Widmer, C.; Kloft, M.; Görnitz, N.; Rätsch, G.: Efficient Training of Graph-Regularized Multitask SVMs. In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2012, S. 633 - 647 (Hg. Flach, P.; De Bie, T.; Cristianini, N.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK, 24. September 2012 - 28. September 2012. Springer, Berlin, Germany (2012)

Widmer, C.; Rätsch, G.: Multitask Learning in Computational Biology. In: ICML 2011 Unsupervised and Transfer Learning Workshop, S. 207 - 216 (Hg. Silver, D.; Guyon, I.; Taylor, G.; Dror, G.; Lemaire, V.). ICML 2011 Unsupervised and Transfer Learning Workshop, Bellevue, WA, USA, 02. Juli 2011. Curran, Red Hook, NY, USA (2012)

Toussaint, N.; Widmer, C.; Kohlbacher, O.; Rätsch, G.: Exploiting physico-chemical properties in string kernels. NIPS Workshop on Machine Learning in Computational Biology (MLCB 2019), Whistler, BC, Canada, 10. Dezember 2009 - 11. Dezember 2009. BMC Bioinformatics 11 (Supplement 8), S7, (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Rätsch, G.: Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. NIPS Workshop on Machine Learning in Computational Biology (MLCB 2019), Whistler, BC, Canada, 10. Dezember 2009 - 11. Dezember 2009. BMC Bioinformatics 11 (Supplement 8), S5, (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Kohlbacher, O.; Rätsch, G.: Novel Machine Learning Methods for MHC Class I Binding Prediction. In: PRIB 2010: Pattern Recognition in Bioinformatics, S. 98 - 109 (Hg. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, 22. September 2010 - 24. September 2010. Springer, Berlin, Germany (2010)

De Bona, F.; Riezler, S.; Hall, K.; Ciaramita, M.; Herdagdelen, A.; Holmqvist, M.: Learning Dense Models of Query Similarity from User Click Logs. In: 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), S. 29. 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), Los Angeles, CA, 01. Juni 2010 - 06. Juni 2010. (2010)

Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, S. 522 - 534 (Hg. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, 25. April 2010 - 28. April 2010. Springer, Berlin, Germany (2010)

Tsuda, K.; Georgii, E.: Dense module enumeration in biological networks. International Workshop on Statistical-Mechanical Informatics (IW-SMI 2009), Kyoto, Japan, 13. September 2009 - 16. September 2009. Journal of Physics: Conference Series 197 (1), 012012, (2009)

Schweikert, G.; Widmer, C.; Schölkopf, B.; Rätsch, G.: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. In: Advances in neural information processing systems 21, S. 1433 - 1440 (Hg. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, 08. Dezember 2008 - 10. Dezember 2008. Curran, Red Hook, NY, USA (2009)

Zien, A.; Krämer, N.; Sonnenburg, S.; Rätsch, G.: The Feature Importance Ranking Measure. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II, S. 694 - 709 (Hg. Buntine, W.; Grobelnik, M.; Mladenić, D.; Shawe-Taylor, J.). 16th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slovenia, 07. September 2009 - 11. September 2009. Springer, Berlin, Germany (2009)

Ong, C.; Zien, A.: An Automated Combination of Kernels for Predicting Protein Subcellular Localization. In: Algorithms in Bioinformatics: 8th International Workshop, WABI 2008, Karlsruhe, Germany, September 15-19, 2008, S. 186 - 197 (Hg. Krandall, K.; Lagergren, J.). 8th Workshop on Algorithms in Bioinformatics (WABI 2008), Karlsruhe, Germany, 15. September 2008 - 19. September 2008. Springer, Berlin, Germany (2008)

Warmuth, M.; Glocer, A.; Rätsch, G.: Boosting Algorithms for Maximizing the Soft Margin. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1264 - 1271 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)

Sonnenburg, S.; Zien, A.; Philips, P.; Rätsch, G.: POIMs: positional oligomer importance matrices: understanding support vector machine-based signal detectors. 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, 19. Juli 2008 - 23. Juli 2008. Bioinformatics 24 (13), S. i6 - i14 (2008)

Jones, F.; Brown, C.; Braithwaite, V.: Lack of Assortative Mating between Incipient Species of Stickleback from a Hybrid Zone. Fifth International Conference on Stickleback Behavior and Evolution, Anchorage, AL, USA, 30. Juli 2006 - 04. August 2006. Behaviour 145 (4-5), S. 463 - 484 (2008)

Zeller, G.; Henz, S.; Laubinger, S.; Weigel, D.; Rätsch, G.: Transcript normalization and segmentation of tiling array data. In: Pacific Symposium on Biocomputing (PSB 2008), S. 527 - 538. Pacific Symposium on Biocomputing (PSB 2008), Fairmont Orchid, HI, USA, 04. Januar 2008 - 08. Januar 2008. (2008)

Sonnenburg, S.; Schweikert, G.; Philips, P.; Behr, J.; Rätsch, G.: Accurate Splice site Prediction Using Support Vector Machines. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Whistler, Canada, 08. Dezember 2006. BMC Bioinformatics 8 (Supplement 10), S7, (2007)

Zien, A.; Brefeld, U.; Scheffer, T.: Transductive Support Vector Machines for Structured Variables. In: ICML '07: 24th International Conference on Machine Learning, S. 1183 - 1190 (Hg. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)

Zien, A.; Ong, C.: Multiclass Multiple Kernel Learning. In: ICML '07: 24th International Conference on Machine Learning, S. 1191 - 1198 (Hg. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)

Rätsch, G.; Hepp, B.; Schulze, U.; Ong, C.: PALMA: Perfect Alignments using Large Margin Algorithms. In: German Conference on Bioinformatics 2006 (GCB 2006), S. 104 - 113 (Hg. Huson, D.; Kohlbacher, O.; Lupas, A.; Nieselt, K.; Zell, A.). German Conference on Bioinformatics (GCB 2006), Tübingen, Germany, 19. September 2006 - 22. September 2006. Gesellschaft für Informatik, Bonn, Germany (2006)

Shin, H.; Hill, N.; Rätsch, G.; Rätsch, G.: Graph Based Semi-Supervised Learning with Sharper Edges. In: Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006, S. 401 - 412 (Hg. Fürnkranz, J.; Scheffer, T.; Spiliopoulou, M.). 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, 18. September 2006 - 22. September 2006. Springer, Berlin, Germany (2006)