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

  1. SurvSHAP(t): Time-dependent explanations of machine learning survival models
    M. Krzyziński, M. Spytek, H. Baniecki, P. Biecek
    arXiv:2208.11080v2, 2022
    This work introduces the first time-dependent explanation for interpreting survival models.
  2. The Grammar of Interactive Explanatory Model Analysis
    H. Baniecki, D. Parzych, P. Biecek
    arXiv:2005.00497v4, 2022



  1. Multi-omics disease module detection with an explainable Greedy Decision Forest
    Scientific Reports, 2022
  2. Quantitative analysis of RT-PCR test results for SARS-CoV-2 diagnostics across Poland during COVID-19 pandemic: Comparison between early stage and major pandemic waves in 2020 and 2021 with reference to SARS-CoV-2 variants
    R. Gierczynski, A. Czerw, G. Juszczyk, R. Charkiewicz, J. Niklinski, P. Majewski, J. Reszec, P. Piatyszek, H. Baniecki, P. Biecek, B. M. Henry
    Advances in Medical Sciences, 2022
  3. ECML PKDD oral
    Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, P. Biecek
    In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022
    This work is the core of our BSc thesis defended at Warsaw University of Technology in 2021.
  4. AAAI poster
    Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
    H. Baniecki, P. Biecek
    In: AAAI Conference on Artificial Intelligence (AAAI), 2022
  5. A Signature of 14 Long Non-Coding RNAs (lncRNAs) as a Step towards Precision Diagnosis for NSCLC
    A. Sulewska, J. Niklinski, R. Charkiewicz, P. Karabowicz, P. Biecek, H. Baniecki, O. Kowalczuk, M. Kozlowski, P. Modzelewska, P. Majewski, E. Tryniszewska, J. Reszec, Z. Dzieciol-Anikiej, C. Piwkowski, R. Gryczka, R. Ramlau
    Cancers, 2022
  6. 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
    This work received the John M. Chambers Statistical Software Award by ASA in 2022.
  7. AAAI poster
    Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
    H. Baniecki, P. Biecek
    In: AAAI Conference on Artificial Intelligence (AAAI), 2021
  8. modelStudio: Interactive studio with explanations for ML predictive models
    H. Baniecki, P. Biecek
    Journal of Open Source Software, 2019