Hubert Baniecki

45 papers A* 5A 1B 1Journal 33Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Functional Decomposition and Shapley Interactions for Interpreting Survival Models.
CoRR
Sophie Hanna Langbein, Hubert Baniecki, Fabian Fumagalli, Niklas Koenen, Marvin N. Wright, Julia Herbinger
2025 A conf
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models.
WACV
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
2025 J jnl
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2025 J jnl
Birds look like cars: adversarial analysis of intrinsically interpretable deep learning.
Mach. Learn.
Hubert Baniecki, Przemyslaw Biecek
2025 A* conf
Efficient and Accurate Explanation Estimation with Distribution Compression.
ICLR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2025 J jnl
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions.
CoRR
Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
2025 J jnl
Explaining and visualizing black-box models through counterfactual paths.
Pattern Anal. Appl.
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Andreas Holzinger, Przemyslaw Biecek
2025 J jnl
Interpretable machine learning for time-to-event prediction in medicine and healthcare.
Artif. Intell. Medicine
Hubert Baniecki, Bartlomiej Sobieski, Patryk Szatkowski, Przemyslaw Bombinski, Przemyslaw Biecek
2025 A* conf
Interpreting CLIP with Hierarchical Sparse Autoencoders.
ICML
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek
2025 J jnl
Interpreting CLIP with Hierarchical Sparse Autoencoders.
CoRR
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
Adversarial attacks and defenses in explainable artificial intelligence: A survey.
Inf. Fusion
Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models.
CoRR
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
2024 J jnl
Efficient and Accurate Explanation Estimation with Distribution Compression.
CoRR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
Interpretable Machine Learning for Survival Analysis.
CoRR
Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
2024 — conf
On the Robustness of Global Feature Effect Explanations.
ECML/PKDD (2)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
On the Robustness of Global Feature Effect Explanations.
CoRR
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
2024 J jnl
Performance Is Not Enough: The Story Told by a Rashomon Quartet.
J. Comput. Graph. Stat.
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski, Dianne Cook
2024 J jnl
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI.
CoRR
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
2024 — conf
Red-Teaming Segment Anything Model.
CVPR Workshops
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
Red-Teaming Segment Anything Model.
CoRR
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
2024 J jnl
The grammar of interactive explanatory model analysis.
Data Min. Knowl. Discov.
Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek
2024 A* conf
shapiq: Shapley Interactions for Machine Learning.
NeurIPS
Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2024 J jnl
shapiq: Shapley Interactions for Machine Learning.
CoRR
Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2023 J jnl
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
Be Careful When Evaluating Explanations Regarding Ground Truth.
CoRR
Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek
2023 J jnl
Explainable AI with counterfactual paths.
CoRR
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek
2023 B conf
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics.
AIME
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
2023 J jnl
Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics.
CoRR
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
2023 J jnl
Performance is not enough: a story of the Rashomon's quartet.
CoRR
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski
2023 J jnl
SurvSHAP(t): Time-dependent explanations of machine learning survival models.
Knowl. Based Syst.
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
2023 — conf
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
CVPR Workshops
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 — conf
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
XAI4CV
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
Towards Evaluating Explanations of Vision Transformers for Medical Imaging.
CoRR
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
2023 J jnl
survex: an R package for explaining machine learning survival models.
Bioinform.
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2023 J jnl
survex: an R package for explaining machine learning survival models.
CoRR
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2022 — conf
Fooling Partial Dependence via Data Poisoning.
ECML/PKDD (3)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
2022 A* conf
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract).
AAAI
Hubert Baniecki, Przemyslaw Biecek
2022 J jnl
SurvSHAP(t): Time-dependent explanations of machine learning survival models.
CoRR
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
2021 J jnl
Do not explain without context: addressing the blind spot of model explanations.
CoRR
Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek
2021 J jnl
Fooling Partial Dependence via Data Poisoning.
CoRR
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
2021 A* conf
Responsible Prediction Making of COVID-19 Mortality (Student Abstract).
AAAI
Hubert Baniecki, Przemyslaw Biecek
2021 J jnl
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python.
J. Mach. Learn. Res.
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
2020 J jnl
The Grammar of Interactive Explanatory Model Analysis.
CoRR
Hubert Baniecki, Przemyslaw Biecek
2020 J jnl
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python.
CoRR
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
2019 J jnl
modelStudio: Interactive Studio with Explanations for ML Predictive Models.
J. Open Source Softw.
Hubert Baniecki, Przemyslaw Biecek