Bernd Bischl
Ludwig-Maximilians-Universität München
H-index: 45
Europe-Germany
Top articles of Bernd Bischl
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? | arXiv preprint arXiv:2402.01484 | Emanuel Sommer Lisa Wimmer Theodore Papamarkou Ludwig Bothmann Bernd Bischl | 2024/2/2 |
Training Survival Models using Scoring Rules | arXiv preprint arXiv:2403.13150 | Philipp Kopper David Rügamer Raphael Sonabend Bernd Bischl Andreas Bender | 2024/3/19 |
Optimized model architectures for deep learning on genomic data | Philipp Münch Hüseyin Anil Gündüz René Mreches Julia Moosbauer Gary Robertson | 2023/3/24 | |
Applied machine learning using mlr3 in R | Bernd Bischl Raphael Sonabend Lars Kotthoff Michel Lang | 2024/1/18 | |
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration | arXiv preprint arXiv:2403.04629 | Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale Julia Herbinger | 2024/3/7 |
mlr3summary: Concise and interpretable summaries for machine learning models | arXiv preprint arXiv:2404.16899 | Susanne Dandl Marc Becker Bernd Bischl Giuseppe Casalicchio Ludwig Bothmann | 2024/4/25 |
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning | Ravin Kohli Matthias Feurer Katharina Eggensperger Bernd Bischl Frank Hutter | 2024 | |
Marginal effects for non-linear prediction functions | Data Mining and Knowledge Discovery | Christian A Scholbeck Giuseppe Casalicchio Christoph Molnar Bernd Bischl Christian Heumann | 2024/2/27 |
A Guide to Feature Importance Methods for Scientific Inference | arXiv preprint arXiv:2404.12862 | Fiona Katharina Ewald Ludwig Bothmann Marvin N Wright Bernd Bischl Giuseppe Casalicchio | 2024/4/19 |
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction | Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer | 2024 | |
Deep learning for survival analysis: a review | Simon Wiegrebe Philipp Kopper Raphael Sonabend Bernd Bischl Andreas Bender | 2024/2/19 | |
CountARFactuals--Generating plausible model-agnostic counterfactual explanations with adversarial random forests | World XAI Conference | Timo Freiesleben* Susanne Dandl* Kristin Blesch* Gunnar König* Jan Kapar | 2024/4/4 |
Amlb: an automl benchmark | Journal of Machine Learning Research | Pieter Gijsbers Marcos LP Bueno Stefan Coors Erin LeDell Sébastien Poirier | 2024 |
Can fairness be automated? Guidelines and opportunities for fairness-aware AutoML | Journal of Artificial Intelligence Research | Hilde Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Edward Bergman | 2024/2/17 |
Effector: A Python package for regional explanations | arXiv preprint arXiv:2404.02629 | Vasilis Gkolemis Christos Diou Eirini Ntoutsi Theodore Dalamagas Bernd Bischl | 2024/4/3 |
Symbolic explanations for hyperparameter optimization | Sarah Segel Helena Graf Alexander Tornede Bernd Bischl Mairus Lindauer | 2023 | |
Predicting t cell receptor functionality against mutant epitopes | bioRxiv | Emilio Dorigatti Felix Drost Adrian Straub Philipp Hilgendorf Karolin Isabel Wagner | 2023 |
dsBinVal: Conducting distributed ROC analysis using DataSHIELD | Journal of Open Source Software | Daniel Schalk Verena Sophia Hoffmann Bernd Bischl Ulrich Mansmann | 2023/2/21 |
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features | Raphael Patrick Prager Konstantin Dietrich Lennart Schneider Lennart Schäpermeier Bernd Bischl | 2023/8/30 | |
A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC | Investigative Radiology | Anna Theresa Stüber Stefan Coors Balthasar Schachtner Tobias Weber David Rügamer | 2023/12/1 |
Co-Authors
