find me @hbaniecki
My research interests include explainable machine learning, responsibility, evaluation and adversarial attacks.
Developing and maintaining open-source Python & R packages used for explainability of predictive models.
|2022-Mar||Received the Minister’s (of Education and Science, Poland) scholarship for students for significant scientific achievements.|
|2021-Oct new paper||
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)Accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI-22).
|2021-Sep new paper||
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonAccepted for publication in the Journal of Machine Learning Research (JMLR).
Contributing to the useR! 2021 conference with a talk
MLOSSdalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonJournal of Machine Learning Research (JMLR), 2021
SAResponsible Prediction Making of COVID-19 Mortality (Student Abstract)In AAAI Conference on Artificial Intelligence (AAAI), 2021
BScFooling Partial Dependence via Data PoisoningThis manuscript is the core of our BSc thesis at WUoT. arXiv:2105.12837, 2021