceedings - European Symposium on Artificial Neural Networks}},
 year = {1999}
}


@incollection{Tax2000,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 title = {{Data description in subspaces}},
 pages = {672--675},
 booktitle = {{Proceedings of the 15th International Conference on Pattern Recognition}},
 year = {2000}
}


@phdthesis{Tax2001,
 author = {Tax, David Martinus Johannes},
 year = {2001},
 title = {{One-Class Classification: Concept-Learning in the Absence of Counter-Examples}},
 address = {Delft},
 school = {{Delft University of Technology}}
}


@inproceedings{Tax2001b,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 title = {{Outliers and data descriptions}},
 pages = {234--241},
 booktitle = {{7th Annual Conference of the Advanced School for Computing and Imaging}},
 year = {2001}
}


@article{Tax2002,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 year = {2001},
 title = {{Uniform object generation for optimizing one-class classifiers}},
 pages = {155--173},
 volume = {2},
 number = {2},
 journal = {{Journal of Machine Learning Research}}
}


@incollection{Tax2003,
 title = {{Online SVM learning: from classification to data description and back}},
 booktitle = {{2003 IEEE XIII Workshop on Neural Networks for Signal Processing--NNSP'03}},
 year = {2003}
}


@incollection{Tax2003b,
 author = {Tax, David Martinus Johannes and M{\"u}ller, Klaus-Robert},
 title = {{Feature extraction for one-class classification}},
 pages = {342--349},
 booktitle = {{Proceedings of the ICANN/ICONIP 2003}},
 year = {2003}
}


@article{Tax2004,
 author = {Tax, David Martinus Johannes and Duin, Robert P. W.},
 year = {2004},
 title = {{Support vector data description}},
 pages = {45--66},
 volume = {54},
 number = {1},
 journal = {{Machine Learning}}
}


@inproceedings{Tax2004b,
 author = {Tax, David Martinus Johannes and M{\"u}ller, Klaus-Robert},
 title = {{A consistency-based model selection for one-class classification}},
 pages = {363--366},
 volume = {3},
 booktitle = {{Proceedings of the 17th International Conference on Pattern Recognition}},
 year = {2004}
}


@booklet{Tax2015,
 author = {Tax, David Martinus Johannes},
 year = {2015},
 title = {{DDtools, the Data Description Toolbox for Matlab}}
}


@article{TayaraniBathaie2014,
 author = {Tayarani-Bathaie, S. Sina and Vanini, Z. N. Sadough and Khorasani, K.},
 year = {2014},
 title = {{Dynamic neural network-based fault diagnosis of gas turbine engines}},
 pages = {153--165},
 number = {125},
 journal = {{Neurocomputing}}
}


@electronic{TechnologyReview2015,
 author = {{Technology Review}},
 year = {2015},
 title = {{Fehlersuche durch genaues Hinh{\"o}ren: Augury}},
 url = {http://www.heise.de/tr/artikel/Fehlersuche-durch-genaues-Hinhoeren-3034779.html}
}


@booklet{TESISDYNAwareGmbH2013,
 author = {{TESIS DYNAware GmbH}},
 year = {2013},
 title = {{DYNA4 Engine Themos}}
}


@incollection{Theissler2012,
 author = {Theissler, Andreas and Dear, Ian},
 title = {{Detecting anomalies in recordings from test drives based on a training set of normal instances}},
 pages = {124--132},
 booktitle = {{Proceedings of the IADIS International Conference Intelligent Systems and Agents 2012 and European Conference Data Mining}},
 year = {2012}
}


@article{Theissler2013,
 author = {Theissler, Andreas and Dear, Ian},
 year = {2013},
 title = {{Autonomously determining the parameters for SVDD with RBF kernel from a one-class training set}},
 pages = {949--957},
 volume = {7},
 number = {7},
 journal = {{International Journal of Computer, Electrical, Automation, Control and Information Engineering}}
}


@incollection{Theissler2013b,
 author = {Theissler, Andreas and Dear, Ian},
 title = {{An anomaly detection approach to detect unexpected faults in recordings from test drives}},
 booktitle = {{Proceedings of the WASET International Conference on Vehicular Electronics and Safety 2013}},
 year = {2013}
}


@phdthesis{Theissler2013c,
 author = {Theissler, Andreas},
 year = {2013},
 title = {{Detecting anomalies in multivariate time series from automotive systems}},
 address = {West London, UK},
 publisher = {Brunel University School of Engineering and Design},
 school = {{Brunel University}}
}


@incollection{Theissler2014,
 author = {Theissler, Andreas},
 title = {{Anomaly detection in recordings from in-vehicle networks}},
 booktitle = {{Proceedings of Big Data Applications and Principles First International Workshop}},
 year = {2014}
}


@book{Theodoridis2009,
 author = {Theodoridis, Sergios and Koutroumbas, Konstantinos},
 year = {2009},
 title = {{Pattern Recognition}},
 edition = {4th Edition},
 publisher = {Elsevier}
}


@book{Theodoridis2010,
 author = {Theodoridis, Sergios and Pikrakis, Aggelos and Koutroumbas, Konstantinos and Cavouras, Dionisis},
 year = {2010},
 title = {{Introduction to Pattern Recognition: A MATLAB Approach}},
 edition = {1}
}


@book{Theodoridis2015,
 author = {Theodoridis, Sergios},
 year = {2015},
 title = {{Machine Learning}},
 address = {Oxford},
 publisher = {{Elsevier Ltd}}
}


@article{Thomas1997,
 author = {Thomas, Jean-Hugh and Dubuisson, Bernard and Dillies-Peltier, Marie Agn{\`e}s},
 year = {1997},
 title = {{Engine Knock Detection from Vibration Signals Using Pattern Recognition}},
 pages = {431--439},
 volume = {32},
 number = {5},
 journal = {{Meccanica}}
}


@article{Thongkam2008,
 author = {Thongkam, Jaree and Xu, Guandong and Zhang, Yanchun and {{\&} Huang}, Fuchun},
 year = {2008},
 title = {{Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction}},
 pages = {99--109},
 journal = {{Advanced Web and Network Technologies, and Applications}}
}


@book{Thrun2006,
 author = {Thrun, Sebastian and Burgard, Wolfram and Fox, Dieter},
 year = {2006},
 title = {{Probabilistic Robotics}},
 address = {Cambridge, Massachusetts},
 publisher = {{MIT Press}}
}


@electronic{Thrun2016,
 author = {Thrun, Sebastian},
 year = {2016},
 title = {{Unit 2: Kalman Filters: CS373: Programming a Robotic Car}}
}


@electronic{Thrun2016b,
 author = {Thrun, Sebastian},
 year = {2016},
 title = {{Unit 3: Particle Filters: CS373: Programming a Robotic Car}}
}


@article{Tiao1993,
 author = {Tiao, George C. and Xu, Daming},
 year = {1993},
 title = {{Robustness of Maximum Likelihood Estimates for Multi-Step Predictions: The Exponential Smoothing Case}},
 pages = {623--641},
 volume = {80},
 number = {3},
 journal = {{Biometrika}}
}


@misc{Tibshirani2013,
 author = {Tibshirani, Ryan},
 year = {2013},
 title = {{Data Mining}}
}


@phdthesis{Timm2011,
 author = {Timm, Fabian},
 year = {2011},
 title = {{Machine Vision for Inspection and Novelty Detection}},
 address = {L{\"u}beck},
 publisher = {Department of Computer Sciences/Engineering},
 school = {{University of L{\"u}beck}}
}


@article{Tipping2001,
 author = {Tipping, Michael E.},
 year = {2001},
 title = {{Sparse Bayesian Learning and the Relevance Vector Machine}},
 pages = {211--244},
 volume = {1},
 journal = {{Journal of Machine Learning Research}}
}


@booklet{TMW2018,
 author = {{The MathWorks Inc.}},
 year = {2018},
 title = {{Optimization Toolbox User's Guide: R2018a}},
 address = {Natick, MA}
}


@inproceedings{Toepfer2002,
 author = {T{\"o}pfer, Susanne and Wolfram, Armin and Isermann, Rolf},
 abstract = {XV IFAC World Congress 2002},
 title = {{Semi-Physical Modelling of Nonlinear Processes by Means of Local Model Approaches}},
 booktitle = {{Proc. 15th IFAC World Congress}},
 year = {2002}
}


@inproceedings{Tran2003,
 author = {Tran, Quang-Anh and Zhang, Qianli and Li, Xing},
 title = {{Evolving Training Model Method for One-Class SVM}},
 pages = {2388--2393},
 volume = {3},
 booktitle = {{Systems, Man and Cybernetics, 2003. IEEE International Conference on}},
 year = {2003}
}


@article{Tran2005,
 author = {Tran, Quang-Anh and Li, Xing and Duan, Haixin},
 year = {2005},
 title = {{Efficient performance estimate for one-class support vector machine}},
 pages = {1174--1182},
 volume = {26},
 number = {8},
 journal = {{Pattern Recognition Letters}}
}


@electronic{Tran2017,
 author = {Tran, Dustin and Hoffman, Matthew D. and Saurous, Rif A. and Brevdo, Eugene and Murphy, Kevin Patrick and Blei, David M.},
 year = {2017},
 title = {{Deep Probabilistic Programming}},
 url = {arXiv:1701.03757}
}


@article{Tran2017b,
 author = {Tran, Dustin and Ranganath, Rajesh and Blei, David},
 year = {2017},
 title = {{Hierarchical Implicit Models and Likelihood-Free Variational Inference}},
 pages = {5527--5537},
 journal = {{Advances in neural information processing systems}}
}


@incollection{Tsiamyrtzis2007,
 author = {Tsiamyrtzis, Panagiotis and Hawkins, Douglas M.},
 title = {{A Bayesian Approach to Statistical Process Control}},
 pages = {87--107},
 publisher = {{Chapman {\&} Hall / CRC}},
 editor = {Colosimo, Bianca M. and {Del Castillo}, Enrique},
 booktitle = {{Bayesian Process Monitoring, Control and Optimization}},
 year = {2007}
}


@article{Tzikas2008,
 author = {Tzikas, Dimitris G. and Likas, Aristidis C. and Galatsanos, Nikolaos P.},
 year = {2008},
 title = {{The Variational Approximation for Bayesian Inference: Life after the EM~algorithm}},
 pages = {131--146},
 volume = {25},
 number = {6}
}


@article{Uchtmann1999,
 author = {Uchtmann, Kai and Wirth, Rainer},
 year = {1999},
 title = {{Maschinendiagnose an drehzahlver{\"a}nderlichen Antrieben mittels Ordnungsanalyse}},
 pages = {44--49},
 volume = {38},
 number = {?????},
 journal = {{Antriebstechnik}}
}


@booklet{UniversityofMelbourne2012,
 author = {{University of Melbourne}},
 year = {2012},
 title = {{Using tenses in scientific writing Update}}
}


@booklet{UniversityofNebraska2010,
 author = {{University of Nebraska}},
 year = {2010},
 title = {{Writing About Your Research: Verb Tense}}
}


@booklet{UniversityofRhodeIslandDepartmentofElectricalandComputerEngineering,
 title = {{FFT~Tutorial}}
}


@book{Urlaub1987,
 author = {Urlaub, Alfred},
 year = {1987},
 title = {{Verbrennungsmotoren: Grundlagen}},
 volume = {1}
}


@book{Urlaub1989,
 author = {Urlaub, Alfred},
 year = {1989},
 title = {{Verbrennungsmotoren: Konstruktion}},
 volume = {3}
}


@book{Urlaub1995,
 author = {Urlaub, Alfred},
 year = {1995},
 title = {{Verbrennungsmotoren: Grundlagen, Verfahrenstheorie, Konstruktion}},
 edition = {2}
}


@book{VanBassuysen2007,
 year = {2007},
 title = {{Handbuch Verbrennungsmotor: Grundlagen, Komponenten, Systeme, Perspektiven}},
 edition = {4},
 publisher = {Vieweg},
 isbn = {978-3-8348-0227-9},
 editor = {{van Basshuysen}, Richard and Sch{\"a}fer, Fred}
}


@incollection{vandeGeer2005,
 author = {{van de Geer}, Sara},
 title = {{Least Squares Estimation}},
 editor = {Everitt, Brian S. and Howell, David C.},
 booktitle = {{Encyclopedia of Statistics in Behavioral Science}},
 year = {2005}
}


@book{vanderHeijden2005,
 author = {{van der Heijden}, Ferdinand and Duin, Robert P. W. and de Ridder, Dick and Tax, David Martinus Johannes},
 year = {2005},
 title = {{Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB}},
 edition = {1},
 publisher = {{John Wiley {\&} Sons, Ltd}},
 isbn = {978-0470090138}
}


@article{vanderLaan2004,
 author = {{van der Laan}, Mark and Dudoit, Sandrine and Keles, S{\"u}nd{\"u}z},
 year = {2004},
 title = {{Asymptotic Optimality of Likelihood-Based Cross-Validation}},
 volume = {3},
 number = {1},
 journal = {{Statistical Applications in Genetics and Molecular Biology}}
}


@inproceedings{Vanhatalo2009,
 author = {Vanhatalo, Jarno and Jyl{\"a}nki, Pasi and Vehtari, Aki},
 title = {{Gaussian process regression with Student-t likelihood}},
 pages = {1910--1918},
 booktitle = {{Advances in Neural Information Processing Systems 22 (NIPS~2009)}},
 year = {2009}
}


@article{vanLoan1978,
 author = {{van Loan}, Charles F.},
 year = {1978},
 title = {{Computing integrals involving the matrix exponential}},
 pages = {395--404},
 volume = {23},
 number = {3},
 journal = {{IEEE Transactions on Automatic Control}}
}


@book{vanRijsbergen1979,
 author = {{van Rijsbergen}, C. J.},
 year = {1979},
 title = {{Information Retrieval}},
 address = {London},
 edition = {2},
 publisher = {Butterworths}
}


@article{Vapnik1995,
 author = {Vapnik, Vladimir Naumovich and Cortes, Corinna},
 year = {1995},
 title = {{Support-vector networks}},
 pages = {273--297},
 volume = {20},
 number = {3},
 journal = {{Machine Learning}}
}


@book{Vapnik1998,
 author = {Vapnik, Vladimir Naumovich},
 year = {1998},
 title = {{Statistical learning theory}},
 address = {New York},
 edition = {1},
 publisher = {Wiley-Interscience}
}


@booklet{Vector2009,
 author = {Vector},
 year = {2009},
 title = {{MDF~Specification 3.3}}
}


@article{Vehtari2002,
 author = {Vehtari, Aki and Lampinen, Jouko},
 year = {2002},
 title = {{Bayesian model assessment and comparison using cross-validation predictive densities}},
 pages = {2439--2468},
 volume = {14},
 number = {10},
 journal = {{Neural Computation}}
}


@article{Vehtari2012,
 author = {Vehtari, Aki and Ojanen, Janne},
 year = {2012},
 title = {{A survey of Bayesian predictive methods for model assessment, selection and comparison}},
 pages = {142--228},
 volume = {6},
 journal = {{Statistics Surveys}}
}


@electronic{Vehtari2016,
 author = {Vehtari, Aki and Gelman, Andrew and Gabry, Jonah},
 year = {2016},
 title = {{Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC}},
 url = {arXiv:1507.04544v5},
 address = {arXiv}
}


@article{Venkatasubramanian2003,
 author = {Venkatasubramanian, Venkat and Rengaswamy, Raghunathan and Yin, Kewen and Kavuri, Surya N.},
 year = {2003},
 title = {{A Review of Process Fault Detection and Diagnosis Part I: Quantitative Model-Based Methods}},
 pages = {293--311},
 volume = {27},
 number = {3},
 journal = {{Computers {\&} Chemical Engineering}}
}


@article{Venkatasubramanian2003b,
 author = {Venkatasubramanian, Venkat and Rengaswamy, Raghunathan and Yin, Kewen and Kavuri, Surya N.},
 year = {2003},
 title = {{A Review of Process Fault Detection and Diagnosis Part II: Qualitative Models and Search Strategies}},
 pages = {313--326},
 volume = {27},
 number = {3},
 journal = {{Computers {\&} Chemical Engineering}}
}


@article{Venkatasubramanian2003c,
 author = {Venkatasubramanian, Venkat and Rengaswamy, Raghunathan and Yin, Kewen and Kavuri, Surya N.},
 year = {2003},
 title = {{A Review of Process Fault Detection and Diagnosis Part III:~Process history based Methods}},
 pages = {327--346},
 volume = {27},
 number = {3},
 journal = {{Computers {\&} Chemical Engineering}}
}


@electronic{Verboven2004,
 author = {Verboven, Sabine and Hubert, Mia},
 year = {2004},
 title = {{LIBRA: a MATLAB Library for Robust Analysis: KU Leuven Robust Statistics Software}}
}


@electronic{Verboven2010,
 author = {Verboven, Sabine and Hubert, Mia},
 year = {2010},
 title = {{MATLAB library LIBRA}}
}


@article{Villani2006,
 author = {Villani, Mattias and Larsson, Rolf},
 year = {2006},
 title = {{The Multivariate Split Normal Distribution and Asymmetric Principal Components Analysis}},
 pages = {1123--1140},
 volume = {35},
 number = {6},
 journal = {{Communications in Statistics---Theory and Methods}}
}


@booklet{Vinueza2004,
 author = {Vinueza, Adam and Grudic, Gregory Z.},
 year = {2004},
 title = {{Unsupervised outlier detection and semi-supervised learning}}
}


@misc{Vlachos2005,
 author = {vlachos},
 year = {2005},
 title = {{A practical Time Series Tutorial with MATLAB}}
}


@booklet{Wagner2014,
 author = {Wagner, Susanne},
 year = {2014},
 title = {{Interpretation und Optimierung von elektrischen und vibroakustischen Merkmalen bei Pr{\"u}fungen im Kalttest}}
}


@article{Wahlstrom2011,
 author = {Wahlstr{\"o}m, Johan and Eriksson, Lars},
 year = {2011},
 title = {{Modelling diesel engines with a variable-geometry turbocharger and exhaust gas recirculation by optimization of model parameters for capturing non-linear system dynamics}},
 pages = {960--986},
 volume = {225},
 number = {7},
 journal = {{Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering}}
}


@book{Wainwright2008,
 author = {Wainwright, Martin J. and Jordan, Michael I.},
 year = {2008},
 title = {{Graphical Models, Exponential Families, and Variational Inference}},
 address = {Boston, Delft},
 publisher = {{now publishers inc.}}
}


@book{Wainwright2015,
 author = {Wainwright, Martin and Tibshirani, Robert and Hastie, Trevor},
 year = {2015},
 title = {{Statistical Learning with Sparsity: The Lasso and Generalizations}},
 address = {Boca Raton and London and New York},
 edition = {1},
 publisher = {{CRC Press}}
}


@book{Walsh2004,
 author = {Walsh, Philip P. and Fletcher, Paul},
 year = {2004},
 title = {{Gas Turbine Performance}},
 edition = {2},
 publisher = {{Blackwell Science Ltd}}
}


@article{Wang2011,
 author = {Wang, Dong and Tse, Peter W. and Guo, Wei and Miao, Qiang},
 year = {2011},
 title = {{Support vector data description for fusion of multiple health indicators for enhancing gearbox fault diagnosis and prognosis}},
 pages = {25102},
 volume = {22},
 number = {2},
 journal = {{Measurement Science and Technology}}
}


@article{Wang2013,
 author = {Wang, Xiaoyue and Mueen, Abdullah and Ding, Hui and Trajcevski, Goce and Scheuermann, Peter and Keogh, Eamonn J.},
 year = {2013},
 title = {{Experimental comparison of representation methods and distance measures for time series data}},
 pages = {275--309},
 volume = {26},
 number = {2},
 journal = {{Data Mining and Knowledge Discovery}}
}


@electronic{Wang2016,
 author = {Wang, Yixin and Kucukelbir, Alp and Blei, David M.},
 year = {2016},
 title = {{Reweighted Data for Robust Probabilistic Models}},
 url = {arXiv:1606.03860v1},
 address = {arXiv}
}


@article{WANGW.J.etal.,
 author = {Wang, W. J. and Chen, J. and Wu, X. K.},
 abstract = {Mechanical Systems and Signal Processing, Vol. 15, No. 4, pp. 697-705 (2001)},
 year = {2001},
 title = {{The Application of some Non-Linear Methods in Rotating Machinery Fault Diagnosis}},
 pages = {697--705},
 volume = {15},
 number = {4},
 journal = {{Mechanical Systems and Signal Processing}}
}


@article{WarrenLiao2005,
 author = {{Warren Liao}, T.},
 year = {2005},
 title = {{Clustering of time series data - a survey}},
 pages = {1857--1874},
 volume = {38},
 number = {11},
 journal = {{Pattern Recognition}}
}


@book{Webb2011,
 author = {Webb, Andrew R.},
 year = {2011},
 title = {{Statistical Pattern Recognition}},
 edition = {3}
}


@book{Weber20122012,
 author = {Weber, Hubert and Ulrich, Helmut},
 year = {2012, 2012},
 title = {{Laplace-, Fourier- und z-Transformation: Grundlagen und Anwendungen f{\"u}r Ingenieure und Naturwissenschaftler}},
 address = {Wiesbaden},
 edition = {9., {\"u}berarb. und erw. Aufl},
 publisher = {{Vieweg + Teubner}},
 isbn = {978-3-8348-0560-7},
 series = {{Studium}}
}


@incollection{Wei2008,
 author = {Wei, Li and Xi, Chen and Jie, Luo and Wen, Xu},
 title = {{Modeling and Simulation of System Dynamics for Cold Test}},
 pages = {468--472},
 booktitle = {{Second International Symposium on Intelligent Information Technology Application}},
 year = {2008}
}


@incollection{Wei2010,
 author = {Wei, Li and Zhang, Kun and Wen, Xu and Xi, Chen},
 title = {{The Fault Simulation of Diesel Engine in Cold Test: ICIS 2010, October 29-31, 2010, Xiamen, China}},
 booktitle = {{Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on}},
 year = {2010}
}


@article{Wei2013,
 author = {Wei, Li and Kun, Zhang},
 year = {2013},
 title = {{A new fault diagnosis method for cold test based on frequency analysis}},
 pages = {146--157},
 volume = {18},
 number = {2},
 journal = {{International Journal of Modelling, Identification and Control}}
}


@article{Wen2012,
 author = {Wen, Qiaojun and Ge, Zhigiang and Song, Zhihuan},
 year = {2012},
 title = {{Data--based linear Gaussian state--space model for dynamic process monitoring}},
 pages = {3763--3776},
 volume = {58},
 number = {12},
 journal = {{AIChE Journal}}
}


@book{Werner2012,
 author = {Werner, Martin},
 year = {2012},
 title = {{Digitale Signalverarbeitung mit MATLAB: Grundkurs mit 16 ausf{\"u}hrlichen Versuchen}},
 address = {Wiesbaden},
 edition = {5., durchges. u. aktualisierte Aufl},
 publisher = {{Vieweg et Teubner}},
 isbn = {978-3-8348-1473-9},
 series = {{Studium}}
}


@book{West1997,
 author = {West, Mike and Harrison, Jeff},
 year = {1997},
 title = {{Bayesian Forecasting and Dynamic Models}},
 address = {New York},
 edition = {2},
 publisher = {Springer}
}


@incollection{West2006,
 author = {West, Mike},
 title = {{Bayesian Forecasting}},
 pages = {400--410},
 volume = {2},
 publisher = {Wiley},
 editor = {Kotz, Samuel and Read, Campbell B. and Balakrishnan, N. and Vidakovic, Brani},
 booktitle = {{Encyclopedia of Statistical Sciences}},
 year = {2006}
}


@article{Widodo2007,
 author = {Widodo, Achmad and Yang, Bo-Suk},
 year = {2007},
 title = {{Support Vector Machine in Machine Condition Monitoring and Fault Diagnosis}},
 pages = {2560--2574},
 volume = {21},
 number = {6},
 journal = {{Mechanical Systems and Signal Processing}}
}


@article{Widodo2009,
 author = {Widodo, Achmad and Kim, Eric Y. and Son, Jong-Duk and Yang, Bo-Suk and Tan, Andy C. C. and Gu, Dong-Sik and Choi, Byeong-Keun and Mathew, Joseph},
 year = {2009},
 title = {{Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine}},
 pages = {7252--7261},
 volume = {36},
 number = {3},
 journal = {{Expert Systems with Applications}}
}


@phdthesis{Wiederer2015,
 author = {Wiederer, Julian},
 year = {2015},
 title = {{Modellierung und Simulation von Ottomotoren im Endfunktionstest}},
 publisher = {Fakult{\"a}t Maschinenbau},
 school = {{Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt}}
}


@article{Wiederer2016,
 author = {Wiederer, Julian and Leitner, Lukas and Endisch, Christian and Reiss, Hans},
 year = {2016},
 title = {{Fast crank-angle based 0D simulation of combustion engine cold tests including manufacturing faults and production spread}},
 pages = {321--335},
 volume = {9},
 number = {1},
 journal = {{SAE International Journal of Passenger Cars - Mechanical Systems}}
}


@article{Williams1998,
 author = {Williams, Christopher K. I. and Barber, David},
 year = {1998},
 title = {{Bayesian classification with gaussian processes}},
 pages = {1342--1351},
 volume = {20},
 number = {12},
 journal = {{Pattern Analysis and Machine Intelligence}}
}


@article{Williams2005,
 author = {Williams, Oliver and Blake, Andrew and Cipolla, Roberto},
 year = {2005},
 title = {{Sparse Bayesian Learning for Efficient Visual Tracking}},
 pages = {1292--1304},
 volume = {27},
 number = {8},
 journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}}
}


@book{Willimowsk2003,
 author = {Willimowsk, Markus},
 abstract = {DFT, Wavelet, Fuzzy-Logik, Signalbasierte Merkmalsextraktion, KNN-basierte Klassifikation},
 year = {2003},
 title = {{Verbrennungsdiagnose von Ottomotoren mittels Abgasdruck und Ionenstrom}},
 publisher = {{Shaker Verlag}},
 isbn = {3-8322-1119-5}
}


@article{Wills2012,
 author = {Wills, Adrian and Sch{\"o}n, Thomas B. and Lindsten, Fredrik and Ninness, Brett},
 year = {2012},
 title = {{Estimation of Linear Systems using a Gibbs Sampler}},
 pages = {203--208},
 volume = {45},
 number = {16},
 journal = {{IFAC Proceedings Volumes}}
}


@article{Wilson2014,
 author = {Wilson, Greg and Aruliah, D. A. and Brown, C. Titus and {Chue Hong, Neil P.} and Davis, Matt and Guy, Richard T. and {Haddock, Steven H. D.} and Huff, Kathryn D. and Mitchell, Ian M. and Plumbley, Mark D. and Waugh, Ben and White, Ethan P. and Wilson, Paul and Eisen, Jonathan A.},
 year = {2014},
 title = {{Best Practices for Scientific Computing}},
 pages = {e1001745},
 volume = {12},
 number = {1},
 journal = {{PLoS Biology}}
}


@booklet{Wirth,
 author = {Wirth, Rainer},
 title = {{Maschinendiagnose an Industriegetrieben - Grundlagen}},
 editor = {maschinendiagnose.de}
}


@article{Wirth2007,
 author = {Wirth, Rainer},
 year = {2007},
 title = {{Schwingungsdiagnose an Langsaml{\"a}ufern}},
 journal = {{Erneuerbare Energien}}
}


@booklet{Wirthb,
 author = {Wirth, Rainer},
 title = {{Maschinendiagnose an Industriegetrieben - praktische Signalidentifikation}},
 editor = {maschinendiagnose.de}
}


@booklet{Wirthc,
 author = {Wirth, Rainer},
 title = {{Schadensbegrenzung}}
}


@electronic{Wolf2017,
 author = {Wolf, Will},
 year = {2017},
 title = {{Minimizing the Negative Log-Likelihood, in English}}
}


@electronic{Wolf2017b,
 author = {Wolf, Will},
 year = {2017},
 title = {{Further Exploring Common Probabilistic Models}}
}


@article{Wu2005,
 author = {Wu, Jian-Da and Chuang, Chao-Qin},
 year = {2005},
 title = {{Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals}},
 pages = {605--614},
 volume = {38},
 number = {8},
 journal = {{NDT{\&}E International}}
}


@article{Wu2006,
 author = {Wu, Jian-Da and Chen, Jien-Chen},
 year = {2006},
 title = {{Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines}},
 pages = {304--311},
 volume = {39},
 number = {4},
 journal = {{NDT {\&} E International}}
}


@article{WU2008,
 author = {Wu, Jian-Da and CHIANG, P. and CHANG, Y. and SHIAO, Y.},
 year = {2008},
 title = {{An expert system for fault diagnosis in internal combustion engines using probability neural network}},
 pages = {2704--2713},
 volume = {34},
 number = {4},
 journal = {{Expert Systems with Applications}}
}


@article{Wu2008b,
 author = {Wu, Jian-Da and Liu, Chiu-Hong},
 year = {2008},
 title = {{Investigation of engine fault diagnosis using discrete wavelet transform and neural network}},
 pages = {1200--1213},
 volume = {35},
 number = {3},
 journal = {{Expert Systems with Applications}}
}


@article{Wu2009,
 author = {Wu, Jian-Da and Liu, Chiu-Hong},
 year = {2009},
 title = {{An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network}},
 pages = {4278--4286},
 volume = {36},
 number = {3},
 journal = {{Expert Systems with Applications}}
}


@article{Wu2009b,
 author = {Wu, Jian-Da and Liu, Chiu-Hong},
 year = {2009},
 title = {{An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network}},
 pages = {4278--4286},
 volume = {36},
 number = {3},
 journal = {{Expert Systems with Applications}}
}


@article{Wu2010,
 author = {Wu, Jian-Da and Huang, Cheng-Kai and Chang, Yo-Wei and Shiao, Yao-Jung},
 year = {2010},
 title = {{Fault diagnosis for internal combustion engines using intake manifold pressure and artificial neural network}},
 pages = {949--958},
 volume = {37},
 number = {2},
 journal = {{Expert Systems with Applications}}
}


@misc{Xiao,
 author = {Xiao, Bingjun and Xiong, Jinjun and Shi, Yiyu},
 title = {{Novel Applications of Deep Learning Hidden Features for Adaptive Testing}}
}


@article{Xing2010,
 author = {Xing, Zhengzheng and Jian, Pei and Eamonn, Keogh},
 year = {2010},
 title = {{A Brief Survey on Sequence Classification}},
 pages = {40--48},
 volume = {12},
 number = {1},
 journal = {{ACM SIGKDD Explorations Newsletter}}
}


@incollection{Xu2010,
 author = {Xu, Huan and Caramanis, Constantine and Sanghavi, Sujay},
 title = {{Robust PCA via outlier pursuit}},
 pages = {2496--2504},
 booktitle = {{Advances in Neural Information Processing Systems 23}},
 year = {2010}
}


@book{Yang2005,
 author = {Yang, Wŏn-yŏng},
 year = {2005},
 title = {{Applied Numerical Methods Using MATLAB}},
 address = {Hoboken, N.J},
 publisher = {Wiley-Interscience},
 isbn = {0-471-69833-4}
}


@article{Yang2007,
 author = {Yang, Biao and Zhang, Zengke and Sun, Zhengshun},
 year = {2007},
 title = {{Robust Relevance Vector Regression with Trimmed Likelihood Function}},
 pages = {746--749},
 volume = {14},
 number = {10},
 journal = {{IEEE~Signal Processing Letters}}
}


@inproceedings{Yang2007b,
 author = {Yang, Biao and Zhang, Zengke and Sun, Zhengshun},
 title = {{TRVR: A Trimmed Relevance Vector Regression Method}},
 pages = {347--350},
 booktitle = {{2007 2nd IEEE Conference on Industrial Electronics and Applications}},
 year = {2007}
}


@article{Yerramareddy1993,
 author = {Yerramareddy, Sudhakar and Lu, Stephen C-Y. and Arnold, Karl F.},
 year = {1993},
 title = {{Developing Empirical Models from Observational Data using Artificial Neural Networks}},
 pages = {33--41},
 volume = {4},
 number = {1},
 journal = {{Journal of Intelligent Manufacturing}}
}


@book{Yin2009,
 year = {2009},
 title = {{Pattern Recognition}},
 address = {Vukovar, Croatia},
 publisher = {In-Teh},
 editor = {Yin, P.}
}


@incollection{Yin2011,
 author = {Yin, Feng and Huang, Guang-Xin},
 title = {{Improved density-induced support vector data description}},
 booktitle = {{Proceedings of the 2011 International Conference on Machine Learning and Cybernetics}},
 year = {2011}
}


@article{Yin2014,
 author = {Yin, Shen and Zhu, Xianping and Jing, Chen},
 year = {2014},
 title = {{Fault detection based on a robust one class support vector machine}},
 pages = {263--268},
 number = {145},
 journal = {{Neurocomputing}}
}


@article{Yin2014b,
 author = {Yin, Shen and Ding, Steven X. and Xie, Xiaochen and Luo, Hao},
 year = {2014},
 title = {{A review on basic data-driven approaches for industrial process monitoring}},
 pages = {6418--6428},
 volume = {61},
 number = {11},
 journal = {{IEEE Transactions on Industrial Electronics}}
}


@article{Yin2015,
 author = {Yin, Shen and Kaynak, Okyay},
 year = {2015},
 title = {{Big Data for Modern Industry: Challenges and Trends [Point of View]}},
 pages = {143--146},
 volume = {103},
 number = {2},
 journal = {{Proceedings of the IEEE}}
}


@article{Yin2015b,
 author = {Yin, Shen and Huang, Zenghui},
 year = {2015},
 title = {{Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements}},
 pages = {2613--2620},
 volume = {20},
 number = {5},
 journal = {{IEEE/ASME Transactions on Mechatronics}}
}


@article{Yin2016,
 author = {Yin, Shen and Wang, Guang and Gao, Juijun},
 year = {2016},
 title = {{Data-driven process monitoring based on modified orthogonal projections to latent structures}},
 pages = {1480--1487},
 volume = {24},
 number = {4},
 journal = {{IEEE Transactions on Control Systems Technology}}
}


@book{Young2011,
 author = {Young, Peter C.},
 year = {2011},
 title = {{Recursive Estimation and Time-Series Analysis}},
 address = {Heidelberg Dortrecht London New York},
 edition = {2},
 publisher = {Springer}
}


@incollection{Ypma1999,
 author = {Ypma, Alexander and Tax, David Martinus Johannes and Duin, Robert P. W.},
 title = {{Robust machine fault detection with independent component analysis and support vector data description}},
 pages = {67--76},
 booktitle = {{Proceedings of the 1999 IEEE Signal Processing Society Workshop}},
 year = {1999}
}


@article{Yu2018,
 author = {Yu, Chengpu and Ljung, Lennart and Verhaegen, Michel},
 year = {2018},
 title = {{Identification of structured state-space models}},
 pages = {54--61},
 volume = {90},
 journal = {{Automatica}}
}


@booklet{Zagel2014,
 author = {Zagel, Christian},
 year = {2014},
 title = {{Einsatz lernf{\"a}higer Systeme bei der EOL-Pr{\"u}fung von E-Maschine-Getriebe-Modulen: Hauptseminar}}
}


@phdthesis{Zagel2015,
 author = {Zagel, Christian},
 year = {2015},
 title = {{Lernf{\"a}hige Fehler-Klassifizierung f{\"u}r die EOL-Pr{\"u}fung von E-Maschinen}}
}


@phdthesis{Zahn2012,
 author = {Zahn, Sebastian},
 year = {2012},
 title = {{Arbeitsspielaufgel{\"o}ste Modellbildung und Hardware-in-the-Loop-Simulation von PKW-Dieselmotoren mit Abgasturboaufladung}},
 address = {Darmstadt},
 school = {{Technische Universit{\"a}t Darmstadt}}
}


@book{Zaki2014,
 author = {Zaki, Mohammed J. and Meira, JR., Wagner},
 year = {2014},
 title = {{Data Mining and Analysis: Fundamental Concepts and Algorithms}},
 address = {New York},
 edition = {1},
 publisher = {{Cambridge University Press}}
}


@incollection{Zhang2008,
 author = {Zhang, Dell and Lee, Wee Sun},
 title = {{Learning classifiers without negative examples: A reduction approach}},
 booktitle = {{Third International Conference on Digital Information Management}},
 year = {2008}
}


@article{Zhang2009,
 author = {Zhang, Yong and Liu, Xiao-Dan and Xie, Fu-Ding and Li, Ke-Qiu},
 year = {2009},
 title = {{Fault classifier of rotating machinery based on weighted support vector data description}},
 pages = {7928--7932},
 volume = {36},
 number = {4},
 journal = {{Expert Systems with Applications}}
}


@article{Zhang2010,
 author = {Zhang, Yang and Meratnia, Nirvana and Havinga, Paul J. M.},
 year = {2010},
 title = {{Outlier detection techniques for wireless sensor networks: a survey}},
 pages = {159--170},
 volume = {12},
 number = {2},
 journal = {{Communications Surveys {\&} Tutorials}}
}


@article{Zhang2013,
 author = {Zhang, Yang and Meratnia, Nirvana and Havinga, Paul J. M.},
 year = {2013},
 title = {{Distributed online outlier detection in wireless sensor networks using ellipsoidal support vector machine}},
 pages = {1062--1074},
 volume = {11},
 number = {3},
 journal = {{Ad hoc networks}}
}


@electronic{Zhu2017,
 author = {Zhu, Lingxue and Laptev, Nikolay},
 year = {2017},
 title = {{Deep and Confident Prediction for Time Series at Uber}},
 url = {https://arxiv.org/pdf/1709.01907.pdf},
 address = {arXiv}
}


@article{Zhuang2006,
 author = {Zhuang, Ling and Dai, Honghua},
 year = {2006},
 title = {{Parameter optimization of kernel-based one-class classifier on imbalance learning}},
 pages = {32--40},
 volume = {1},
 number = {7},
 journal = {{Journal of Computers}}
}


@article{Zimek2012,
 author = {Zimek, Arthur and Schubert, Erich and Kriegel, Hans-Peter},
 year = {2012},
 title = {{A survey on unsupervised outlier detection in high--dimensional numerical data}},
 pages = {363--387},
 volume = {5},
 number = {5},
 journal = {{Statistical Analysis and Data Mining}}
}


@article{Zou2001,
 author = {Zou, Y. and Chan, S. C. and Ng, T. S.},
 year = {2001},
 title = {{Robust M-estimate adaptive filtering}},
 pages = {289--294},
 volume = {148},
 number = {4},
 journal = {{IEE~Proceedings - Vision, Image and Signal Processing}}
}


@article{Zou2016,
 author = {Zou, Jing and Chang, Qing and Lei, Yong and Arinez, Jorge},
 year = {2016},
 title = {{Production System Performance Identification Using Sensor Data}},
 pages = {1--10},
 number = {99},
 journal = {{IEEE Transactions on Systems, Man, and Cybernetics: Systems}}
}


@article{Zoubir2012,
 author = {Zoubir, Abdelhak M. and Koivunen, Visa and Chakhchoukh, Yacine and Muma, Michael},
 year = {2012},
 title = {{Robust estimation in signal processing}},
 pages = {61--80},
 volume = {29},
 number = {4},
 journal = {{IEEE Signal Processing Magazine}}
}