| 2026 | ACIIDS | Evaluating Artificial Neural Network-Based Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange. | Klaudia Kaczmarczyk, Katarzyna Kuziak, Marcin Hernes |
| 2022 | KES | Backtesting comparison of machine learning algorithms with different random seed. | Klaudia Kaczmarczyk, Karolina Mialkowska |
| 2022 | KES | Feature Selection for financial data - comparison. | Karolina Mialkowska, Klaudia Kaczmarczyk, Marcin Hernes, Mykola Dyvak |
| 2021 | KES | Backtesting comparison of machine learning methods on Warsaw Stock Exchange. | Klaudia Kaczmarczyk |
| 2021 | KES | Machine learning for liquidity prediction on Vietnamese stock market. | Pham Quoc Khang, Klaudia Kaczmarczyk, Piotr Tutak, Pawel Golec, Katarzyna Kuziak, Radoslaw Depczynski, Marcin Hernes, Artur Rot |
| 2021 | KES | Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks. | Karolina Matenczuk, Agata Kozina, Aleksandra Markowska, Kateryna Czerniachowska, Klaudia Kaczmarczyk, Pawel Golec, Marcin Hernes, Krzysztof Lutoslawski, Adrianna Kozierkiewicz, Marcin Pietranik, Artur Rot, Mykola Dyvak |
| 2020 | KES | Financial decisions support using the supervised learning method based on random forests. | Klaudia Kaczmarczyk, Marcin Hernes |