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dr hab. Maria Ganzha, prof. nzw.

Division of Artificial Intelligence and Computational Methods

Research

Main research topics:

• Agent systems and application
• Reinforcement learning
• Semantic data processing

List of publications:

• Google Scholar
• ResearchGate

Publications with MiNI PW students 

Data analytics & Machine Learning

• Klimczak, A., Wenka, M., Ganzha, M., Paprzycki, M. (2023). Explorations in Active Learning Applied to Image Classification. In: Sachdeva, S., Watanobe, Y., Bhalla, S. (eds) Big Data Analytics in Astronomy, Science, and Engineering. BDA 2022. Lecture Notes in Computer Science, vol 13830. Springer, Cham. https://doi.org/10.1007/978-3-031-28350-5_2
• Klimczak, A., Wenka, M., Ganzha, M., Paprzycki, M., Mańdziuk, J. (2023). Towards Frugal Artificial Intelligence: Exploring Neural Network Pruning and Binarization. In: Thampi, S.M., Mukhopadhyay, J., Paprzycki, M., Li, KC. (eds) International Symposium on Intelligent Informatics. ISI 2022. Smart Innovation, Systems and Technologies, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-19-8094-7_2
• Pałys, Ł., Ganzha, M., Paprzycki, M. (2022). Machine Learning for Bus Travel Prediction. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13351. Springer, Cham. https://doi.org/10.1007/978-3-031-08754-7_72
• Saad, E., Paprzycki, M., Ganzha, M. (2022). Practical Aspects of Zero-Shot Learning. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13351. Springer, Cham. https://doi.org/10.1007/978-3-031-08754-7_12
• Saad, E.; Paprzycki, M.; Ganzha, M.; Bădică, A.; Bădică, C.; Fidanova, S.; Lirkov, I.; Ivanović, M. Generalized Zero-Shot Learning for Image Classification—Comparing Performance of Popular Approaches. Information 2022, 13, 561. https://doi.org/10.3390/info13120561
• Denisiuk, Aleksander; Sowiński, Piotr; Wasielewska-Michniewska, Katarzyna; Paprzycki, Marcin, Multi-Domain Named Entity Recognition for Robotic Process Automation, Proceedings of the 56th Hawaii International Conference on System Sciences
• P. Janus, A. Bicki, M. Paprzycki, Applying Machine Learning to Study Infrastructure Anomalies in a Mid-size Data Center -- Preliminary Considerations, Proceedings of the 54th Hawaii International Conference on System Sciences, University of Hawaii, Manoa, 2021, 218-227, PDF
• M. Piesio, M. Paprzycki, Applying machine learning to anomaly detection in car insurance sales, International Conference on Big Data Analytics, Springer, Cham, PDF, DOI: 10.1007/978-3-030-66665-1_17
• M. Plakhtiy,  M. Paprzycki, Comparing performance of classiffers applied to disaster detection in Twitter tweets -- preliminary considerations, International Conference on Big Data Analytics, Springer, Cham, PDF, DOI: 10.1007/978-3-030-66665-1_16
• A. Byczynska, M. Paprzycki, M. Kutka, Evidence quality estimation using selected machine learning approaches, Proceedings of 2020 Conference on Information Communications Technology and Society (ICTAS), IEEE, Piscataway, NJ, 2020, 1-8, PDF, DOI: 10.1109/ICTAS47918.2020.244042

Agent system and application

• Wrona, Z.; Buchwald, W.; Ganzha, M.; Paprzycki, M.; Leon, F.; Noor, N.; Pal, C.-V. Overview of Software Agent Platforms Available in 2023. Information 2023, 14, 348. https://doi.org/10.3390/info14060348
• Hołda, P., Rachwał, K., Sawicki, J., Ganzha, M., Paprzycki, M. (2022). Agents Assembly: Domain Specific Language for Agent Simulations. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_42
• D. Ruta, D. Rakus, Marcin Paprzycki, Agent-Based Traffic Obstacles Information System, in: Sabu M. Thampi et.al. (eds.), Applied Soft Computing and Communication Networks; Proceedings of ACN 2019, Lecture Notes in Networks and Systems, Vol. 125, Springer, Singapore, 2020 81-93, DOI: 10.1007/978-981-15-3852-0_6, PDF
• G. Mamatashvili, K. Gancarz, W. Łajewska, M. Paprzycki, Software agents in support of scheduling group training, in: P. M., Sharma, et.al (eds.), Next Generation Computing Technologies on Computational Intelligence, Communications in Computer and Information Science, Vol. 922, Springer, Singapore,, 2019, 364-375, DOI: 10.1007/978-981-15-1718-1_31, PDF
• Karol Bocian, Marcin Paprzycki, Agent system for energy consumption scheduling in an intelligent neighborhood – preliminary considerations, in: Proceedings of 3rd International Conference on Advances in Computing, Communication & Automation, IEEE Press, Los Alamitos, CA, 2018, 1-8, DOI: 10.1109/ICACCAF.2017.8344717, PDF
• Sylwia Nowak, Marcin Paprzycki, Costin Badica, Mirjana Ivanovic, Sabin Simonescu, Agent-based system for highway gasoline price negotiations, in: Proceedings of the 8th Balkan Conference in Informatics, ACM, New York, 2017, 1-8, DOI: 10.1145/3136273.3136296, PDF
• Gleb Peregud, Julian Zubek, Marcin Paprzycki, Implementing an eXAT-based distributed monitoring system prototype, in: Computer Science and Information Systems, Vol. 9, No. 3, 2012, 1249-1285, PDF
• Sylwia Polberg, Marcin Paprzycki, Developing intelligent bots for the Diplomacy game. In: M. Ganzha, et.al. (eds.), Proceedings of the 2011 Federated Conference on Computer Science and Information Systems, IEEE CS Press, Los Alamitos, CA, 2011, 589-596, PDF
• Marcin Paprzycki, Jakub Stadnik, Combining information from multiple search engines - preliminary comparison. In: Information Sciences, 180(10), 2010, 1908-1923, PDF
• Jakub Stadnik, Marcin Paprzycki, Are Many Heads Better Than One -- On Combining Information from Multiple Internet Sources. In: C. Badica et. al. (eds.). Intelligent Distributed Computing, Systems and Applications, Springer, Berlin, 2008, 177-186, PDF

Internet of things - different applications

• Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki Danilenka, Maria Ganzha, Eduardo Garro, Lambis Tassakos, Introducing Federated Learning into Internet of Things Ecosystems–Maintaining Cooperation Between Competing Parties, Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022

• Rafal Szczekutek, Marcin Paprzycki, Stefka Fidanova, Ivan Lirkov, Costin Badica, Mirjana Ivanovic System for Semantic Technology-based Access Management in a Port Terminal, in: M. Todorov (ed.), AIP Conference Proceedings 2025, AIP, PDF, DOI: 10.1063/1.5064929

• Piotr Filarski, Piotr Niedziela, Marcin Paprzycki, Intelligent Trash Bin Management System – Initial Design and Implementation, P. Singh et.al. (eds.), Proceedings of ICETIT, Lecture Notes in Electrical Engineering, vol. 605, Springer, Cham, 2019, 165-179, DOI: 10.1007/978-3-030-30577-2_14, PDF

Glider Agent - decision support system