Publikationen von C Widmer
Alle Typen
Zeitschriftenartikel (5)
1.
Zeitschriftenartikel
15 (11), S. 1328 - 1339 (2013)
Determinants of robustness in spindle assembly checkpoint signalling. Nature Cell Biology 2.
Zeitschriftenartikel
21 (2), S. 325 - 341 (2011)
A spatial and temporal map of C. elegans gene expression. Genome Research 3.
Zeitschriftenartikel
11, S. 1799 - 1802 (2010)
The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research 4.
Zeitschriftenartikel
58 (6), S. 1068 - 1082 (2009)
Stress-induced changes in the Arabidopsis thaliana transcriptome analyzed using whole-genome tiling arrays. The Plant Journal 5.
Zeitschriftenartikel
9 (7), R112 (2008)
At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology Konferenzbeitrag (7)
6.
Konferenzbeitrag
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)
7.
Konferenzbeitrag
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)
8.
Konferenzbeitrag
11 (Supplement 8), S7, (2010)
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 9.
Konferenzbeitrag
11 (Supplement 8), S5, (2010)
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 10.
Konferenzbeitrag
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)
11.
Konferenzbeitrag
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)
12.
Konferenzbeitrag
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)
Poster (1)
13.
Poster
Determinants for robustness in spindle assembly checkpoint signaling. 52nd Annual Meeting of the American Society for Cell Biology (ASCB 2013), New Orleans, LA, USA (2013)