Christian Widmer

19 papers B 1Misc 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2021 — conf
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis.
ICNLSP
Gerhard Hagerer, Dávid Szabó, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh
2021 J jnl
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis.
CoRR
Gerhard Hagerer, Dávid Szabó, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh
2021 Misc conf
Investigating Annotator Bias in Abusive Language Datasets.
RANLP
Maximilian Wich, Christian Widmer, Gerhard Hagerer, Georg Groh
2015 J jnl
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis.
CoRR
Christian Widmer, Marius Kloft, Vipin T. Sreedharan, Gunnar Rätsch
2014 J jnl
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.
Bioinform.
Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
2014 J jnl
Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging.
Künstliche Intell.
Christian Widmer, Marius Kloft, Xinghua Lou, Gunnar Rätsch
2014 — —
Regularization-based multitask learning with applications in computational biology.
Christian Widmer
2013 J jnl
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images.
CoRR
Christian Widmer, Philipp Drewe, Xinghua Lou, Shefali Umrania, Stephanie Heinrich, Gunnar Rätsch
2013 — conf
Multi-task Learning for Computational Biology: Overview and Outlook.
Empirical Inference
Christian Widmer, Marius Kloft, Gunnar Rätsch
2013 J jnl
Tapkee: an efficient dimension reduction library.
J. Mach. Learn. Res.
Sergey Lisitsyn, Christian Widmer, Fernando J. Iglesias Garcia
2012 — conf
Efficient Training of Graph-Regularized Multitask SVMs.
ECML/PKDD (1)
Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch
2012 — conf
Multitask Learning in Computational Biology.
ICML Unsupervised and Transfer Learning
Christian Widmer, Gunnar Rätsch
2011 — conf
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.
NIPS
Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch
2010 J jnl
Exploiting physico-chemical properties in string kernels.
BMC Bioinform.
Nora C. Toussaint, Christian Widmer, Oliver Kohlbacher, Gunnar Rätsch
2010 J jnl
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning.
BMC Bioinform.
Christian Widmer, Nora C. Toussaint, Yasemin Altun, Gunnar Rätsch
2010 B conf
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning.
RECOMB
Christian Widmer, Jose Leiva, Yasemin Altun, Gunnar Rätsch
2010 — conf
Novel Machine Learning Methods for MHC Class I Binding Prediction.
PRIB
Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch
2010 J jnl
The SHOGUN Machine Learning Toolbox.
J. Mach. Learn. Res.
Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc
2008 — conf
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis.
NIPS
Gabriele Beate Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch