2024
hi
Matthew, V., Simancek, R. E., Telepo, E., Machesky, J., Willman, H., Ismail, A. B., Schulz, A. K.
Empowering Change: The Role of Student Changemakers in Advancing Sustainability within Engineering Education
Proceedings of the American Society of Engineering Education (ASEE), June 2024, Victoria Matthew and Andrew K. Schulz contributed equally to this publication. (issue) In press
2023
sf
Barocas, S., Hardt, M., Narayanan, A.
Fairness in Machine Learning: Limitations and Opportunities
MIT Press, December 2023 (book)
2022
sf
Hardt, M., Recht, B.
Patterns, Predictions, and Actions: Foundations of Machine Learning
Princeton University Press, August 2022 (book)
2021
ei
Belousov, B., H., A., Klink, P., Parisi, S., Peters, J.
Reinforcement Learning Algorithms: Analysis and Applications
883, Studies in Computational Intelligence, Springer International Publishing, 2021 (book)
2020
avg
Janai, J., Güney, F., Behl, A., Geiger, A.
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
12(1-3), Foundations and Trends® in Computer Graphics and Vision, now Publishers Inc., Hanover, MA, 2020 (book)
2019
ps
Dwivedi, S. K., Gupta, V., Mitra, R., Ahmed, S., Jain, A.
ProtoGAN: Towards Few Shot Learning for Action Recognition
Proc. International Conference on Computer Vision (ICCV) Workshops, October 2019 (manual)
mms
Keskinbora, K.
Prototyping Micro- and Nano-Optics with Focused Ion Beam Lithography
SL48, pages: 46, SPIE.Spotlight, SPIE Press, Bellingham, WA, 2019 (book)
2017
ei
Peters, J., Janzing, D., Schölkopf, B.
Elements of Causal Inference - Foundations and Learning Algorithms
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)
pi
Sitti, M.
Mobile Microrobotics
Mobile Microrobotics, The MIT Press, Cambridge, MA, 2017 (book)
2014
ps
Nowozin, S., Gehler, P. V., Jancsary, J., Lampert, C. H.
Advanced Structured Prediction
Advanced Structured Prediction, pages: 432, Neural Information Processing Series, MIT Press, November 2014 (book)
ei
Kober, J., Peters, J.
Learning Motor Skills: From Algorithms to Robot Experiments
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book)
ei
Schultz, T., Nedjati-Gilani, G., Venkataraman, A., O’Donnell, L., Panagiotaki, E.
Computational Diffusion MRI and Brain Connectivity
pages: 255, Mathematics and Visualization, Springer, 2014 (book)
ps
Pons-Moll, G.
Human Pose Estimation from Video and Inertial Sensors
Ph.D Thesis, -, 2014 (book)
2013
ei
Schölkopf, B., Luo, Z., Vovk, V.
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik
Springer, 2013 (book)
2012
ps
Fossati, A., Gall, J., Grabner, H., Ren, X., Konolige, K.
Consumer Depth Cameras for Computer Vision - Research Topics and Applications
Advances in Computer Vision and Pattern Recognition, Springer, 2012 (book)
al
Der, R., Martius, G.
The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots
Springer, Berlin Heidelberg, 2012 (book)
2011
ei
Sra, S., Nowozin, S., Wright, S.
Optimization for Machine Learning
pages: 494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 (book)
ei
Barber, D., Cemgil, A., Chiappa, S.
Bayesian Time Series Models
pages: 432, Cambridge University Press, Cambridge, UK, August 2011 (book)
ei
Lu, H., Schölkopf, B., Zhao, H.
Handbook of Statistical Bioinformatics
pages: 627, Springer Handbooks of Computational Statistics, Springer, Berlin, Germany, 2011 (book)
2010
ei
Sigaud, O., Peters, J.
From Motor Learning to Interaction Learning in Robots
pages: 538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 (book)
mms
Hirscher, M.
Handbook of Hydrogen Storage
pages: 353 p., Wiley-VCH, Weinheim, 2010 (book)
2008
ps
John W. Eaton, David Bateman, Soren Hauberg
GNU Octave Manual Version 3
Network Theory Ltd., October 2008 (book)
ei
Peters, J.
Machine Learning for Robotics: Learning Methods for Robot Motor Skills
pages: 107 , (Editors: J Peters), VDM-Verlag, Saarbrücken, Germany, May 2008 (book)
2007
ei
Bakir, G., Hofmann, T., Schölkopf, B., Smola, A., Taskar, B., Vishwanathan, S.
Predicting Structured Data
pages: 360, Advances in neural information processing systems, MIT Press, Cambridge, MA, USA, September 2007 (book)
ei
Bottou, L., Chapelle, O., DeCoste, D., Weston, J.
Large-Scale Kernel Machines
pages: 416, Neural Information Processing Series, MIT Press, Cambridge, MA, USA, September 2007 (book)
2006
ei
Chapelle, O., Schölkopf, B., Zien, A.
Semi-Supervised Learning
pages: 508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 (book)
ei
Rasmussen, CE., Williams, CKI.
Gaussian Processes for Machine Learning
pages: 248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 (book)
2004
ei
Schölkopf, B., Tsuda, K., Vert, J.
Kernel Methods in Computational Biology
pages: 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 (book)
2003
mms
Kronmüller, H., Fähnle, M.
Magnetism and the Microstructure of Ferromagnetic Solids
pages: 432 p., 1st ed., Cambridge University Press, Cambridge, 2003 (book)
2002
ei
Schölkopf, B., Smola, A.
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)
icm
Morphology of Condensed Matter - Physics and Geometry of Spatially Complex Systems
600, pages: 439 p., Lecture Notes in Physics, Springer, Berlin [et al.], 2002 (book)
2000
ei
Smola, A., Bartlett, P., Schölkopf, B., Schuurmans, D.
Advances in Large Margin Classifiers
pages: 422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 (book)
1999
ei
Schölkopf, B., Burges, C., Smola, A.
Advances in Kernel Methods - Support Vector Learning
MIT Press, Cambridge, MA, 1999 (book)
1997
ei
Schölkopf, B.
Support vector learning
pages: 173, Oldenbourg, München, Germany, 1997, Zugl.: Berlin, Techn. Univ., Diss., 1997 (book)
1992
am
Schaal, S.
Integrierte Wissensverarbeitung mit CAD am Beispiel der konstruktionsbegleitenden Kalkulation (Ways to smarter CAD Systems)
Hanser 1992. (Konstruktionstechnik München Band 8). Zugl. München: TU Diss., München, 1992, clmc (book)