Most significant publications
- Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Interpretable Image Classification with Differentiable Prototypes Assignment, European Conference on Computer Vision [ECCV](MAIN) Lecture Notes in Computer Science 13672 (2022), 351-368
- Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN) 9781450383325 (2021), 1420-1430
- Dominika Basaj, Michał Górszczak, Witold Oleszkiewicz, Barbara Rychalska, Igor Sieradzki, Tomasz Trzcinski, Bartosz Zieliński, Explaining Self-Supervised Image Representations with Visual Probing, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 592-598
- Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński, Deep learning approach to bacterial colony classification, PLoS One 12 (9) (2017), 1-14
- Mariusz Korkosz, Marek Skomorowski, Karolina Sprężak, Wadim Wojciechowski, Bartosz Zieliński, Computer aided erosions and osteophytes detection based on hand radiographs, Pattern Recognition 48 (2015), 2304-2317
Recent publications
- Bartosz Zieliński, Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2024),
- Bartosz Zieliński, Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery, European Symposium on Artificial Neural Networks [ESANN], (2024),
- Bartosz Zieliński, Marcin Przewięźlikowski, Marcin Osial, Marek Śmieja, A deep cut into Split Federated Self-Supervised Learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2024),
- Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Marek Żyła, Marek Kańduła, Ana Sánchez-Fernández, Krzysztof Rataj, Łukasz Struski, Jacek Tabor, Decoding Phenotypic Screening: A Comparative Analysis of Image Representations, Computational and Structural Biotechnology Journal 23 (2024), 1181-1188
- Bartosz Zieliński, Grzegorz Rypeść, Valeriya Khan, Tomasz Trzcinski, Bartłomiej Twardowski, Sebastian Cygert, Divide and not forget: Ensemble of selectively trained experts in Continual Learning, International Conference on Learning Representations [ICLR](MAIN), (2024),
Interests
deep learning
computer vision
explainable artificial intelligence
medical image analysis
Bartosz Zieliński
academic degree/title Doctor of Science positionresearch and faculty staff member group, university professor
unit
- Division of Applied Computer Science
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)
bartosz.zielinski@uj.edu.pl
www