Marcin Pietrasik

19 papers A* 1A 1B 5Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines.
ICPS
Athanasios Athanasopoulos, Matús Mihalák, Marcin Pietrasik
2025 J jnl
Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines.
CoRR
Athanasios Athanasopoulos, Matús Mihalák, Marcin Pietrasik
2025 B conf
Machine Learning for Pattern Detection in Printhead Nozzle Logging.
ICTAI
Nikola Prianikov, Marcin Pietrasik, Charalampos S. Kouzinopoulos, Evelyne Janssen
2025 J jnl
Machine Learning for Pattern Detection in Printhead Nozzle Logging.
CoRR
Nikola Prianikov, Evelyne Janssen-van Dam, Marcin Pietrasik, Charalampos S. Kouzinopoulos
2025 — conf
Predicting the Lifespan of Industrial Printheads with Survival Analysis.
ICPS
Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos S. Kouzinopoulos, Marcin Pietrasik
2025 J jnl
Predicting the Lifespan of Industrial Printheads with Survival Analysis.
CoRR
Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos S. Kouzinopoulos, Marcin Pietrasik
2024 J jnl
Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration [Technical Activities].
IEEE Comput. Intell. Mag.
Marcin Pietrasik, Anna Wilbik, Paul Grefen, Christian Wagner, Luis Magdalena
2024 J jnl
Empirical Capacity Model for Self-Attention Neural Networks.
CoRR
Aki Härmä, Marcin Pietrasik, Anna Wilbik
2024 J jnl
Hierarchical Blockmodelling for Knowledge Graphs.
CoRR
Marcin Pietrasik, Marek Z. Reformat, Anna Wilbik
2023 J jnl
Probabilistic Coarsening for Knowledge Graph Embeddings.
Axioms
Marcin Pietrasik, Marek Z. Reformat
2022 B conf
Hierarchical Topic Modelling for Knowledge Graphs.
ESWC
Yujia Zhang, Marcin Pietrasik, Wenjie Xu, Marek Z. Reformat
2021 B conf
Neural Blockmodeling for Multilayer Networks.
IJCNN
Marcin Pietrasik, Marek Z. Reformat
2021 J jnl
Path Based Hierarchical Clustering on Knowledge Graphs.
CoRR
Marcin Pietrasik, Marek Z. Reformat
2020 B conf
A Simple Method for Inducing Class Taxonomies in Knowledge Graphs.
ESWC
Marcin Pietrasik, Marek Z. Reformat
2020 A conf
Animal Detection in Man-made Environments.
WACV
Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray
2020 A* conf
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel.
AAAI
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat
2020 J jnl
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel.
CoRR
Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat
2019 J jnl
Animal Detection in Man-made Environments.
CoRR
Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray
2019 B conf
Deep Dynamic Mixed Membership Stochastic Blockmodel.
WI
Zheng Yu, Marcin Pietrasik, Marek Z. Reformat