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Marcin Pietrasik

Observed name: Pietrasik, Marcin
ORCID: 0000-0001-7559-8658
Observed ORCID: 0000-0001-7559-8658
OpenAlex ID: A5038564154
Animal Detection in Man-made Environments
2020 · Abhineet Singh, Marcin Pietrasik, et al. · IEEE Winter Conference on Applications of Computer Vision · 58
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The enabling technologies for digitalization in the chemical process industry
2024 · Marcin Pietrasik, Anna Wilbik, et al. · Digital Chemical Engineering · 27
A Simple Method for Inducing Class Taxonomies in Knowledge Graphs
2020 · Marcin Pietrasik, Marek Reformat · Lecture notes in computer science · 12
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
2020 · Zheng Yu, Xuhui Fan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 5
Capturing variability in material property predictions for plastics recycling via machine learning
2025 · Marcin Pietrasik, Anna Wilbik, et al. · Digital Chemical Engineering · 4
Towards Customer Outcome Management in Smart Manufacturing
2023 · Paul Grefen, Irene Vanderfeesten, et al. · Machines · 4
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MASSISTANT: A deep learning model for De Novo molecular structure prediction from EI‑MS spectra via SELFIES encoding
2025 · John Mommers, Lazar Barta, et al. · Journal of Chromatography A · 3
Predicting the Lifespan of Industrial Printheads with Survival Analysis
2025 · Dan Parii, Evelyne Janssen, et al. · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · 3
Probabilistic Coarsening for Knowledge Graph Embeddings
2023 · Marcin Pietrasik, Marek Z. Reformat · Axioms · 3
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Hierarchical Topic Modelling for Knowledge Graphs
2022 · Yujia Zhang, Marcin Pietrasik, et al. · Lecture notes in computer science · 3
Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines
2025 · Athanasios Athanasopoulos, Matúš Mihalák, et al. · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · 2
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Neural Blockmodeling for Multilayer Networks
2021 · Marcin Pietrasik, Marek Reformat · International Joint Conference on Neural Networks (IJCNN) · 2
Data-driven fingerprinting plastic waste material using low-cost spectroscopy with data fusion
2026 · Marcin Pietrasik, Anna Wilbik, et al. · Digital Chemical Engineering · 1
Hierarchical Blockmodeling for Knowledge Graphs
2025 · Marcin Pietrasik, Marek Reformat, et al. · Semantic Web · 1
Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration [Technical Activities]
2024 · Marcin Pietrasik, Anna Wilbik, et al. · IEEE Computational Intelligence Magazine · 1
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Deep Dynamic Mixed Membership Stochastic Blockmodel
2019 · Zheng Yu, Marcin Pietrasik, et al. · IEEE/WIC/ACM International Conference on Web Intelligence · 1
Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data
2026 · Stallmann, Morris, Kouzinopoulos, Charalampos S., et al. · arXiv (Cornell University)
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Federated Learning for Distributed CNC Tool Wear Prediction
2026 · Khan, Afsana, Stallmann, Morris, et al. · arXiv (Cornell University)
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Hierarchical Deep Learning for De Novo Molecular Structure Prediction from EI-MS Spectra
2026 · Mohammad Falah, Anna Wilbik, et al. · International Joint Conference on Neural Networks (IJCNN)
On Memorization and Generalization in Compact Transformers
2026 · Aki Härmä, Ali Al-Saeedi, et al. · Electronics
Machine Learning for Pattern Detection in Printhead Nozzle Logging
2025 · Nikola Prianikov, Marcin Pietrasik, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
Hierarchical Blockmodelling for Knowledge Graphs
2024 · Pietrasik, Marcin, Reformat, Marek, et al. · arXiv (Cornell University)
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Empirical Capacity Model for Self-Attention Neural Networks
2024 · Härmä, Aki, Pietrasik, Marcin, et al. · arXiv (Cornell University)
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Path Based Hierarchical Clustering on Knowledge Graphs
2021 · Pietrasik, Marcin, Reformat, Marek · arXiv (Cornell University)
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Works count: 26
Citation count: 130
H-index: 4
I10-index: 3
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