Publications of C Widmer

Journal Article (2)

Journal Article
Sonnenburg, S.; Rätsch, G.; Henschel, S.; Widmer, C.; Behr, J.; Zien, A.; De Bona, F.; Binder, A.; Gehl, C.; Franc, V.: The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research 11, pp. 1799 - 1802 (2010)
Journal Article
Laubinger, S.; Zeller, G.; Henz, S.; Sachsenberg, T.; Widmer, C.; Naouar, N.; Vuylsteke, M.; Schölkopf, B.; Rätsch, G.; Weigel, D.: At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology 9 (7), R112, pp. 1 - 16 (2008)

Conference Paper (5)

Conference Paper
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, pp. 633 - 647 (Eds. 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, September 24, 2012 - September 28, 2012. Springer, Berlin, Germany (2012)
Conference Paper
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, December 10, 2009 - December 11, 2009. BMC Bioinformatics 11 (Supplement 8), S5, (2010)
Conference Paper
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, pp. 98 - 109 (Eds. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, September 22, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)
Conference Paper
Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, pp. 522 - 534 (Ed. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, April 25, 2010 - April 28, 2010. Springer, Berlin, Germany (2010)
Conference Paper
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, pp. 1433 - 1440 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)

Meeting Abstract (1)

Meeting Abstract
Schweikert, G.; Zeller, G.; Behr, J.; Zien, A.; Ong, C.; de Bona, F.; Sonnenburg, S.; Philips, P.; Rätsch, G.; Widmer, C.: mGene: A Novel Discriminative Gene Finding System. In 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), p. 20. 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. (2008)
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