Applications of Trajectory Data in Transportation: Literature Review and Maryland Case Study. - Nikola Markovic; Przemyslaw Sekula; Zachary Vander Laan; Gennady L. Andrienko; Natalia V. Andrienko (CoRR, 2017)

Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study. - Przemyslaw Sekula; Nikola Markovic; Zachary Vander Laan; Kaveh Farokhi Sadabadi (CoRR, 2017)

Combining association rules mining with complex networks to monitor coupled risks. - Ying Zhou; Chenshuang Li; Lieyun Ding; Przemyslaw Sekula; Peter E. D. Love; Cheng Zhou (Reliab. Eng. Syst. Saf., 2019)

Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study. - Nikola Markovic; Przemyslaw Sekula; Zachary Vander Laan; Gennady L. Andrienko; Natalia V. Andrienko (IEEE Trans. Intell. Transp. Syst., 2019)

Quantum-Aware Transformer Model for State Classification. - Przemyslaw Sekula; Michal Romaszewski; Przemyslaw Glomb; Michal Cholewa; Lukasz Pawela (ICCS (Workshops 5), 2025)

Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models. - Michal Romaszewski; Przemyslaw Sekula; Przemyslaw Glomb; Michal Cholewa; Katarzyna Kolodziej (J. Artif. Intell. Soft Comput. Res., 2025)