Luckner, M., Wrona, P., Grzenda, M., Łysak, A., Analysing Urban Transport Using Synthetic Journeys. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science - ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14838. Springer, Cham, 2024
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Golik, P., Grzenda, M., Sienkiewicz, E., Hybrid Ensemble-Based Travel Mode Prediction, w: Miliou, I., Piatkowski, N., Papapetrou, P. (eds) Advances in Intelligent Data Analysis XXII. IDA 2024. Lecture Notes in Computer Science, vol 14641. Springer, Cham, 2024
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Grzenda, M., Luckner, M., Brzozowski, Ł., Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling. In: Mikyska, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds), Computational Science - ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 10477. Springer, Cham, 2023
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Grzenda, M., Luckner, M., Wrona, P., Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams in: Amini, MR., Canu, S., Fischer, A., Guns, T., Kralj Novak, P., Tsoumakas, G. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Grenoble, France. Lecture Notes in Computer Science, vol 13718. Springer, Cham, 2023
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Wrona, P., Grzenda, M., Luckner, M., Streaming Detection of Significant Delay Changes in Public Transport Systems. in: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science. International Conference on Computational Science, London, 2022. Lecture Notes in Computer Science, vol 13353. Springer, Cham, 2022
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H. Murilo Gomes, M. Grzenda, R. Mello, J. Read, M. H. Le Nguyen, A. Bifet, A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams, ACM Computing Surveys, 55, 4, 2022, pp. 75:1-75:42
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M.Grzenda, Quantifying Changes in Predictions of Classification Models for Data Streams. in: Bouadi, T., Fromont, E., Hüllermeier, E. (eds) Advances in Intelligent Data Analysis XX. IDA 2022. Lecture Notes in Computer Science, vol 13205. Springer, Cham, 2022, pp. 115-127
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M. Grzenda, J. Legierski, Towards Increased Understanding of Open Data Use for Software Development, Information Systems Frontiers, vol. 23(2), Springer, 2021, pp. 495-513
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N. Kourtellis, H. Herodotou, M. Grzenda, P. Wawrzyniak, A. Bifet, S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams, Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, ACM, 2021, pp. 103-113
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R. Kunicki, M. Grzenda, Towards Increasing Open Data Adoption Through Stream Data Integration and Imputation, IEA/AIE 2021: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, LNCS, vol. 12798, Springer, Cham, 2021, pp. 15-27
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M. Grzenda, H. M. Gomes, A. Bifet, Delayed Labelling Evaluation for Data Streams. Data Mining and Knowledge Discovery, DOI: 10.1007/s10618-019-00654-y, 34, 2020, pp. 1237-1266
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M. Luckner, M. Grzenda, R. Kunicki, J. Legierski, IoT Architecture for Urban Data-Centric Services and Applications, ACM Transactions on Internet Technology, 2020, vol. 20, no. 3
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M. Grzenda, H. M. Gomes and A. Bifet, Performance measures for evolving predictions under delayed labelling classification, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, Wielka Brytania, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207256.
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M.Grzenda, Analysing the Performance of Fingerprinting-Based Indoor Positioning: The Non-trivial Case of Testing Data Selection, in Advances and Trends in Artificial Intelligence. From Theory to Practice, LNAI, 11606, (Eds.) Wotawa, F. et al., 2019, Springer International Publishing, pp. 457-469
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M. Grzenda, K. Kwasiborska, T. Zaremba, Hybrid Short Term Prediction to Address Limited Timeliness of Public Transport Data Streams, Neurocomputing, Elsevier, Vol. 391, 2020, pp. 305-317
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M. Grzenda, A. Ismail Awad, J. Furtak, J. Legierski (red.), Advances in Network Systems : Architectures, Security, and Applications, Springer International Publishing, 2017
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T. Liebig, S. Peter, M. Grzenda, K. Junosza-Szaniawski, Dynamic Transfer Patterns for Fast Multi-modal Route Planning, in Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science, Springer International Publishing, doi: 10.1007/978-3-319-56759-4_13, 2017, pp. 223-236
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M. Grzenda, K. Kwasiborska, T. Zaremba, Combining Stream Mining and Neural Networks for Short Term Delay Prediction, in Proceedings of International Joint Conference SOCO'17-CISIS'17-ICEUTE'17 Leon, Spain, September 6-8, 2017, ed. : Perez G. et al, Springer International Publishing, doi: 10.1007/978-3-319-67180-2_18, 2018, pp. 188-197
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