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Bastian Pfeifer

Showing results (11-20 of 24) with videos related to

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Scientific Reports|September 18, 2024
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loopChristian Hausleitner, Heimo Mueller, Andreas Holzinger, et al.
Journal of Biomedical Informatics|September 30, 2023
Embedding-based terminology expansion via secondary use of large clinical real-world datasetsAmila Kugic, Bastian Pfeifer, Stefan Schulz, et al.
Bioinformatics (Oxford, England)|October 26, 2024
Detection and quantification of introgression using Bayesian inference based on conjugate priorsBastian Pfeifer, Durrell D Kapan, Sereina A Herzog
Journal of Biomedical Informatics|May 31, 2023
Parea: Multi-view ensemble clustering for cancer subtype discoveryBastian Pfeifer, Marcus D Bloice, Michael G Schimek
Molecular Ecology Resources|July 9, 2020
Genome scans for selection and introgression based on k-nearest neighbour techniquesBastian Pfeifer, Nikolaos Alachiotis, Pavlos Pavlidis, et al.
Scientific Reports|October 7, 2022
Multi-omics disease module detection with an explainable Greedy Decision ForestBastian Pfeifer, Hubert Baniecki, Anna Saranti, et al.
Molecular Biology and Evolution|April 18, 2014
PopGenome: an efficient Swiss army knife for population genomic analyses in RBastian Pfeifer, Ulrich Wittelsbürger, Sebastian E Ramos-Onsins, et al.
Bioinformatics (Oxford, England)|September 4, 2024
Federated unsupervised random forest for privacy-preserving patient stratificationBastian Pfeifer, Christel Sirocchi, Marcus D Bloice, et al.
Kunstliche Intelligenz|January 2, 2023
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-GraphsBettina Finzel, Anna Saranti, Alessa Angerschmid, et al.
Journal of Biomedical Informatics|February 1, 2024
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networksJacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Scientific Reports|September 18, 2024
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loopChristian Hausleitner, Heimo Mueller, Andreas Holzinger, et al.
Journal of Biomedical Informatics|September 30, 2023
Embedding-based terminology expansion via secondary use of large clinical real-world datasetsAmila Kugic, Bastian Pfeifer, Stefan Schulz, et al.
Bioinformatics (Oxford, England)|October 26, 2024
Detection and quantification of introgression using Bayesian inference based on conjugate priorsBastian Pfeifer, Durrell D Kapan, Sereina A Herzog
Journal of Biomedical Informatics|May 31, 2023
Parea: Multi-view ensemble clustering for cancer subtype discoveryBastian Pfeifer, Marcus D Bloice, Michael G Schimek
Molecular Ecology Resources|July 9, 2020
Genome scans for selection and introgression based on k-nearest neighbour techniquesBastian Pfeifer, Nikolaos Alachiotis, Pavlos Pavlidis, et al.
Scientific Reports|October 7, 2022
Multi-omics disease module detection with an explainable Greedy Decision ForestBastian Pfeifer, Hubert Baniecki, Anna Saranti, et al.
Molecular Biology and Evolution|April 18, 2014
PopGenome: an efficient Swiss army knife for population genomic analyses in RBastian Pfeifer, Ulrich Wittelsbürger, Sebastian E Ramos-Onsins, et al.
Bioinformatics (Oxford, England)|September 4, 2024
Federated unsupervised random forest for privacy-preserving patient stratificationBastian Pfeifer, Christel Sirocchi, Marcus D Bloice, et al.
Kunstliche Intelligenz|January 2, 2023
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-GraphsBettina Finzel, Anna Saranti, Alessa Angerschmid, et al.
Journal of Biomedical Informatics|February 1, 2024
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networksJacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, et al.
Pageof 3