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ORCIDMarcin Pietrasik
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2020 – today
- 2024
[j2]Marcin Pietrasik
, Anna Wilbik, Paul Grefen, Christian Wagner, Luis Magdalena:
Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration [Technical Activities]. IEEE Comput. Intell. Mag. 19(1): 16-19 (2024)- [i5]Aki Härmä, Marcin Pietrasik, Anna Wilbik:
Empirical Capacity Model for Self-Attention Neural Networks. CoRR abs/2407.15425 (2024) - [i4]Marcin Pietrasik, Marek Z. Reformat, Anna Wilbik:
Hierarchical Blockmodelling for Knowledge Graphs. CoRR abs/2408.15649 (2024) - 2023
- [j1]Marcin Pietrasik, Marek Z. Reformat:
Probabilistic Coarsening for Knowledge Graph Embeddings. Axioms 12(3): 275 (2023) - 2022
- [c6]Yujia Zhang, Marcin Pietrasik, Wenjie Xu, Marek Z. Reformat:
Hierarchical Topic Modelling for Knowledge Graphs. ESWC 2022: 270-286 - 2021
- [c5]Marcin Pietrasik, Marek Z. Reformat:
Neural Blockmodeling for Multilayer Networks. IJCNN 2021: 1-8 - [i3]Marcin Pietrasik, Marek Z. Reformat:
Path Based Hierarchical Clustering on Knowledge Graphs. CoRR abs/2109.13178 (2021) - 2020
- [c4]Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. AAAI 2020: 6704-6711 - [c3]Marcin Pietrasik, Marek Z. Reformat:
A Simple Method for Inducing Class Taxonomies in Knowledge Graphs. ESWC 2020: 53-68 - [c2]Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. WACV 2020: 1427-1438 - [i2]Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Z. Reformat:
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel. CoRR abs/2002.00901 (2020)
2010 – 2019
- 2019
- [c1]Zheng Yu, Marcin Pietrasik, Marek Z. Reformat:
Deep Dynamic Mixed Membership Stochastic Blockmodel. WI 2019: 141-148 - [i1]Abhineet Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray:
Animal Detection in Man-made Environments. CoRR abs/1910.11443 (2019)
Coauthor Index
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