Gunnar Rätsch Vis

*	2009
60	EE	Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709
59	EE	Sebastian J. Schultheiß, Wolfgang Busch, Jan Lohmann, Oliver Kohlbacher, Gunnar Rätsch: KIRMES: kernel-based identification of regulatory modules in euchromatic sequences. Bioinformatics 25(16): 2126-2133 (2009)
58	EE	Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rätsch, Bernhard Schölkopf: Prototype Classification: Insights from Machine Learning. Neural Computation 21(1): 272-300 (2009)
57	EE	Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research 37(Web-Server-Issue): 312-316 (2009)
	2008
56	EE	Fabio De Bona, Stephan Ossowski, Korbinian Schneeberger, Gunnar Rätsch: Optimal spliced alignments of short sequence reads. ECCB 2008: 174-180
55		Sebastian J. Schultheiß, Wolfgang Busch, Jan Lohmann, Oliver Kohlbacher, Gunnar Rätsch: KIRMES: Kernel-based Identification of Regulatory Modules in Euchromatic Sequences. German Conference on Bioinformatics 2008: 158-167
54	EE	Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch: POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14
53	EE	Gabriele Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. NIPS 2008: 1433-1440
52	EE	Georg Zeller, Stefan R. Henz, Sascha Laubinger, Detlef Weigel, Gunnar Rätsch: Transcript Normalization and Segmentation of Tiling Array Data. Pacific Symposium on Biocomputing 2008: 527-538
51	EE	Fabio De Bona, Stephan Ossowski, Korbinian Schneeberger, Gunnar Rätsch: Optimal spliced alignments of short sequence reads. BMC Bioinformatics 9(S-10): (2008)
50	EE	Regina Bohnert, Georg Zeller, Richard M. Clark, Kevin L. Childs, Victor Jun M. Ulat, Renee Stokowski, Dennis Ballinger, Kelly Frazer, David Cox, Richard M. Bruskiewich, C. Robin Buell, Jan Leach, Hei Leung, Kenneth L. McNally, Detlef Weigel, Gunnar Rätsch: Revealing sequence variation patterns in rice with machine learning methods. BMC Bioinformatics 9(S-10): (2008)
	2007
49	EE	Manfred K. Warmuth, Karen A. Glocer, Gunnar Rätsch: Boosting Algorithms for Maximizing the Soft Margin. NIPS 2007
48	EE	Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch: Accurate splice site prediction using support vector machines. BMC Bioinformatics 8(S-10): (2007)
47	EE	Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda: NIPS workshop on New Problems and Methods in Computational Biology. BMC Bioinformatics 8(S-10): (2007)
46	EE	Uta Schulze, Bettina Hepp, Cheng Soon Ong, Gunnar Rätsch: PALMA: mRNA to genome alignments using large margin algorithms. Bioinformatics 23(15): 1892-1900 (2007)
	2006
45	EE	Gunnar Rätsch: Solving Semi-infinite Linear Programs Using Boosting-Like Methods. ALT 2006: 10-11
44	EE	Gunnar Rätsch: The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods. Discovery Science 2006: 15
43	EE	Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch: Graph Based Semi-supervised Learning with Sharper Edges. ECML 2006: 401-412
42	EE	Manfred K. Warmuth, Jun Liao, Gunnar Rätsch: Totally corrective boosting algorithms that maximize the margin. ICML 2006: 1001-1008
41	EE	Sören Sonnenburg, Alexander Zien, Gunnar Rätsch: ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480
40	EE	Gunnar Rätsch, Sören Sonnenburg: Large Scale Hidden Semi-Markov SVMs. NIPS 2006: 1161-1168
39	EE	Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics 7(S-1): (2006)
38	EE	Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006)
	2005
37	EE	Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855
36	EE	Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377
35	EE	Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: A General and Efficient Multiple Kernel Learning Algorithm. NIPS 2005
34	EE	Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005: 389-407
33	EE	Koji Tsuda, Gunnar Rätsch: Image reconstruction by linear programming. IEEE Transactions on Image Processing 14(6): 737-744 (2005)
32	EE	Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich: Classifying 'Drug-likeness' with Kernel-Based Learning Methods. Journal of Chemical Information and Modeling 45(2): 249-253 (2005)
31	EE	Gunnar Rätsch, Manfred K. Warmuth: Efficient Margin Maximizing with Boosting. Journal of Machine Learning Research 6: 2131-2152 (2005)
30	EE	Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth: Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. Journal of Machine Learning Research 6: 995-1018 (2005)
	2004
29		Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch: Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures Springer 2004
28	EE	Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth: Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. NIPS 2004
	2003
27	EE	Koji Tsuda, Gunnar Rätsch: Image Reconstruction by Linear Programming. NIPS 2003
26	EE	Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 623-633 (2003)
25	EE	Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Michael Mathieson, Santosh Putta, Christian Lemmen: Active Learning with Support Vector Machines in the Drug Discovery Process. Journal of Chemical Information and Computer Sciences 43(2): 667-673 (2003)
	2002
24	EE	Gunnar Rätsch, Manfred K. Warmuth: Maximizing the Margin with Boosting. COLT 2002: 334-350
23	EE	Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller: New Methods for Splice Site Recognition. ICANN 2002: 329-336
22	EE	Ron Meir, Gunnar Rätsch: An Introduction to Boosting and Leveraging. Machine Learning Summer School 2002: 118-183
21	EE	Gunnar Rätsch, Alexander J. Smola, Sebastian Mika: Adapting Codes and Embeddings for Polychotomies. NIPS 2002: 513-520
20	EE	Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller: Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1184-1199 (2002)
19		Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett: Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Machine Learning 48(1-3): 189-218 (2002)
18	EE	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002)
	2001
17	EE	Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller: Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN 2001: 331-338
16	EE	Manfred K. Warmuth, Gunnar Rätsch, Michael Mathieson, Jun Liao, Christian Lemmen: Active Learning in the Drug Discovery Process. NIPS 2001: 1449-1456
15	EE	Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth: On the Convergence of Leveraging. NIPS 2001: 487-494
14	EE	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984
13		Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Soft Margins for AdaBoost. Machine Learning 42(3): 287-320 (2001)
	2000
12		Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller: Barrier Boosting. COLT 2000: 170-179
11		Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller: A Mathematical Programming Approach to the Kernel Fisher Algorithm. NIPS 2000: 591-597
10		Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller: Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344
9		Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller: Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics 16(9): 799-807 (2000)
	1999
8		Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alex J. Smola, Thomas Lengauer, Klaus-Robert Müller: Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics 1999: 37-43
7	EE	Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Invariant Feature Extraction and Classification in Kernel Spaces. NIPS 1999: 526-532
6	EE	Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika: v-Arc: Ensemble Learning in the Presence of Outliers. NIPS 1999: 561-567
5	EE	Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10(5): 1000-1017 (1999)
	1998
4		Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: An Improvement of AdaBoost to Avoid Overfitting. ICONIP 1998: 506-509
3	EE	Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch: Kernel PCA and De-Noising in Feature Spaces. NIPS 1998: 536-542
2	EE	Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller: Regularizing AdaBoost. NIPS 1998: 564-570
	1997
1		Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik: Predicting Time Series with Support Vector Machines. ICANN 1997: 999-1004

Coauthor Index

1	Dennis Ballinger	[50]
2	Jonas Behr	[48] [57]
3	Kristin P. Bennett	[19]
4	Regina Bohnert	[50]
5	Fabio De Bona	[51] [56]
6	Olivier Bousquet	[29] [58]
7	Richard M. Bruskiewich	[50]
8	C. Robin Buell	[50]
9	Christopher J. C. Burges (Chris Burges)	[5]
10	Wolfgang Busch	[55] [59]
11	Gal Chechik	[47]
12	Kevin L. Childs	[50]
13	Richard M. Clark	[50]
14	David Cox	[50]
15	Ayhan Demiriz	[19]
16	Kelly Frazer	[50]
17	Karen A. Glocer	[49]
18	Arnulf B. A. Graf	[58]
19	Michael Grimm	[32]
20	Nikolaus Heinrich	[32]
21	Stefan R. Henz	[52]
22	Bettina Hepp	[46]
23	N. Jeremy Hill	[43]
24	Arun K. Jagota	[23]
25	Motoaki Kawanabe	[14] [18]
26	Phil Knirsch	[5]
27	Oliver Kohlbacher	[55] [59]
28	Jens Kohlmorgen	[1]
29	Nicole Krämer	[60]
30	Sascha Laubinger	[52]
31	Jan Leach	[50]
32	Steven Lemm	[12]
33	Christian Lemmen	[8] [16] [25]
34	Thomas Lengauer	[8] [9]
35	Christina S. Leslie	[47]
36	Hei Leung	[50]
37	Jun Liao	[16] [25] [42]
38	Jan Lohmann	[55] [59]
39	Ulrike von Luxburg	[29]
40	Michael Mathieson	[16] [25]
41	Kenneth L. McNally	[50]
42	Ron Meir (Ronny Meir)	[22]
43	Sebastian Mika	[3] [5] [6] [7] [8] [9] [10] [11] [12] [15] [17] [20] [21] [26] [32]
44	Quaid Morris	[47]
45	Klaus-Robert Müller	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [17] [18] [20] [23] [26] [32]
46	William Stafford Noble	[47]
47	Cheng Soon Ong	[46] [57]
48	Takashi Onoda	[2] [4] [6] [10] [12] [13]
49	Stephan Ossowski	[51] [56]
50	Petra Philips	[48] [54]
51	Santosh Putta	[25]
52	Christin Schäfer	[34] [35] [38] [39]
53	Korbinian Schneeberger	[51] [56]
54	Bernhard Schölkopf	[1] [3] [5] [6] [7] [8] [9] [10] [20] [26] [36] [37] [38] [53] [58]
55	Matthias Scholz	[3]
56	Sebastian J. Schultheiß	[55] [59]
57	Uta Schulze	[46]
58	Gabriele Schweikert	[48] [53] [57]
59	Hyunjung Shin (Hyunjung (Helen) Shin)	[43]
60	Alexander J. Smola (Alex J. Smola)	[1] [3] [5] [6] [7] [8] [10] [21] [26]
61	Sören Sonnenburg	[14] [18] [23] [32] [34] [35] [36] [37] [38] [39] [40] [41] [48] [54] [57] [60]
62	Renee Stokowski	[50]
63	Koji Tsuda	[14] [17] [18] [27] [28] [30] [33] [47]
64	Victor Jun M. Ulat	[50]
65	Vladimir Vapnik	[1]
66	Manfred K. Warmuth	[12] [15] [16] [24] [25] [28] [30] [31] [42] [49]
67	Detlef Weigel	[50] [52]
68	Jason Weston	[7] [26]
69	Christian Widmer	[53]
70	Georg Zeller	[50] [52] [57]
71	Alexander Zien	[8] [9] [41] [54] [57] [60]

Colors in the list of coauthors