modelStudio: Interactive Studio with Explanations for ML Predictive Models. - Hubert Baniecki; Przemyslaw Biecek (J. Open Source Softw., 2019)

The Grammar of Interactive Explanatory Model Analysis. - Hubert Baniecki; Przemyslaw Biecek (CoRR, 2020)

Responsible Prediction Making of COVID-19 Mortality (Student Abstract). - Hubert Baniecki; Przemyslaw Biecek (AAAI, 2021)

Do not explain without context: addressing the blind spot of model explanations. - Katarzyna Woznica; Katarzyna Pekala; Hubert Baniecki; Wojciech Kretowicz; Elzbieta Sienkiewicz; Przemyslaw Biecek (CoRR, 2021)

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. - Hubert Baniecki; Wojciech Kretowicz; Piotr Piatyszek; Jakub Wisniewski; Przemyslaw Biecek (J. Mach. Learn. Res., 2021)

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract). - Hubert Baniecki; Przemyslaw Biecek (AAAI, 2022)

Fooling Partial Dependence via Data Poisoning. - Hubert Baniecki; Wojciech Kretowicz; Przemyslaw Biecek (ECML/PKDD (3), 2022)

Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. - Hubert Baniecki; Bartlomiej Sobieski; Przemyslaw Bombinski; Patryk Szatkowski; Przemyslaw Biecek (AIME, 2023)

Towards Evaluating Explanations of Vision Transformers for Medical Imaging. - Piotr Komorowski; Hubert Baniecki; Przemyslaw Biecek (CVPR Workshops, 2023)

Performance is not enough: a story of the Rashomon's quartet. - Przemyslaw Biecek; Hubert Baniecki; Mateusz Krzyzinski (CoRR, 2023)

Explainable AI with counterfactual paths. - Bastian Pfeifer; Mateusz Krzyzinski; Hubert Baniecki; Anna Saranti; Andreas Holzinger; Przemyslaw Biecek (CoRR, 2023)

Be Careful When Evaluating Explanations Regarding Ground Truth. - Hubert Baniecki; Maciej Chrabaszcz; Andreas Holzinger; Bastian Pfeifer; Anna Saranti; Przemyslaw Biecek (CoRR, 2023)

SurvSHAP(t): Time-dependent explanations of machine learning survival models. - Mateusz Krzyzinski; Mikolaj Spytek; Hubert Baniecki; Przemyslaw Biecek (Knowl. Based Syst., 2023)

survex: an R package for explaining machine learning survival models. - Mikolaj Spytek; Mateusz Krzyzinski; Sophie Hanna Langbein; Hubert Baniecki; Marvin N. Wright; Przemyslaw Biecek (Bioinform., 2023)

Red-Teaming Segment Anything Model. - Krzysztof Jankowski; Bartlomiej Sobieski; Mateusz Kwiatkowski; Jakub Szulc; Michal Janik; Hubert Baniecki; Przemyslaw Biecek (CVPR Workshops, 2024)

shapiq: Shapley Interactions for Machine Learning. - Maximilian Muschalik; Hubert Baniecki; Fabian Fumagalli; Patrick Kolpaczki; Barbara Hammer; Eyke Hüllermeier (NeurIPS, 2024)

On the Robustness of Global Feature Effect Explanations. - Hubert Baniecki; Giuseppe Casalicchio; Bernd Bischl; Przemyslaw Biecek (ECML/PKDD (2), 2024)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. - Vladimir Zaigrajew; Hubert Baniecki; Lukasz Tulczyjew; Agata M. Wijata; Jakub Nalepa; Nicolas Longépé; Przemyslaw Biecek (CoRR, 2024)

Interpretable Machine Learning for Survival Analysis. - Sophie Hanna Langbein; Mateusz Krzyzinski; Mikolaj Spytek; Hubert Baniecki; Przemyslaw Biecek; Marvin N. Wright (CoRR, 2024)

Adversarial attacks and defenses in explainable artificial intelligence: A survey. - Hubert Baniecki; Przemyslaw Biecek (Inf. Fusion, 2024)

Performance Is Not Enough: The Story Told by a Rashomon Quartet. - Przemyslaw Biecek; Hubert Baniecki; Mateusz Krzyzinski; Dianne Cook (J. Comput. Graph. Stat., 2024)

The grammar of interactive explanatory model analysis. - Hubert Baniecki; Dariusz Parzych; Przemyslaw Biecek (Data Min. Knowl. Discov., 2024)

Efficient and Accurate Explanation Estimation with Distribution Compression. - Hubert Baniecki; Giuseppe Casalicchio; Bernd Bischl; Przemyslaw Biecek (ICLR, 2025)

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models. - Maciej Chrabaszcz; Hubert Baniecki; Piotr Komorowski; Szymon Plotka; Przemyslaw Biecek (WACV, 2025)

Interpretable machine learning for time-to-event prediction in medicine and healthcare. - Hubert Baniecki; Bartlomiej Sobieski; Patryk Szatkowski; Przemyslaw Bombinski; Przemyslaw Biecek (Artif. Intell. Medicine, 2025)

Interpreting CLIP with Hierarchical Sparse Autoencoders. - Vladimir Zaigrajew; Hubert Baniecki; Przemyslaw Biecek (CoRR, 2025)

Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning. - Hubert Baniecki; Przemyslaw Biecek (CoRR, 2025)

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions. - Hubert Baniecki; Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier; Przemyslaw Biecek (CoRR, 2025)

Explaining and visualizing black-box models through counterfactual paths. - Bastian Pfeifer; Mateusz Krzyzinski; Hubert Baniecki; Andreas Holzinger; Przemyslaw Biecek (Pattern Anal. Appl., 2025)