Courses:
- Computational Statistics (Warsaw University of Technology)
- Regression Analysis (Warsaw University of Technology)
- Data Mining (Warsaw University of Technology)
- Advanced Machine Learning (Warsaw University of Technology)
- Advanced Methods in Machine Learning (Warsaw University of Technology)
- Regression Analysis (Warsaw University of Technology)
- Advances in Computer Statistics (Warsaw University of Technology)
- Data Mining (UKSW)
- Mathematical Modelling (Warsaw University of Technology)
- Advanced Statistical Methods (Institute of Computer Science, Polish Academy of Sciences)
- Statistical Machine Learning (Institute of Computer Science, Polish Academy of Sciences)
- Business analytics (Warsaw University of Technology, Faculty of Electronics and Information Technology, in polish)
- Statistical Machine Learning (GeCONiI, Silesian University of Technology)
MSc students:
- Illia Tesliuk, Threshold optimization for detecting of out-of-distribution data, 2024
- Aleksandra Domagała, Pseudo-label based algorithms in the classification problem based on PU data, 2024
- Michał Gozdera, Detection of out-of-distribution data using neural networks, 2023
- Izabella Korczak, Methods of outlier detection in multi-label classification, 2022
- Krzysztof Więcław, Marcin Zakrzewski, Classification and regression using a network of partially transparent mirrors, 2021
- Urszula Białończyk, Variable selection in logistic regression for PU data, 2021
- Tomasz Klonecki, Cost-sensitive feature selection- information theoretic approach, 2020
- Anna Pintara, Feature selection using information theory, 2019
- Kamil Kmita, Cost-sensitive variable selection in classification , 2018
- Eliza Kaczorek, Detection of gene-gene interactions using information theory approach, 2018
- Justyna Jankowiak, Parameter estimation and selection in Ising Model, 2016
- Mariusz Kubkowski, Selected methods in multi-label classification, 2015.
- Anna Samiec, Analysis of Random Subspace Method in logistic regression model, 2015.