preprints in review, journal articles, and papers published in conference proceedings

  1. Performance is not enough: the story of Rashomon's quartet
    arXiv:2302.13356v2, 2023



  1. AIME oral
    Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics
    H. Baniecki, B. Sobieski, P. Bombinski, P. Szatkowski, P. Biecek
    In: International Conference on Artificial Intelligence in Medicine (AIME), 2023
  2. SurvSHAP(t): Time-dependent explanations of machine learning survival models
    Knowledge-Based Systems, 2023
  3. The grammar of interactive explanatory model analysis
    H. Baniecki, D. Parzych, P. Biecek
    Data Mining and Knowledge Discovery, 2023
    Interactive model analysis improves the performance of human decision making.
  4. Multi-omics disease module detection with an explainable Greedy Decision Forest
    Scientific Reports, 2022
  5. Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, P. Biecek
    In: European Conference on Machine Learning and PKDD (ECML PKDD), 2022
    This work is the core of our BSc thesis defended at Warsaw University of Technology.
  6. Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
    H. Baniecki, P. Biecek
    In: AAAI Conference on Artificial Intelligence (AAAI), 2022
  7. 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, 2021
    For this work, I received the 2022 John M. Chambers Statistical Software Award.
  8. Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
    H. Baniecki, P. Biecek
    In: AAAI Conference on Artificial Intelligence (AAAI), 2021
  9. modelStudio: Interactive studio with explanations for ML predictive models
    H. Baniecki, P. Biecek
    Journal of Open Source Software, 2019