Klaudia Kaczmarczyk

According to our database, Klaudia Kaczmarczyk authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating Artificial Neural Network-Based Method for Risk-Adjusted Portfolio Optimization: Evidence from the Warsaw Stock Exchange.

Klaudia Kaczmarczyk, Katarzyna Kuziak, Marcin Hernes

Proceedings of the Recent Challenges in Intelligent Information and Database Systems: 18th Asian Conference, 2026

2022

Feature Selection for financial data - comparison.

Karolina Mialkowska, Klaudia Kaczmarczyk, Marcin Hernes, Mykola Dyvak

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Backtesting comparison of machine learning algorithms with different random seed.

Klaudia Kaczmarczyk, Karolina Mialkowska

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Backtesting comparison of machine learning methods on Warsaw Stock Exchange.

Klaudia Kaczmarczyk

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020

Financial decisions support using the supervised learning method based on random forests.

Klaudia Kaczmarczyk, Marcin Hernes

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020