find me @hbaniecki
My research interests include explainable machine learning, responsibility, evaluation and adversarial attacks.
Developing and maintaining open-source Python & R packages for explainability of predictive models.
|Sep 2021 new paper||
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonTo be published in the Journal of Machine Learning Research (JMLR).
|May 2021||Contributing to the useR! 2021 conference with a talk Open the Machine Learning Black-Box with modelStudio & Arena, and through a workshop Introduction to Responsible Machine Learning.|
|Feb 2021||Started my MSc in Data Science at Warsaw University of Technology.|
Bachelor of Engineering in Data ScienceObtained a Bachelor’s degree in Data Science at Faculty of Mathematics and Information Science, Warsaw University of Technology with thesis titled Adversarial attacks on Explainable AI methods.
|Nov 2020 new paper||
Responsible Prediction Making of COVID-19 Mortality (Student Abstract)To be published in the proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
- Fooling Partial Dependence via Data PoisoningarXiv:2105.12837, 2021