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Hubert Baniecki
Hubert Baniecki
Zweryfikowany adres z uw.edu.pl - Strona główna
Tytuł
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Cytowane przez
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dalex: Responsible machine learning with interactive explainability and fairness in Python
H Baniecki, W Kretowicz, P Piatyszek, J Wisniewski, P Biecek
Journal of Machine Learning Research 22 (214), 1-7, 2021
1012021
SurvSHAP(t): Time-dependent explanations of machine learning survival models
M Krzyziński, M Spytek, H Baniecki, P Biecek
Knowledge-Based Systems 262, 110234, 2023
312023
The grammar of interactive explanatory model analysis
H Baniecki, D Parzych, P Biecek
Data Mining and Knowledge Discovery, 1-37, 2023
262023
modelStudio: Interactive studio with explanations for ML predictive models
H Baniecki, P Biecek
Journal of Open Source Software 4 (43), 1798, 2019
192019
Multi-omics disease module detection with an explainable greedy decision forest
B Pfeifer, H Baniecki, A Saranti, P Biecek, A Holzinger
Scientific Reports 12 (1), 1-15, 2022
172022
Fooling partial dependence via data poisoning
H Baniecki, W Kretowicz, P Biecek
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
162022
Towards evaluating explanations of vision transformers for medical imaging
P Komorowski, H Baniecki, P Biecek
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2023
112023
Adversarial attacks and defenses in explainable artificial intelligence: A survey
H Baniecki, P Biecek
Information Fusion 107, 102303, 2024
92024
Performance is not enough: The story told by a Rashomon quartet
P Biecek, H Baniecki, M Krzyzinski, D Cook
arXiv preprint arXiv:2302.13356, 2023
4*2023
Manipulating SHAP via adversarial data perturbations (student abstract)
H Baniecki, P Biecek
AAAI Conference on Artificial Intelligence 36 (11), 12907-12908, 2022
42022
Hospital length of stay prediction based on multi-modal data towards trustworthy human-AI collaboration in radiomics
H Baniecki, B Sobieski, P Bombiński, P Szatkowski, P Biecek
International Conference on Artificial Intelligence in Medicine, 65-74, 2023
22023
survex: An R package for explaining machine learning survival models
M Spytek, M Krzyziński, SH Langbein, H Baniecki, MN Wright, P Biecek
Bioinformatics 39 (12), btad723, 2023
12023
Responsible prediction making of COVID-19 mortality (student abstract)
H Baniecki, P Biecek
AAAI Conference on Artificial Intelligence 35 (18), 15755-15756, 2021
12021
Interpretable machine learning for survival analysis
SH Langbein, M Krzyziński, M Spytek, H Baniecki, P Biecek, MN Wright
arXiv preprint arXiv:2403.10250, 2024
2024
Red teaming models for hyperspectral image analysis using explainable AI
V Zaigrajew, H Baniecki, L Tulczyjew, AM Wijata, J Nalepa, N Longépé, ...
ICLR 2024 Workshops, 2024
2024
Be careful when evaluating explanations regarding ground truth
H Baniecki, M Chrabaszcz, A Holzinger, B Pfeifer, A Saranti, P Biecek
arXiv preprint arXiv:2311.04813, 2023
2023
Explaining and visualizing black-box models through counterfactual paths
B Pfeifer, M Krzyzinski, H Baniecki, A Saranti, A Holzinger, P Biecek
arXiv preprint arXiv:2307.07764v3, 2023
2023
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