Marcin Pietrasik

According to our database, Marcin Pietrasik authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Predicting the Lifespan of Industrial Printheads with Survival Analysis.

Dan Parii, Evelyne Janssen, Guangzhi Tang, Charalampos Kouzinopoulos, Marcin Pietrasik

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines.

Athanasios Athanasopoulos, Matús Mihalák, Marcin Pietrasik

Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025

2024

Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration [Technical Activities].

Marcin Pietrasik, Anna Wilbik, Paul Grefen, Christian Wagner, Luis Magdalena

IEEE Comput. Intell. Mag., February, 2024

Hierarchical Blockmodelling for Knowledge Graphs.

Marcin Pietrasik, Marek Z. Reformat, Anna Wilbik

CoRR, 2024

Empirical Capacity Model for Self-Attention Neural Networks.

Aki Härmä, Marcin Pietrasik, Anna Wilbik

CoRR, 2024

2023

Probabilistic Coarsening for Knowledge Graph Embeddings.

Marcin Pietrasik, Marek Z. Reformat

Axioms, 2023

2022

Hierarchical Topic Modelling for Knowledge Graphs.

Yujia Zhang, Marcin Pietrasik, Wenjie Xu, Marek Z. Reformat

Proceedings of the Semantic Web - 19th International Conference, 2022

2021

Path Based Hierarchical Clustering on Knowledge Graphs.

Marcin Pietrasik, Marek Z. Reformat

CoRR, 2021

Neural Blockmodeling for Multilayer Networks.

Marcin Pietrasik, Marek Z. Reformat

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Animal Detection in Man-made Environments.

Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Simple Method for Inducing Class Taxonomies in Knowledge Graphs.

Marcin Pietrasik, Marek Z. Reformat

Proceedings of the Semantic Web - 17th International Conference, 2020

Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel.

Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Dynamic Mixed Membership Stochastic Blockmodel.

Zheng Yu, Marcin Pietrasik, Marek Z. Reformat

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019