Gebhard, T., Kilbertus, N., Harry, I., Schölkopf, B.
Convolutional neural networks: A magic bullet for gravitational-wave detection?
Physical Review D, 100(6):063015, American Physical Society, September 2019 (article)
Babbar, R., Schölkopf, B.
Data scarcity, robustness and extreme multi-label classification
Machine Learning, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (article)
Aghaeifar, A., Zhou, J., Heule, R., Tabibian, B., Schölkopf, B., Jia, F., Zaitsev, M., Scheffler, K.
A 32-channel multi-coil setup optimized for human brain shimming at 9.4T
Magnetic Resonance in Medicine, 2019, (Early View) (article)
Lim, J. N., Yamada, M., Jitkrittum, W., Terada, Y., Matsui, S., Shimodaira, H.
More Powerful Selective Kernel Tests for Feature Selection
2019 (misc) Submitted
Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., Xian, R. P.
Multidimensional Contrast Limited Adaptive Histogram Equalization
IEEE Access, 7, pages: 165437-165447, 2019 (article)
Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M.
Enhancing Human Learning via Spaced Repetition Optimization
Proceedings of the National Academy of Sciences, 2019, PNAS published ahead of print January 22, 2019 (article)
Büchler, D., Calandra, R., Peters, J.
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
2019 (article) Submitted
Park, M., Jitkrittum, W.
ABCDP: Approximate Bayesian Computation Meets Differential Privacy
2019 (misc) Submitted
Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M., van Nes, E., Peters, J., Quax, R., Reichstein, M., Scheffer, M. S. B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., Zscheischler, J.
Inferring causation from time series with perspectives in Earth system sciences
Nature Communications, 2019 (article) In revision
Gomez-Gonzalez, S., Nemmour, Y., Schölkopf, B., Peters, J.
Reliable Real-Time Ball Tracking for Robot Table Tennis
Robotics, 8(4):90, 2019 (article)
Koc, O., Maeda, G., Peters, J.
Optimizing the Execution of Dynamic Robot Movements With Learning Control
IEEE Transactions on Robotics, pages: 1-16, 2019 (article)
Koc, O., Peters, J.
Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework
IEEE Robotics and Automation Letters, 4(2):1784-1791, 2019 (article)
Klus, S., Schuster, I., Muandet, K.
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces
Journal of Nonlinear Science, 2019, First Online: 21 August 2019 (article)
Nicastro, G., Habeck, M., Masino, L., Svergun, DI., Pastore, A.
Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation
Journal of Biomolecular NMR, 36(4):267-277, December 2006 (article)
Franz, M., Schölkopf, B.
A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression
Neural Computation, 18(12):3097-3118, December 2006 (article)
Jäkel, F., Wichmann, F.
Spatial four-alternative forced-choice method is the preferred psychophysical method for naive
observers
Journal of Vision, 6(11):1307-1322, November 2006 (article)
Pfingsten, T., Glien, K.
Statistical Analysis of Slow Crack Growth
Experiments
Journal of the European Ceramic Society, 26(15):3061-3065, November 2006 (article)
Martens, SMM., Mischi, M., Oei, SG., Bergmans, JWM.
An Improved Adaptive Power Line Interference Canceller for Electrocardiography
IEEE Transactions on Biomedical Engineering, 53(11):2220-2231, November 2006 (article)
Balduzzi, D.
Donagi-Markman cubic for Hitchin systems
Mathematical Research Letters, 13(6):923-933, November 2006 (article)
Hamada, M., Tsuda, K., Kudo, T., Kin, T., Asai, K.
Mining frequent stem patterns from unaligned RNA sequences
Bioinformatics, 22(20):2480-2487, October 2006 (article)
Aigner, T., Fundel, K., Saas, J., Gebhard, P., Haag, J., Weiss, T., Zien, A., Obermayr, F., Zimmer, R., Bartnik, E.
Large-Scale Gene Expression Profiling Reveals Major Pathogenetic Pathways of Cartilage Degeneration in Osteoarthritis
Arthritis and Rheumatism, 54(11):3533-3544, October 2006 (article)
Walder, C., Schölkopf, B., Chapelle, O.
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support
Computer Graphics Forum, 25(3):635-644, September 2006 (article)
Harmeling, S., Dornhege, G., Tax, D., Meinecke, F., Müller, K.
From outliers to prototypes: Ordering data
Neurocomputing, 69(13-15):1608-1618, August 2006 (article)
Davy, M., Desobry, F., Gretton, A., Doncarli, C.
An Online Support Vector Machine for Abnormal Events Detection
Signal Processing, 86(8):2009-2025, August 2006 (article)
Borgwardt, K., Gretton, A., Rasch, M., Kriegel, H., Schölkopf, B., Smola, A.
Integrating Structured Biological data by Kernel Maximum Mean Discrepancy
Bioinformatics, 22(4: ISMB 2006 Conference Proceedings):e49-e57, August 2006 (article)
Bousquet, O., Schölkopf, B.
Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz
Statistical Science, 21(3):337-340, August 2006 (article)
Collobert, R., Sinz, F., Weston, J., Bottou, L.
Large Scale Transductive SVMs
Journal of Machine Learning Research, 7, pages: 1687-1712, August 2006 (article)
Keerthi, S., Chapelle, O., DeCoste, D.
Building Support Vector Machines with Reduced Classifier Complexity
Journal of Machine Learning Research, 7, pages: 1493-1515, July 2006 (article)
Sonnenburg, S., Zien, A., Rätsch, G.
ARTS: Accurate Recognition of Transcription Starts in Human
Bioinformatics, 22(14):e472-e480, July 2006 (article)
Sonnenburg, S., Rätsch, G., Schäfer, C., Schölkopf, B.
Large Scale Multiple Kernel Learning
Journal of Machine Learning Research, 7, pages: 1531-1565, July 2006 (article)
Bethge, M.
Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?
Journal of the Optical Society of America A, 23(6):1253-1268, June 2006 (article)
Hill, N., Lal, T., Schröder, M., Hinterberger, T., Wilhelm, B., Nijboer, F., Mochty, U., Widman, G., Elger, C., Schölkopf, B., Kübler, A., Birbaumer, N.
Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2):183-186, June 2006 (article)
Tabei, Y., Tsuda, K., Kin, T., Asai, K.
SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments
Bioinformatics, 22(14):1723-1729, May 2006 (article)
Shin, H., Cho, S.
Response Modeling with Support Vector Machines
Expert Systems with Applications, 30(4):746-760, May 2006 (article)
Saigo, H., Vert, J., Akutsu, T.
Optimizing amino acid substitution matrices with a local alignment kernel
BMC Bioinformatics, 7(246):1-12, May 2006 (article)
Gretton, A., Belitski, A., Murayama, Y., Schölkopf, B., Logothetis, N.
The Effect of Artifacts on Dependence Measurement in fMRI
Magnetic Resonance Imaging, 24(4):401-409, April 2006 (article)
Renner, M., Stark, S.
Einer für viele: Ein Linux-PC bedient mehrere Arbeitsplätze
c‘t, 2006(10):228-235, April 2006 (article)
Wichmann, F., Braun, D., Gegenfurtner, K.
Phase noise and the classification of natural images
Vision Research, 46(8-9):1520-1529, April 2006 (article)
Danziger, S., Swamidass, S., Zeng, J., Dearth, L., Lu, Q., Cheng, J., Cheng, J., Hoang, V., Saigo, H., Luo, R., Baldi, P., Brachmann, R., Lathrop, R.
Functional census of mutation sequence spaces: The example of p53 cancer rescue mutants
IEEE Transactions on Computational Biology and Bioinformatics, 3(2):114-125, April 2006 (article)
Wu, M., Schölkopf, B., BakIr, G.
A Direct Method for Building Sparse Kernel Learning Algorithms
Journal of Machine Learning Research, 7, pages: 603-624, April 2006 (article)
Vishwanathan, SVN., Borgwardt, KM., Guttman, O., Smola, AJ.
Kernel extrapolation
Neurocomputing, 69(7-9):721-729, March 2006 (article)
Blanchard, G., Bousquet, O., Zwald, L.
Statistical Properties of Kernel Principal Component Analysis
Machine Learning, 66(2-3):259-294, March 2006 (article)
Kato, T., Murata, Y., Miura, K., Asai, K., Horton, P., Tsuda, K., Fujibuchi, W.
Network-based de-noising improves prediction from microarray data
BMC Bioinformatics, 7(Suppl. 1):S4-S4, March 2006 (article)
Cho, S., Shin, H., Yu, E., Ha, K., MacLachlan, D.
Data mining problems and solutions for response modeling in CRM
Entrue Journal of Information Technology, 5(1):55-64, March 2006 (article)
Pfingsten, T., Herrmann, D., Rasmussen, C.
Model-based Design Analysis and Yield Optimization
IEEE Transactions on Semiconductor Manufacturing, 19(4):475-486, February 2006 (article)
Jegelka, S., Bednar, J., Miikkulainen, R.
Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1
Neurocomputing, 69(10-12):1291-1296, February 2006 (article)
Habeck, M., Rieping, W., Nilges, M.
Weighting of experimental evidence in macromolecular structure determination
Proceedings of the National Academy of Sciences of the United States of America, 103(6):1756-1761, February 2006 (article)
Cheng, J., Saigo, H., Baldi, P.
Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching
Proteins, 62(3):617-629, February 2006 (article)
Grosse-Wentrup, M., Buss, M.
Subspace identification through blind source separation
IEEE Signal Processing Letters, 13(2):100-103, February 2006 (article)