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Dive into the research topics where Marcin Pietrasik is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Capturing variability in material property predictions for plastics recycling via machine learning
Pietrasik, M., Wilbik, A., Damoiseaux, Y., Derks, T., Karambiri, E., de Koster, S., van der Velde, D., Ragaert, K. & Teng, S. Y., Jun 2025, In: Digital Chemical Engineering. 15, 100239.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines
Athanasopoulos, A., Mihalák, M. & Pietrasik, M., 15 May 2025, 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). The IEEE, p. 1-6 6 p. 11087884Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Hierarchical Blockmodeling for Knowledge Graphs
Pietrasik, M., Reformat, M. & Wilbik, A., 1 May 2025, In: Semantic web. 16, 5, 34 p., 22104968251377338.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Machine Learning for Pattern Detection in Printhead Nozzle Logging
Prianikov, N., Janssen, E., Pietrasik, M. & Kouzinopoulos, C., 5 Nov 2025, 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI). The IEEE, p. 1443-1447 5 p. 11272505Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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MASSISTANT: A deep learning model for De Novo molecular structure prediction from EI-MS spectra via SELFIES encoding
Mommers, J., Barta, L., Pietrasik, M. & Wilbik, A., 27 Sept 2025, In: Journal of Chromatography A. 1759, 466216.Research output: Contribution to journal › Article › Academic › peer-review
Open Access