Najnowsze publikacje

• Maciej Brzeski, Adam Roman, Measuring Similarity Between ETL ProcessesUsing Graph Edit Distance, Schedae Informaticae 32 (2023), 9-25
• Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski, Solving Traffic Signal Setting Problem Using Machine Learning, International Conference On Models and Technologies for Intelligent Transportation Systems (2019),
• Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko, Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks, Neurips 2018 Workshop "machine Learning for Intelligent Transportation Systems" (2018),
• Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek, Traffic Signal Settings Optimization Using Gradient Descent, Schedae Informaticae 27 (2018), 19-30
• Maciej Brzeski, Przemysław Spurek, Uniform Cross-entropy Clustering, Schedae Informaticae 25 (2017), 117-126