Hubert Baniecki

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Manually Labeled

Machine Learning

Explanatory Power

Survival Analysis

Top Venues

J. Mach. Learn. Res.

Publications

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
On the Robustness of Global Feature Effect Explanations. CoRR (2024)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
Efficient and Accurate Explanation Estimation with Distribution Compression. CoRR (2024)
Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek
Red-Teaming Segment Anything Model. CoRR (2024)
Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
Interpretable Machine Learning for Survival Analysis. CoRR (2024)
Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models. CoRR (2024)
Hubert Baniecki, Przemyslaw Biecek
Adversarial attacks and defenses in explainable artificial intelligence: A survey. Inf. Fusion 107 (2024)
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR (2024)
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics. CoRR (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. CoRR (2023)
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
Towards Evaluating Explanations of Vision Transformers for Medical Imaging. CoRR (2023)
Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek
Towards Evaluating Explanations of Vision Transformers for Medical Imaging. CVPR Workshops (2023)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. Knowl. Based Syst. 262 (2023)
Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian Pfeifer, Anna Saranti, Przemyslaw Biecek
Be Careful When Evaluating Explanations Regarding Ground Truth. CoRR (2023)
Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski
Performance is not enough: a story of the Rashomon's quartet. CoRR (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. Bioinform. 39 (12) (2023)
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. AIME (2023)
Bastian Pfeifer, Mateusz Krzyzinski, Hubert Baniecki, Anna Saranti, Andreas Holzinger, Przemyslaw Biecek
Explainable AI with counterfactual paths. CoRR (2023)
Hubert Baniecki, Przemyslaw Biecek
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey. CoRR (2023)
Hubert Baniecki, Przemyslaw Biecek
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract). AAAI (2022)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
Fooling Partial Dependence via Data Poisoning. ECML/PKDD (3) (2022)
Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek
SurvSHAP(t): Time-dependent explanations of machine learning survival models. CoRR (2022)
Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek
Fooling Partial Dependence via Data Poisoning. CoRR (2021)
Katarzyna Woznica, Katarzyna Pekala, Hubert Baniecki, Wojciech Kretowicz, Elzbieta Sienkiewicz, Przemyslaw Biecek
Do not explain without context: addressing the blind spot of model explanations. CoRR (2021)
Hubert Baniecki, Przemyslaw Biecek
Responsible Prediction Making of COVID-19 Mortality (Student Abstract). AAAI (2021)
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. J. Mach. Learn. Res. 22 (2021)
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. CoRR (2020)
Hubert Baniecki, Przemyslaw Biecek
The Grammar of Interactive Explanatory Model Analysis. CoRR (2020)
Hubert Baniecki, Przemyslaw Biecek
modelStudio: Interactive Studio with Explanations for ML Predictive Models. J. Open Source Softw. 4 (43) (2019)