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ORCIDChristian Widmer
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2020 – today
- 2021
[c9]Gerhard Hagerer, Dávid Szabó, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh:
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis. ICNLSP 2021: 186-195- [c8]Maximilian Wich, Christian Widmer, Gerhard Hagerer, Georg Groh:
Investigating Annotator Bias in Abusive Language Datasets. RANLP 2021: 1515-1525 - [i3]Gerhard Hagerer, Dávid Szabó, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh:
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis. CoRR abs/2111.02326 (2021)
2010 – 2019
- 2015
- [i2]Christian Widmer, Marius Kloft, Vipin T. Sreedharan, Gunnar Rätsch:
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis. CoRR abs/1506.09153 (2015) - 2014
- [b1]Christian Widmer:
Regularization-based multitask learning with applications in computational biology. Berlin Institute of Technology, 2014 - [j6]Christoph Lippert
, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten:
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. 30(22): 3206-3214 (2014) - [j5]Christian Widmer, Marius Kloft, Xinghua Lou, Gunnar Rätsch:
Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. Künstliche Intell. 28(1): 29-33 (2014) - 2013
- [j4]Sergey Lisitsyn, Christian Widmer, Fernando J. Iglesias Garcia:
Tapkee: an efficient dimension reduction library. J. Mach. Learn. Res. 14(1): 2355-2359 (2013) - [c7]Christian Widmer, Marius Kloft, Gunnar Rätsch:
Multi-task Learning for Computational Biology: Overview and Outlook. Empirical Inference 2013: 117-127 - [i1]Christian Widmer, Philipp Drewe, Xinghua Lou, Shefali Umrania, Stephanie Heinrich, Gunnar Rätsch:
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images. CoRR abs/1309.4426 (2013) - 2012
- [c6]Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch:
Efficient Training of Graph-Regularized Multitask SVMs. ECML/PKDD (1) 2012: 633-647 - [c5]Christian Widmer, Gunnar Rätsch:
Multitask Learning in Computational Biology. ICML Unsupervised and Transfer Learning 2012: 207-216 - 2011
- [c4]Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch:
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. NIPS 2011: 2690-2698 - 2010
- [j3]Christian Widmer, Nora C. Toussaint, Yasemin Altun, Gunnar Rätsch:
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. BMC Bioinform. 11(S-8): S5 (2010) - [j2]Nora C. Toussaint, Christian Widmer, Oliver Kohlbacher, Gunnar Rätsch:
Exploiting physico-chemical properties in string kernels. BMC Bioinform. 11(S-8): S7 (2010) - [j1]Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc:
The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. 11: 1799-1802 (2010) - [c3]Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch:
Novel Machine Learning Methods for MHC Class I Binding Prediction. PRIB 2010: 98-109 - [c2]Christian Widmer, Jose Leiva, Yasemin Altun, Gunnar Rätsch:
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. RECOMB 2010: 522-534
2000 – 2009
- 2008
- [c1]Gabriele Beate Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch:
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. NIPS 2008: 1433-1440
Coauthor Index
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