publications

conference and journal papers

preprints

  1. arXiv
    Do not explain without context: addressing the blind spot of model explanations
    K. Woznica, K. Pekala, H. Baniecki, W. Kretowicz, E. Sienkiewicz, and P. Biecek
    arXiv:2105.13787, 2021
  2. arXiv
    Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, and P. Biecek
    arXiv:2105.12837, 2021
  3. arXiv
    The Grammar of Interactive Explanatory Model Analysis
    H. Baniecki, and P. Biecek
    arXiv:2005.00497, 2021

2022

  1. AAAI SA
    Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
    H. Baniecki, and P. Biecek
    AAAI Conference on Artificial Intelligence (AAAI), 2022

2021

  1. JMLR MLOSS
    dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
    H. Baniecki, W. Kretowicz, P. Piatyszek, J. Wisniewski, and P. Biecek
    Journal of Machine Learning Research (JMLR), 2021
  2. AAAI SA
    Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
    H. Baniecki, and P. Biecek
    AAAI Conference on Artificial Intelligence (AAAI), 2021