Christian Widmer

According to our database1, Christian Widmer authored at least 18 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Investigating Annotator Bias in Abusive Language Datasets.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis.
Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

2015
Framework for Multi-task Multiple Kernel Learning and Applications in Genome Analysis.
CoRR, 2015

2014
Regularization-based multitask learning with applications in computational biology.
PhD thesis, 2014

Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging.
Künstliche Intell., 2014

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.
Bioinform., 2014

2013
Tapkee: an efficient dimension reduction library.
J. Mach. Learn. Res., 2013

GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images.
CoRR, 2013

Multi-task Learning for Computational Biology: Overview and Outlook.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Multitask Learning in Computational Biology.
Proceedings of the Unsupervised and Transfer Learning, 2012

Efficient Training of Graph-Regularized Multitask SVMs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
The SHOGUN Machine Learning Toolbox.
J. Mach. Learn. Res., 2010

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning.
BMC Bioinform., 2010

Exploiting physico-chemical properties in string kernels.
BMC Bioinform., 2010

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning.
Proceedings of the Research in Computational Molecular Biology, 2010

Novel Machine Learning Methods for MHC Class I Binding Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

2008
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


  Loading...