An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. - Gabriele Beate Schweikert; Christian Widmer; Bernhard Schölkopf; Gunnar Rätsch (NIPS, 2008)

Novel Machine Learning Methods for MHC Class I Binding Prediction. - Christian Widmer; Nora C. Toussaint; Yasemin Altun; Oliver Kohlbacher; Gunnar Rätsch (PRIB, 2010)

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. - Christian Widmer; Jose Leiva; Yasemin Altun; Gunnar Rätsch (RECOMB, 2010)

Exploiting physico-chemical properties in string kernels. - Nora C. Toussaint; Christian Widmer; Oliver Kohlbacher; Gunnar Rätsch (BMC Bioinform., 2010)

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. - Christian Widmer; Nora C. Toussaint; Yasemin Altun; Gunnar Rätsch (BMC Bioinform., 2010)

The SHOGUN Machine Learning Toolbox. - Sören Sonnenburg; Gunnar Rätsch; Sebastian Henschel; Christian Widmer; Jonas Behr; Alexander Zien; Fabio De Bona; Alexander Binder; Christian Gehl; Vojtech Franc (J. Mach. Learn. Res., 2010)

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. - Nico Görnitz; Christian Widmer; Georg Zeller; André Kahles; Sören Sonnenburg; Gunnar Rätsch (NIPS, 2011)

Efficient Training of Graph-Regularized Multitask SVMs. - Christian Widmer; Marius Kloft; Nico Görnitz; Gunnar Rätsch (ECML/PKDD (1), 2012)

Multitask Learning in Computational Biology. - Christian Widmer; Gunnar Rätsch (ICML Unsupervised and Transfer Learning, 2012)

Multi-task Learning for Computational Biology: Overview and Outlook. - Christian Widmer; Marius Kloft; Gunnar Rätsch (Empirical Inference, 2013)

GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images. - Christian Widmer; Philipp Drewe; Xinghua Lou; Shefali Umrania; Stephanie Heinrich; Gunnar Rätsch (CoRR, 2013)

Tapkee: an efficient dimension reduction library. - Sergey Lisitsyn; Christian Widmer; Fernando J. Iglesias Garcia (J. Mach. Learn. Res., 2013)

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. - Christoph Lippert; Jing Xiang; Danilo Horta; Christian Widmer; Carl Myers Kadie; David Heckerman; Jennifer Listgarten (Bioinform., 2014)

Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. - Christian Widmer; Marius Kloft; Xinghua Lou; Gunnar Rätsch (Künstliche Intell., 2014)

Regularization-based multitask learning with applications in computational biology. - Christian Widmer (2014)

Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis. - Christian Widmer; Marius Kloft; Vipin T. Sreedharan; Gunnar Rätsch (CoRR, 2015)

End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis. - Gerhard Hagerer; Dávid Szabó; Andreas Koch; Maria Luisa Ripoll Dominguez; Christian Widmer; Maximilian Wich; Hannah Danner; Georg Groh (ICNLSP, 2021)

Investigating Annotator Bias in Abusive Language Datasets. - Maximilian Wich; Christian Widmer; Gerhard Hagerer; Georg Groh (RANLP, 2021)