Courses

1. Computational Statistics (Warsaw University of Technology)
2. Regression Analysis (Warsaw University of Technology)
3. Data Mining (Warsaw University of Technology)
4. Advanced Machine Learning (Warsaw University of Technology)
5. Advanced Methods in Machine Learning (Warsaw University of Technology)
6. Regression Analysis (Warsaw University of Technology)
7. Advances in Computer Statistics (Warsaw University of Technology)
8. Data Mining (UKSW)
9. Mathematical Modelling (Warsaw University of Technology)
10. Advanced Statistical Methods (Institute of Computer Science, Polish Academy of Sciences)
11. Statistical Machine Learning (Institute of Computer Science, Polish Academy of Sciences)
12. Business analytics (Warsaw University of Technology, Faculty of Electronics and Information Technology, in polish)
13. Statistical Machine Learning (GeCONiI, Silesian University of Technology)

MSc students:

1. Krzysztof Więcław, Marcin Zakrzewski, Classification and regression using a network of partially transparent mirrors, 2021
2. Urszula Białończyk, Variable selection in logistic regression for PU data, 2021
3. Tomasz Klonecki, Cost-sensitive feature selection- information theoretic approach, 2020
4. Anna Pintara, Feature selection using information theory, 2019
5. Kamil Kmita, Cost-sensitive variable selection in classification , 2018
6. Eliza Kaczorek, Detection of gene-gene interactions using information theory approach, 2018
7. Justyna Jankowiak, Parameter estimation and selection in Ising Model, 2016
8. Mariusz Kubkowski, Selected methods in multi-label classification, 2015.
9. Anna Samiec, Analysis of Random Subspace Method in logistic regression model, 2015.