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



    1. The Grammar of Interactive Explanatory Model Analysis
      H. Baniecki, D. Parzych, P. Biecek
      Data Mining and Knowledge Discovery, 2023
      Interactive sequential model analysis improves the performance of human decision making.
    2. SurvSHAP(t): Time-dependent explanations of machine learning survival models
      Knowledge-Based Systems, 2023
    3. Multi-omics disease module detection with an explainable Greedy Decision Forest
      Scientific Reports, 2022
    4. 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
    5. 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.
    6. Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
      H. Baniecki, P. Biecek
      In: AAAI Conference on Artificial Intelligence (AAAI), 2022
    7. 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
    8. 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.
    9. Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
      H. Baniecki, P. Biecek
      In: AAAI Conference on Artificial Intelligence (AAAI), 2021
    10. modelStudio: Interactive studio with explanations for ML predictive models
      H. Baniecki, P. Biecek
      Journal of Open Source Software, 2019