Karsten M. Borgwardt
Orcid: 0000-0001-7221-2393Affiliations:
- ETH Zurich, Department of Biosystems Science and Engineering
According to our database1,
Karsten M. Borgwardt
authored at least 119 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on bsse.ethz.ch
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on orcid.org
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on d-nb.info
On csauthors.net:
Bibliography
2024
2023
Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information.
Bioinform., December, 2023
Bioinform., January, 2023
Bioinform., 2023
ProteinShake: Building datasets and benchmarks for deep learning on protein structures.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Proceedings of the International Conference on Machine Learning, 2022
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning.
CoRR, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.
Proceedings of the Artificial Neural Networks - Third Edition., 2021
2020
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for <i>Arabidopsis thaliana</i>.
Nucleic Acids Res., 2020
Knowl. Inf. Syst., 2020
Found. Trends Mach. Learn., 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis.
CoRR, 2020
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra.
Bioinform., 2020
Prediction of cancer driver genes through network-based moment propagation of mutation scores.
Bioinform., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Data Min. Knowl. Discov., 2019
Machine learning for early prediction of circulatory failure in the intensive care unit.
CoRR, 2019
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis.
CoRR, 2019
CASMAP: detection of statistically significant combinations of SNPs in association mapping.
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping.
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Nucleic Acids Res., 2018
BMC Syst. Biol., 2018
Bioinform., 2018
Association mapping in biomedical time series via statistically significant shapelet mining.
Bioinform., 2018
2017
Nucleic Acids Res., 2017
Bioinform., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Finding significant combinations of features in the presence of categorical covariates.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
<i>In silico</i> phenotyping via co-training for improved phenotype prediction from genotype.
Bioinform., 2015
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits.
Bioinform., 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
2013
A Lasso multi-marker mixed model for association mapping with population structure correction.
Bioinform., 2013
Detecting regulatory gene-environment interactions with unmeasured environmental factors.
Bioinform., 2013
Bioinform., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the IJCAI 2013, 2013
2012
easyGWAS: An integrated interspecies platform for performing genome-wide association studies
CoRR, 2012
ShapePheno: unsupervised extraction of shape phenotypes from biological image collections.
Bioinform., 2012
2011
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.
Mach. Learn., 2011
BMC Bioinform., 2011
ccSVM: correcting Support Vector Machines for confounding factors in biological data classification.
Bioinform., 2011
Bioinform., 2011
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
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the Handbook of Statistical Bioinformatics., 2011
2010
Stat. Anal. Data Min., 2010
IEEE Geosci. Remote. Sens. Lett., 2010
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
J. Comput. Biol., 2010
Bioinform., 2010
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
Proceedings of the Research in Computational Molecular Biology, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series.
Proceedings of the German Conference on Bioinformatics 2009, 2009
2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
Graph Kernels For Disease Outcome Prediction From Protein-Protein Interaction Networks.
Proceedings of the Biocomputing 2007, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Mining and Learning with Graphs, 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Ausgezeichnete Informatikdissertationen 2007, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006
Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels.
Proceedings of the Biocomputing 2006, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
2005
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005