Bastian Pfeifer

According to our database, Bastian Pfeifer authored at least 34 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Tree smoothing: Post-hoc regularization of tree ensembles for interpretable machine learning.

Bastian Pfeifer, Arne Gevaert, Markus Loecher, Andreas Holzinger

Inf. Sci., 2025

2024

Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization.

Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca

Data Min. Knowl. Discov., May, 2024

Effective signal reconstruction from multiple ranked lists via convex optimization.

Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca

Data Min. Knowl. Discov., May, 2024

From 3D point-cloud data to explainable geometric deep learning: State-of-the-art and future challenges.

Anna Saranti, Bastian Pfeifer, Christoph Gollob, Karl Stampfer, Andreas Holzinger

WIREs Data. Mining. Knowl. Discov., 2024

CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks.

Jacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid, Bastian Pfeifer, Vanessa Klemt, Andreas Holzinger, Anne-Christin Hauschild

J. Biomed. Informatics, 2024

Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping.

Christel Sirocchi, Martin Urschler, Bastian Pfeifer

CoRR, 2024

Federated unsupervised random forest for privacy-preserving patient stratification.

Bastian Pfeifer, Christel Sirocchi, Marcus D. Bloice, Markus Kreuzthaler, Martin Urschler

Bioinform., 2024

2023

Embedding-based terminology expansion via secondary use of large clinical real-world datasets.

Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler

J. Biomed. Informatics, November, 2023

Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider

Bioinform., October, 2023

Ensemble-GNN: Source Code and Data.

Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider

Dataset, August, 2023

<i>Parea</i>: Multi-view ensemble clustering for cancer subtype discovery.

Bastian Pfeifer, Marcus D. Bloice, Michael G. Schimek

J. Biomed. Informatics, 2023

Be Careful When Evaluating Explanations Regarding Ground Truth.

Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek

CoRR, 2023

Explainable AI with counterfactual paths.

Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek

CoRR, 2023

Bayesian post-hoc regularization of random forests.

Bastian Pfeifer

CoRR, 2023

Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.

Amila Kugic, Bastian Pfeifer, Stefan Schulz, Markus Kreuzthaler

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.

Markus Kreuzthaler, Bastian Pfeifer, Diether Kramer, Stefan Schulz

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.

Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer

Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning.

Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takác, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger

Mach. Learn. Knowl. Extr., December, 2022

Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.

Bettina Finzel, Anna Saranti, Alessa Angerschmid, David E. Tafler, Bastian Pfeifer, Andreas Holzinger

Künstliche Intell., 2022

Parea: multi-view ensemble clustering for cancer subtype discovery.

Bastian Pfeifer, Marcus D. Bloice, Michael G. Schimek

CoRR, 2022

GNN-SubNet: disease subnetwork detection with explainable graph neural networks.

Bastian Pfeifer, Anna Saranti, Andreas Holzinger

Bioinform., 2022

Robust Random Forest-Based All-Relevant Feature Ranks for Trustworthy AI.

Bastian Pfeifer, Andreas Holzinger, Michael G. Schimek

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Terminology Expansion via Co-occurrence Analysis of Large Clinical Real-World Datasets.

Markus Kreuzthaler, Bastian Pfeifer, Stefan Schulz

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

A hierarchical clustering and data fusion approach for disease subtype discovery.

Bastian Pfeifer, Michael G. Schimek

J. Biomed. Informatics, 2021

Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI.

Andreas Holzinger, Bernd Malle, Anna Saranti, Bastian Pfeifer

Inf. Fusion, 2021

Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI.

Bastian Pfeifer, Anna Saranti, Andreas Holzinger

CoRR, 2021

Integrative hierarchical ensemble clustering for improved disease subtype discovery.

Bastian Pfeifer, Andrei Voicu-Spineanu, Michael G. Schimek, Nikolaos Alachiotis

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019

EHR problem list clustering for improved topic-space navigation.

Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz

BMC Medical Informatics Decis. Mak., 2019

Estimates of introgression as a function of pairwise distances.

Bastian Pfeifer, Durrell D. Kapan

BMC Bioinform., 2019

2018

BlockFeST: Bayesian calculation of region-specific FST to detect local adaptation.

Bastian Pfeifer, Martin J. Lercher

Bioinform., 2018

Problem List Clustering for Improved Patient-Based Disease Perception.

Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

EHR Text Categorization for Enhanced Patient-Based Document Navigation.

Markus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper, Stefan Schulz

Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018

2015

Whole-genome population genomic analyses.

Bastian Pfeifer

PhD thesis, 2015

WhopGenome: high-speed access to whole-genome variation and sequence data in R.

Ulrich Wittelsbürger, Bastian Pfeifer, Martin J. Lercher

Bioinform., 2015