Bastian Pfeifer

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Venues

CoRR

J. Biomed. Informatics

Bioinform.

MIE

Heinrich Heine University Düsseldorf (PHD)

Education History

Heinrich Heine University Düsseldorf

PHD

Publications

Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38 (3) (2024)
Christel Sirocchi, Martin Urschler, Bastian Pfeifer
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping. CoRR (2024)
Bastian Pfeifer, Christel Sirocchi, Marcus D. Bloice, Markus Kreuzthaler, Martin Urschler
Federated unsupervised random forest for privacy-preserving patient stratification. CoRR (2024)
Jacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, Bastian Pfeifer, Vanessa Klemt, Andreas Holzinger, Anne-Christin Hauschild
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks. J. Biomed. Informatics 150 (2024)
Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38 (3) (2024)
Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification. Bioinform. 39 (10) (2023)
Bastian Pfeifer
Bayesian post-hoc regularization of random forests. CoRR (2023)
Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek
Be Careful When Evaluating Explanations Regarding Ground Truth. CoRR (2023)
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek
Explainable AI with counterfactual paths. CoRR (2023)
Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD. MIE (2023)
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. CD-MAKE (2023)
Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler
Embedding-based terminology expansion via secondary use of large clinical real-world datasets. J. Biomed. Informatics 147 (2023)
Bastian Pfeifer, Marcus D. Bloice, Michael G. Schimek
: Multi-view ensemble clustering for cancer subtype discovery. J. Biomed. Informatics 143 (2023)
Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment. MIE (2023)
Bastian Pfeifer, Marcus D. Bloice, Michael G. Schimek
Parea: multi-view ensemble clustering for cancer subtype discovery. CoRR (2022)
Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takác, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger
Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning. Mach. Learn. Knowl. Extr. 4 (4) (2022)
Bettina Finzel, Anna Saranti, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger
Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. Künstliche Intell. 36 (3) (2022)
Bastian Pfeifer, Andreas Holzinger, Michael G. Schimek
Robust Random Forest-Based All-Relevant Feature Ranks for Trustworthy AI. MIE (2022)
Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz
Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets. ICHI (2022)
Andreas Holzinger, Bernd Malle, Anna Saranti, Bastian Pfeifer
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI. Inf. Fusion 71 (2021)
Bastian Pfeifer, Michael G. Schimek
A hierarchical clustering and data fusion approach for disease subtype discovery. J. Biomed. Informatics 113 (2021)
Bastian Pfeifer, Anna Saranti, Andreas Holzinger
Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI. CoRR (2021)
Bastian Pfeifer, Andrei Voicu-Spineanu, Michael G. Schimek, Nikolaos Alachiotis
Integrative hierarchical ensemble clustering for improved disease subtype discovery. BIBM (2021)
Bastian Pfeifer, Durrell D. Kapan
Estimates of introgression as a function of pairwise distances. BMC Bioinform. 20 (1) (2019)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
EHR problem list clustering for improved topic-space navigation. BMC Medical Informatics Decis. Mak. (3) (2019)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
EHR Text Categorization for Enhanced Patient-Based Document Navigation. eHealth (2018)
Bastian Pfeifer, Martin J. Lercher
BlockFeST: Bayesian calculation of region-specific FST to detect local adaptation. Bioinform. 34 (18) (2018)
Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz
Problem List Clustering for Improved Patient-Based Disease Perception. ICHI Workshops (2018)
Ulrich Wittelsbürger, Bastian Pfeifer, Martin J. Lercher
WhopGenome: high-speed access to whole-genome variation and sequence data in R. Bioinform. 31 (3) (2015)

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Publication Activity (10 Years)

Top Topics

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Bastian Pfeifer