Hubert Baniecki

According to our database, Hubert Baniecki authored at least 24 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2024

The grammar of interactive explanatory model analysis.

Hubert Baniecki, Dariusz Parzych, Przemyslaw Biecek

Data Min. Knowl. Discov., September, 2024

Adversarial attacks and defenses in explainable artificial intelligence: A survey.

Hubert Baniecki, Przemyslaw Biecek

Inf. Fusion, 2024

shapiq: Shapley Interactions for Machine Learning.

Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier

CoRR, 2024

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models.

Maciej Chrabaszcz, Hubert Baniecki, Piotr Komorowski, Szymon Plotka, Przemyslaw Biecek

CoRR, 2024

Efficient and Accurate Explanation Estimation with Distribution Compression.

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, 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

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

On the Robustness of Global Feature Effect Explanations.

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Red-Teaming Segment Anything Model.

Krzysztof Jankowski, Bartlomiej Sobieski, Mateusz Kwiatkowski, Jakub Szulc, Michal Janik, Hubert Baniecki, Przemyslaw Biecek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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., December, 2023

SurvSHAP(t): Time-dependent explanations of machine learning survival models.

Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek

Knowl. Based Syst., February, 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

Performance is not enough: a story of the Rashomon's quartet.

Przemyslaw Biecek, Hubert Baniecki, Mateusz Krzyzinski

CoRR, 2023

Towards Evaluating Explanations of Vision Transformers for Medical Imaging.

Piotr Komorowski, Hubert Baniecki, Przemyslaw Biecek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Fooling Partial Dependence via Data Poisoning.

Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract).

Hubert Baniecki, Przemyslaw Biecek

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

Responsible Prediction Making of COVID-19 Mortality (Student Abstract).

Hubert Baniecki, Przemyslaw Biecek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Grammar of Interactive Explanatory Model Analysis.

Hubert Baniecki, Przemyslaw Biecek

CoRR, 2020

2019

modelStudio: Interactive Studio with Explanations for ML Predictive Models.

Hubert Baniecki, Przemyslaw Biecek

J. Open Source Softw., 2019