Podobińska-Staniec, M., Kęsek, M., & Brzychczy, E. (2025). Machinery Activity Recognition in the Industry Based on Heterogeneous Data. In International Conference on Business Process Management (pp. 125-137). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78666-2_10
Brzychczy, E., Kluza, K., & Szała, L. (2025). Enhancement of Low-Level Event Abstraction with Large Language Models (LLMs). In International Conference on Business Process Management (pp. 209-220). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78666-2_16
2024
Szelągowski, M., Berniak-Woźny, J., Lupeikiene, A., and Szewczyk, J. (2024). Telemedicine and BPM in Cardiac Rehabilitation: A Comprehensive Post-Myocardial Infarction Care Program Case Study. In: Di Ciccio, C., et al. Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum. BPM 2024. Lecture Notes in Business Information Processing, vol 527, pp. 205-219. Springer, Cham. https://doi.org/10.1007/978-3-031-70445-1_13
Szelągowski, M., Potoczek, N., Sliż, P., Berniak-Woźny, J., Napieraj, A., Podobińska-Staniec, M., Kozłowski, A., and Senkus. P. (2024). Adapting to the Dynamic Nature of Business Processes in the Digital Age. In: Di Ciccio, C., et al. Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum. BPM 2024. Lecture Notes in Business Information Processing, vol 527, pp. 220-234. Springer, Cham. https://doi.org/10.1007/978-3-031-70445-1_14
Brzychczy E., Kluza K., Gdowska K. (2024) Exploring hybrid modelling of industrial process – mining use case. In: De Weerdt, J., Pufahl, L. (eds) Business Process Management Workshops. BPM 2023. Lecture Notes in Business Information Processing, vol 492. Springer, Cham
Gabryelczyk, R., & Biernikowicz, A. (2019, September). Motivations for BPM adoption: Initial taxonomy based on online success stories. In 2019 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 659-662). IEEE.
Grzesiak, M., Kluza, K., Potoczek, N. R., & Szała, L. (2024, September). Beyond traditional learning: The llm revolution in bpm education at university. In International Conference on Business Process Management (pp. 406-415). Cham: Springer Nature Switzerland.
Gabryelczyk, R., Brzychczy, E., Gdowska, K., & Kluza, K. (2022). Business Process Management in CEE Countries: A Literature-Based Research Landscape. In: Marrella, A., et al. (eds) Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum. BPM 2022. Lecture Notes in Business Information Processing, 459, 279-294. Springer, Cham. https://doi.org/10.1007/978-3-031-16168-1_18
Kluza, K., Wiśniewski, P., Zaremba, M., Adrian, W. T., Suchenia, A., Szała, L., & Ligęza, A. (2022, July). Proposal of a Method for Creating a BPMN Model Based on the Data Extracted from a DMN Model. In International Conference on Knowledge Science, Engineering and Management (pp. 349-358). Cham: Springer International Publishing.
Wiśniewski, P., Kluza, K., Suchenia, A., Szała, L., & Ligęza, A. (2022, July). Recomposition of Process Choreographies Using a Graph-Based Model Repository. In International Conference on Knowledge Science, Engineering and Management (pp. 478-488). Cham: Springer International Publishing.
2019
Brzychczy E., Trzcionkowska A. (2019) Process-oriented approach for analysis of sensor data from longwall monitoring system. In: Intelligent Systems in Production Engineering and Maintenance [ISPEM 2018], eds. Anna Burduk [et al.].Advances in Intelligent Systems and Computing. Cham : Springer Nature Switzerland AG, pp. 611-621
Gabryelczyk, R. (2019). Exploring BPM Adoption Factors: Insights into Literature and Experts Knowledge. In: Ziemba, E. (eds) Information Technology for Management: Emerging Research and Applications. AITM ISM 2018. Lecture Notes in Business Information Processing, 346, 155-175. Springer, Cham. https://doi.org/10.1007/978-3-030-15154-6_9
2018
Brzychczy E., Trzcionkowska A. (2018) Creation of an event log from a low-level machinery monitoring system for process mining purposes. Intelligent Data Engineering and Automated Learning IDEAL 2018. Eds. Hujun Yin, [et al.]. Cham: Springer Nature Switzerland AG, Lecture Notes in Computer Science 11315, pp 54-63
Trzcionkowska A., Brzychczy E. (2018) Practical aspects of event logs creation for industrial process modelling. W: MAPE 2018 : XV international conference Multidisciplinary Aspects of Production Engineering, Zawiercie, Poland, Vol. 1 iss. 1. Wydawnictwo PANOVA, pp. 77-83
Chmielarz, W., Zborowski, M., & Biernikowicz, A. (2013, September). Analysis of the importance of business process management depending on the organization structure and culture. In 2013 Federated Conference on Computer Science and Information Systems (pp. 1079-1086). IEEE.