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Karsten M. Borgwardt · SciRah

Researcher profile · Semantic Scholar

Karsten M. Borgwardt

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Karsten M. Borgwardt — researcher profile on SciRah

h-index: 66
Works: 214
Citations: 36K

Most-cited papers

1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana
C. Alonso-Blanco, Jorge Andrade, C. Becker, Felix Bemm +52 more
2016Cell1,116 citations Open access
Semantic Scholar
Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L. Hyland, M. Faltys, Matthias Hüser, Xinrui Lyu +11 more
2020Nature Medicine476 citations
Semantic Scholar
Structure-Aware Transformer for Graph Representation Learning
De-Xiong Chen, Leslie O’Bray, Karsten M. Borgwardt
2022International Conference on Machine Learning404 citations
Semantic Scholar
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning
C. Weis, A. Cuénod, Bastian Alexander Rieck, Felipe Llinares-López +9 more
2020Nature Medicine251 citations Open access
Semantic Scholar
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, M. Ghisu, Felipe Llinares-López, Bastian Alexander Rieck +1 more
2019Neural Information Processing Systems247 citations
Semantic Scholar
Biological network analysis with deep learning
Giulia Muzio, Leslie O’Bray, Karsten M. Borgwardt
2020Briefings Bioinform.240 citations Open access
Semantic Scholar
Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review
Michael Moor, Bastian Alexander Rieck, Max Horn, C. Jutzeler +1 more
2020Frontiers in Medicine239 citations Open access
Semantic Scholar
Set Functions for Time Series
Max Horn, Michael Moor, Christian Bock, Bastian Alexander Rieck +1 more
2019International Conference on Machine Learning234 citations
Semantic Scholar
Topological Autoencoders
Michael Moor, Max Horn, Bastian Alexander Rieck, Karsten M. Borgwardt
2019International Conference on Machine Learning233 citations
Semantic Scholar
Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review.
C. Weis, C. Jutzeler, Karsten M. Borgwardt
2020Clinical Microbiology and Infection170 citations Open access
Semantic Scholar
Weisfeiler and Leman go Machine Learning: The Story so far
Christopher Morris, Y. Lipman, Haggai Maron, Bastian Alexander Rieck +4 more
2021Journal of machine learning research168 citations
Semantic Scholar
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Alexander Rieck, Matteo Togninalli, Christian Bock, Michael Moor +3 more
2018International Conference on Learning Representations153 citations
Semantic Scholar
Topological Graph Neural Networks
Max Horn, Edward De Brouwer, Michael Moor, Y. Moreau +2 more
2021International Conference on Learning Representations152 citations
Semantic Scholar
Comorbidities, clinical signs and symptoms, laboratory findings, imaging features, treatment strategies, and outcomes in adult and pediatric patients with COVID-19: A systematic review and meta-analysis
C. Jutzeler, L. Bourguignon, Caroline Weis, Bo-Bo Tong +7 more
2020medRxiv148 citations Open access
Semantic Scholar
Graph Kernels: State-of-the-Art and Future Challenges
Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-L'opez, Leslie O’Bray +1 more
2020Found. Trends Mach. Learn.133 citations Open access
Semantic Scholar
Predicting sepsis using deep learning across international sites: a retrospective development and validation study
Michael Moor, Nicolas Bennett, Drago Plečko, Max Horn +4 more
2023EClinicalMedicine113 citations Open access
Semantic Scholar
easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies[OPEN]
D. Grimm, D. Roqueiro, P. Salomé, Stefan Kleeberger +8 more
2016The Plant Cell106 citations Open access
Semantic Scholar
A Persistent Weisfeiler-Lehman Procedure for Graph Classification
Bastian Alexander Rieck, Christian Bock, Karsten M. Borgwardt
2019International Conference on Machine Learning100 citations
Semantic Scholar
The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog
Matteo Togninalli, Ümit Seren, Dazhe Meng, J. Fitz +5 more
2017Nucleic Acids Res.87 citations Open access
Semantic Scholar
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Michael Moor, Max Horn, Bastian Alexander Rieck, D. Roqueiro +1 more
2019Machine Learning in Health Care84 citations
Semantic Scholar
Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis
Jannis Born, Nina Wiedemann, M. Cossio, Charlotte Buhre +6 more
2020Applied Sciences80 citations Open access
Semantic Scholar
RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection
K. Avican, Jehad Aldahdooh, Matteo Togninalli, A. K. M. Firoj Mahmud +4 more
2020Nature Communications78 citations Open access
Semantic Scholar
Accelerating detection of lung pathologies with explainable ultrasound image analysis
Jannis Born, Nina Wiedemann, M. Cossio, Charlotte Buhre +6 more
202175 citations
Semantic Scholar
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Bastian Alexander Rieck, T. Yates, Christian Bock, Karsten M. Borgwardt +3 more
2020Neural Information Processing Systems74 citations
Semantic Scholar
Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids
Danelle K. Seymour, E. Chae, D. Grimm, Carmen Martín Pizarro +6 more
2016Proceedings of the National Academy of Sciences of the United States of America66 citations Open access
Semantic Scholar
Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping
Simone Hollerer, Laetitia Papaxanthos, Anja C. Gumpinger, K. Fischer +4 more
2020Nature Communications60 citations Open access
Semantic Scholar
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Leslie O’Bray, Max Horn, Bastian Alexander Rieck, Karsten M. Borgwardt
2021International Conference on Learning Representations58 citations
Semantic Scholar
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana
Matteo Togninalli, Ümit Seren, Jan A. Freudenthal, J. Monroe +6 more
2019Nucleic Acids Res.56 citations Open access
Semantic Scholar
Kernelized rank learning for personalized drug recommendation
Xiao He, Lukas Folkman, Karsten M. Borgwardt
2017Bioinform.56 citations Open access
Semantic Scholar
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre +2 more
2020arXiv.org47 citations
Semantic Scholar
graphkernels: R and Python packages for graph comparison
M. Sugiyama, M. E. Ghisu, Felipe Llinares-López, Karsten M. Borgwardt
2017Bioinform.42 citations Open access
Semantic Scholar
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Matteo Togninalli, Xu Wang, Tim Kucera, S. Shrestha +9 more
2023Bioinform.40 citations Open access
Semantic Scholar
Filtration Curves for Graph Representation
Leslie O’Bray, Bastian Alexander Rieck, Karsten M. Borgwardt
2021Knowledge Discovery and Data Mining40 citations Open access
Semantic Scholar
Genomic Profiles of Diversification and Genotype-Phenotype Association in Island Nematode Lineages.
A. McGaughran, C. Rödelsperger, D. Grimm, Jan M. Meyer +7 more
2016Molecular biology and evolution38 citations Open access
Semantic Scholar
Aberrant working memory processing in major depression: evidence from multivoxel pattern classification
M. Gärtner, M. Elisabetta Ghisu, M. Scheidegger, Luisa Bönke +11 more
2018Neuropsychopharmacology37 citations Open access
Semantic Scholar
Prediction of cancer driver genes through network-based moment propagation of mutation scores
Anja C. Gumpinger, K. Lage, Heiko Horn, Karsten M. Borgwardt
2020Bioinform.33 citations Open access
Semantic Scholar
Finding significant combinations of features in the presence of categorical covariates
Laetitia Papaxanthos, Felipe Llinares-López, D. Bodenham, Karsten M. Borgwardt
2016Neural Information Processing Systems33 citations
Semantic Scholar
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra
Caroline Weis, Max Horn, Bastian Alexander Rieck, A. Cuénod +2 more
2020Bioinform.30 citations Open access
Semantic Scholar
reComBat: batch-effect removal in large-scale multi-source gene-expression data integration
Michael F. Adamer, S. Brüningk, A. Tejada-Arranz, Fabienne Estermann +2 more
2021bioRxiv26 citations Open access
Semantic Scholar
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Christian Bock, Michael Moor, C. Jutzeler, Karsten M. Borgwardt
2021Artificial Neural Networks, 3rd Edition23 citations
Semantic Scholar
Faculty Opinions recommendation of Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection.
Karsten M. Borgwardt
2019Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature23 citations
Semantic Scholar
Using routine MRI data of depressed patients to predict individual responses to electroconvulsive therapy.
M. Gärtner, Elisabetta Ghisu, A. Herrera-Meléndez, M. Koslowski +8 more
2020Experimental Neurology17 citations
Semantic Scholar
Genome-wide genetic heterogeneity discovery with categorical covariates
Felipe Llinares-López, Laetitia Papaxanthos, D. Bodenham, D. Roqueiro +2 more
2017Bioinform.17 citations Open access
Semantic Scholar
Supplementary Materials for Association Mapping in Biomedical Time Series via Statistically Significant Shapelet Mining
Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Alexander Rieck +2 more
201816 citations
Semantic Scholar
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
De-Xiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
2022International Conference on Learning Representations15 citations Open access
Semantic Scholar
PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via reinforcement learning
Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow +2 more
201915 citations
Semantic Scholar
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
Michael Moor, Max Horn, Bastian Alexander Rieck, D. Roqueiro +1 more
2019arXiv.org15 citations
Semantic Scholar
Multi-view Spectral Clustering on Conflicting Views
Xiao He, Li-Min Li, D. Roqueiro, Karsten M. Borgwardt
2017ECML/PKDD14 citations
Semantic Scholar
The magnitude vector of images
Michael F. Adamer, Leslie O’Bray, Edward De Brouwer, Bastian Alexander Rieck +1 more
2021Journal of Applied and Computational Topology13 citations Open access
Semantic Scholar
CASMAP: detection of statistically significant combinations of SNPs in association mapping
Felipe Llinares-López, Laetitia Papaxanthos, D. Roqueiro, D. Bodenham +1 more
2018Bioinform.13 citations Open access
Semantic Scholar

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