dr hab. Bartosz Zieliński, prof. UJ

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Instytut Informatyki i Matematyki Komputerowej
  • Katedra Informatyki Stosowanej

Publikacje:

64.
Marcin Przewięźlikowski, Randal Balestriero, Wojciech Jasiński, Marek Śmieja, Bartosz Zieliński
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations, IEEE International Conference on Computer Vision [ICCV], (2025),
63.
Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision, International Conference on Learning Representations [ICLR](MAIN) vol. ICLR 2025 200 pkt (2025), 1-97
62.
Bartosz Zieliński, Marcin Osial, Daniel Marczak
Parameter-Efficient Interventions for Enhanced Model Merging, SIAM International Conference on Data Mining [SDM], (2025), 516-526
61.
Bartosz Zieliński, Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzciński
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8536-8545
60.
Bartosz Zieliński, Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8606-8616
59.
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], (2025), 112-129
58.
Bartosz Zieliński, Tomasz Trzciński, Bartłomiej Twardowski, Kamil Adamczewski, Bartosz Wójcik
Zero-Waste Machine Learning, European Conference on Artificial Intelligence [ECAI](MAIN) vol. 392 (2024), 43-49
57.
Bartosz Zieliński, Marcin Przewięźlikowski, Mateusz Pyla, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja
Augmentation-aware self-supervised learning with conditioned projector, Knowledge-Based Systems vol. 305 (2024), 112572
56.
Bartosz Zieliński, Szymon Opłatek, Dawid Rymarczyk
Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks, Communications in Computer and Information Science vol. 2153 (2024), 57-68
55.
Bartosz Zieliński, Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk
ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery, European Symposium on Artificial Neural Networks [ESANN], (2024), 273-278
54.
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), 444-459
53.
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 vol. 23 (2024), 1181-1188
52.
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),
51.
Bartosz Zieliński, Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 38 (19) (2024), 21563 - 21573
50.
Bartosz Zieliński, Dawid Rymarczyk, Weiwei Schultz, Adriana Borowa, Joshua Friedman, Tomasz Danel, Patrick Branigan, Michał Chałupczak, Anna Bracha, Tomasz Krawiec, Michał Warchoł, Katherine Li, Gert De Hertogh, Louis R. Ghanem, Aleksandar Stojmirovic
Deep learning models capture histological disease activity in Crohn’s Disease and Ulcerative Colitis with high fidelity, Journal of Crohns & Colitis vol. 18 (4) (2024), 604–614
49.
Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński
ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
48.
Bartosz Zieliński, Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 2210 - 2217
47.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz, Zbisław Tabor
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 1835 - 1842
46.
Bartosz Zieliński, Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning, IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (2023), 1887-1898
45.
Bartosz Zieliński, Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Tomasz Trzciński
Active Visual Exploration Based on Attention-Map Entropy, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2023), 1303-1311
44.
Bartosz Zieliński, Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations, IEEE Access vol. 11 (2023), 13028-13043
43.
Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 2023 (2023), 1481-1492
42.
Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
41.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Zbisław Tabor
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1794 (2023), 13–24
40.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
Identifying bacteria species on microscopic polyculture images using deep learning, IEEE Journal of Biomedical and Health Informatics vol. 27 (1) (2023), 121-130
39.
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) vol. Lecture Notes in Computer Science 13672 (2022), 351-368
38.
Bartosz Zieliński, Dawid Rymarczyk, Aneta Kaczyńska, Jarosław Kraus, Adam Pardyl, Marek Skomorowski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN) vol. Lecture Notes in Computer Science 13713 (2022), 421-436
37.
Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zieliński
Weakly-supervised cell classification for effective High Content Screening, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 318–330
36.
Dominika Basaj, Witold Oleszkiewicz, Tomasz Trzciński, Bartosz Zieliński
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 331–344
35.
Michał Górszczak, Bartosz Zieliński
What Pushes Self-Supervised Image Representations Away?, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1516 (2021), 514-521
34.
Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Dawid Rymarczyk, Bartosz Zieliński
Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Image, World Congress on Medical and Health Informatics [MEDINFO] vol. Studies in Health Technology and Informatics 290 (2021), 1052-1053
33.
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) vol. 9781450383325 (2021), 1420-1430
32.
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
31.
Adriana Borowa, Monika Brzychczy-Włoch, Dorota Ochońska, Dawid Rymarczyk, Bartosz Zieliński
Deep learning classification of bacteria clones explained by persistence homology, IEEE International Joint Conference on Neural Networks [IJCNN] vol. 978-1-6654-3900-8 (2021), 1-8
30.
Adriana Borowa, Dawid Rymarczyk, Jacek Tabor, Bartosz Zieliński
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE Workshop on Applications of Computer Vision [WACV] vol. 978-1-6654-0477-8 (2021), 1720-1729
29.
Paweł Dłotko, Mateusz Juda, Michał Lipiński, Matthias Zeppelzauer, Bartosz Zieliński
Persistence codebooks for topological data analysis, Artificial Intelligence Review vol. 54 (3) (2021), 1969-2009
28.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
Deep learning approach to describe and classify fungi microscopic images, PLoS One vol. 15(6) (2020), 1-16
27.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
Thermal and oxygen conditions during development cause common rough woodlice (Porcellio scaber) to alter the size of their gas-exchange organs, Journal of Thermal Biology vol. 90 (2020),
26.
Arkadiusz Czekajski, Damian Leśniak, Igor Podolak, Adam Roman, Bartosz Zieliński
Variational Auto-Encoders for Generating Feature-Preserving Automata, Proceedings of Ncma 2019, Books@ocg.at (austrian Computer Society) (2019), 171-185
25.
Paweł Dłotko, Mateusz Juda, Michał Lipiński, Matthias Zeppelzauer, Bartosz Zieliński
Persistence bag-of-words for topological data analysis, Proceedings of the 28th International Joint Conference On Artificial Intelligence (ijcai 2019) (2019), 4489-4495
24.
Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
23.
Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński
Label-free FTIR spectroscopy detects and visualizes the early stage of pulmonary micrometastasis seeded from breast carcinoma, Biochimica et Biophysica Acta - Molecular Basis of Disease vol. 1864 (11) (2018), 3574-3584
22.
Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński
A machine learning approach to synchronization of automata, Expert Systems with Applications vol. 97 (2018), 357-371
21.
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński
A Study on Topological Descriptors for the Analysis of 3D Surface Texture, Computer Vision and Image Understanding vol. 167 (2018), 74-88
20.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
Deep learning approach to bacterial colony classification, PLoS One vol. 12 (9) (2017), 1-14
19.
Dariusz Michalski, Zbisław Tabor, Bartosz Zieliński
Determining the shift of a bronchoscope catheter from the analysis of a video sequence of a bronchoscope video camera, Biocybernetics and Biomedical Engineering vol. 37 (4) (2017), 630-636
18.
Łukasz Struski, Marek Śmieja, Bartosz Zieliński, Jacek Tabor
Regression SVM for incomplete data, Schedae Informaticae vol. 26 (2017), 23-35
17.
Agata Dróżdż, Marzena Frołow, Bartosz Zieliński
Fully-Automatic Method for Assessment of Flow-Mediated Dilation, Lecture Notes in Computer Science vol. 9972 (2016), 439-450
16.
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński
Topological Descriptors for 3D Surface Analysis, Lecture Notes in Computer Science vol. 9667 (2016), 77-87
15.
Mateusz Babiuch, Marek Skomorowski, Bartosz Zieliński
RoughCut-New Approach to Segment High-Resolution Images, Lecture Notes in Artificial Intelligence vol. 9693 (2016), 591-601
14.
Marek Skomorowski, Bartosz Zieliński
Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs, Advances in Intelligent Systems and Computing vol. 403 (2015), 511-519
13.
Mariusz Korkosz, Marek Skomorowski, Karolina Sprężak, Wadim Wojciechowski, Bartosz Zieliński
Computer aided erosions and osteophytes detection based on hand radiographs, Pattern Recognition vol. 48 (2015), 2304-2317
12.
Agata Dróżdż, Marzena Frołow, Agata Kowalewska, Adam Roman, Bartosz Zieliński
A new approach to automatic continuous artery diameter measurement , Proceedings of the 2014 Federated Conference On Computer Science and Information Systems vol. 2 (2014), 247–251
11.
Wadim Wojciechowski, Bartosz Zieliński
Computer-based hand radiographs analysis for erosions and osteophytes detection, European Congress of Radiology Proceedings (2012), 13
10.
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Karolina Sprężak, Wadim Wojciechowski, Bartosz Zieliński
A shape description language for osteophytes detection in upper surfaces of the metacarpophalangeal joints, Computer Recognition Systems 4, Advances in Intelligent and Soft Computing, Springer (2011), 479-487
9.
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zieliński
Modified Jakubowski shape transducer for detecting osteophytes and erosions in finger joints, Lecture Notes in Computer Science vol. 6594 (2011), 147-155
8.
Andrzej Bielecki, Mariusz Korkosz, Wadim Wojciechowski, Bartosz Zieliński
Identifying the borders of the upper and lower metacarpophalangeal joints surfaces on hand radiographs, Lecture Notes in Artificial Intelligence vol. 6113 (2010), 589-596
7.
Leszek Nowak, Bartosz Zieliński
Global extremes analysis in applications of discrete tomography, Bio-Algorithms and Med-Systems vol. 6 (2010), 21-24
6.
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zieliński
Application of shape description methodology to hand radiographs interpretation, Lecture Notes in Computer Science vol. 6374 (2010), 11-18
5.
Marzena Bielecka, Marek Skomorowski, Bartosz Zieliński
A fuzzy shape descriptor and inference by fuzzy relaxation with application to description of bones contours at hand radiographs, Lecture Notes in Computer Science vol. 5495 (2009), 469-478
4.
Bartosz Zieliński
Hand radiograph analysis and joint space location improvement for image interpretation, Schedae Informaticae vol. 17/18 (2009), 45-61
3.
Bartosz Zieliński
Segmentacja i selekcja cech jako jeden z podstawowych problemów w rozpoznawaniu obrazów medycznych, Krakowski Rocznik Kognitywistyczny vol. 2 (2008), 93-104
2.
Andrzej Bielecki, Mariusz Korkosz, Bartosz Zieliński
Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation, Pattern Recognition vol. 41 (2008), 3786-3798
1.
Bartosz Zieliński
A fully-automated algorithm dedicated to computing metacarpophalangeal and interphalangeal joint cavity widths, Schedae Informaticae vol. 16 (2007), 47-67

Konferencje:

14.
Bartosz Zieliński.
Medical Imaging with Deep Learning, École Polytechnique de Montréal, Montreal, Kanada, 2020-07-06 - 2020-07-09
13.
Bartosz Zieliński.
International Joint Conference in Artificial Intelligence (IJCAI 2019), AAAI Foundation, Makao, Chiny, 2019-08-12 - 2019-08-15
12.
Bartosz Zieliński.
Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Montreal, Kanada, 2018-12-02 - 2018-12-08
11.
Bartosz Zieliński, Mateusz Przybylski, Michał Lipiński.
Dragon Applied Topology Conference, Swansea University, Swansea, Wielka Brytania, 2018-09-11 - 2018-09-14
10.
Bartosz Zieliński, Marek Śmieja, Łukasz Struski.
ICML 35th International Conference on Machine Learning, International Machine Learning Society, Sztokholm, Szwecja, 2018-07-10 - 2018-07-15
9.
Bartosz Zieliński.
Applied Machine Learning Days, École Polytechnique Fédérale de Lausanne, Lozanna, Szwajcaria, 2018-01-27 - 2018-01-30
8.
Bartosz Zieliński.
International Conference on Computer Vision, The Computer Vision Foundation, Wenecja, Włochy, 2017-10-22 - 2017-10-29
7.
Bartosz Zieliński, Roman Srzednicki, Bogdan Batko.
Applied Topology in Będlewo 2017, Polish Academy of Sciences, Będlewo, Poland, 2017-06-25 - 2017-07-01
6.
Tomasz Kapela, Bartosz Zieliński.
Winter Workshop on Dynamics, Topology and Computations 2017, WMiI UJ, Będlewo, Polska, 2017-02-12 - 2017-02-18
5.
Bartosz Zieliński.
International Conference on Computer Vision and Graphics, Towarzystwo Przetwarzania Obrazów, Warszawa, Polska, 2016-09-19 - 2016-09-21
4.
Bartosz Zieliński.
International Workshop on Computational Topology in Image Context, CTIC 2016, Aix-Marseille Université, Marsylia, Francja, 2016-06-15 - 2016-06-17
3.
Bartosz Zieliński.
International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016, Polish Neural Network Society, Zakopane, Polska, 2016-06-12 - 2016-06-16
2.
Bartosz Zieliński, Wojciech Czarnecki.
International Conference on Computer Recognition Systems, CORES 2015, Katedra Systemów i Sieci Komputerowych, Politechnika Wrocławska, Wrocław, Polska, 2015-05-25 - 2015-05-27
1.
Bartosz Zieliński.
Federated Conference on Computer Science and Information Systems, FedCSIS 2014, Polskie Towarzystwo Informatyczne, Warszawa, Polska, 2014-09-07 - 2014-09-10

Granty (realizowane po maju 2009 roku)