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Bartosz Zielinski 0001
Person information
- affiliation: Jagiellonian University, Cracow, Poland
Other persons with the same name
- Bartosz Zielinski 0002
— University of Łódź, Poland
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2020 – today
- 2024
- [c36]Mikolaj Sacha, Bartosz Jura
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI 2024: 21563-21573 - [c35]Tomasz Trzcinski
Zero-Waste Machine Learning. ECAI 2024: 43-49 - [c34]Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski:
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. ECCV (21) 2024: 112-129 - [c33]Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski:
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR 2024 - [c32]Marcin Przewiezlikowski
A Deep Cut Into Split Federated Self-Supervised Learning. ECML/PKDD (2) 2024: 444-459 - [c31]Szymon Oplatek, Dawid Rymarczyk
Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks. xAI (1) 2024: 57-68 - [i30]Grzegorz Rypesc
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR abs/2401.10191 (2024) - [i29]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. CoRR abs/2403.07603 (2024) - [i28]Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski:
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR abs/2404.03482 (2024) - [i27]Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR abs/2405.14331 (2024) - [i26]Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja:
A deep cut into Split Federated Self-supervised Learning. CoRR abs/2406.08267 (2024) - [i25]Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski:
Revisiting FunnyBirds evaluation framework for prototypical parts networks. CoRR abs/2408.11401 (2024) - 2023
- [j10]Witold Oleszkiewicz
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access 11: 13028-13043 (2023) - [j9]Adriana Borowa
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. IEEE J. Biomed. Health Informatics 27(1): 121-130 (2023) - [c30]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. DSAA 2023: 1-8 - [c29]Adam Pardyl
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. ECAI 2023: 1835-1842 - [c28]Lukasz Struski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI 2023: 2210-2217 - [c27]Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski:
ICICLE: Interpretable Class Incremental Continual Learning. ICCV 2023: 1887-1898 - [c26]Adam Pardyl
Active Visual Exploration Based on Attention-Map Entropy. IJCAI 2023: 1303-1311 - [c25]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV 2023: 1481-1492 - [c24]Lukasz Struski, Tomasz Danel
SONGs: Self-Organizing Neural Graphs. WACV 2023: 3837-3846 - [i24]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR abs/2301.12276 (2023) - [i23]Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski:
Active Visual Exploration Based on Attention-Map Entropy. CoRR abs/2303.06457 (2023) - [i22]Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski:
ICICLE: Interpretable Class Incremental Continual Learning. CoRR abs/2303.07811 (2023) - [i21]Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja:
Augmentation-aware Self-supervised Learning with Guided Projector. CoRR abs/2306.06082 (2023) - [i20]Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR abs/2306.10535 (2023) - [i19]Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR abs/2308.08162 (2023) - [i18]Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski:
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. CoRR abs/2309.13353 (2023) - [i17]Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski:
Token Recycling for Efficient Sequential Inference with Vision Transformers. CoRR abs/2311.15335 (2023) - 2022
- [c23]Dawid Rymarczyk
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) 2022: 351-368 - [c22]Adriana Borowa
Weakly-Supervised Cell Classification for Effective High Content Screening. ICCS (1) 2022: 318-330 - [c21]Witold Oleszkiewicz
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) 2022: 331-344 - [c20]Adam Pardyl
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. ICONIP (7) 2022: 13-24 - [c19]Dawid Rymarczyk
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. ECML/PKDD (1) 2022: 421-436 - [i16]Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProPaLL: Probabilistic Partial Label Learning. CoRR abs/2208.09931 (2022) - 2021
- [j8]Bartosz Zielinski
Persistence codebooks for topological data analysis. Artif. Intell. Rev. 54(3): 1969-2009 (2021) - [c18]Bartosz Zielinski
What Pushes Self-supervised Image Representations Away? ICONIP (5) 2021: 514-521 - [c17]Dominika Basaj, Witold Oleszkiewicz
Explaining Self-Supervised Image Representations with Visual Probing. IJCAI 2021: 592-598 - [c16]Adriana Borowa
Deep learning classification of bacteria clones explained by persistence homology. IJCNN 2021: 1-8 - [c15]Dawid Rymarczyk
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD 2021: 1420-1430 - [c14]Dawid Rymarczyk
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. MedInfo 2021: 1052-1053 - [c13]Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski:
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV 2021: 1720-1729 - [i15]Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski:
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. CoRR abs/2106.11054 (2021) - [i14]Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONG: Self-Organizing Neural Graphs. CoRR abs/2107.13214 (2021) - [i13]Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski:
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. CoRR abs/2108.10612 (2021) - [i12]Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR abs/2112.02902 (2021) - 2020
- [i11]Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch:
Deep learning approach to describe and classify fungi microscopic images. CoRR abs/2005.11772 (2020) - [i10]Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski:
Kernel Self-Attention in Deep Multiple Instance Learning. CoRR abs/2005.12991 (2020) - [i9]Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR abs/2011.14340 (2020) - [i8]Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski:
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. CoRR abs/2012.01189 (2020)
2010 – 2019
- 2019
- [c12]Bartosz Zielinski, Michal Lipinski
Persistence Bag-of-Words for Topological Data Analysis. IJCAI 2019: 4489-4495 - [c11]Igor T. Podolak, Adam Roman, Arkadiusz Czekajski, Damian Lesniak, Bartosz Zielinski:
Variational auto-encoders for generating feature-preserving automata. NCMA 2019: 171-185 - [i7]Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch:
Deep learning approach to description and classification of fungi microscopic images. CoRR abs/1906.09449 (2019) - 2018
- [j7]Matthias Zeppelzauer
A study on topological descriptors for the analysis of 3D surface texture. Comput. Vis. Image Underst. 167: 74-88 (2018) - [j6]Igor T. Podolak, Adam Roman, Marek Szykula
A machine learning approach to synchronization of automata. Expert Syst. Appl. 97: 357-371 (2018) - [c10]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. NeurIPS 2018: 2724-2734 - [i6]Bartosz Zielinski, Mateusz Juda, Matthias Zeppelzauer:
Persistence Codebooks for Topological Data Analysis. CoRR abs/1802.04852 (2018) - [i5]Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor:
Cascade context encoder for improved inpainting. CoRR abs/1803.04033 (2018) - [i4]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. CoRR abs/1805.07405 (2018) - [i3]Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko:
Persistence Bag-of-Words for Topological Data Analysis. CoRR abs/1812.09245 (2018) - 2017
- [i2]Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl:
A Study on Topological Descriptors for the Analysis of 3D Surface Texture. CoRR abs/1710.10662 (2017) - 2016
- [c9]Matthias Zeppelzauer
Topological Descriptors for 3D Surface Analysis. CTIC 2016: 77-87 - [c8]Mateusz Babiuch, Bartosz Zielinski, Marek Skomorowski:
RoughCut-New Approach to Segment High-Resolution Images. ICAISC (2) 2016: 591-601 - [c7]Bartosz Zielinski, Agata Drózdz, Marzena Frolow:
Fully-Automatic Method for Assessment of Flow-Mediated Dilation. ICCVG 2016: 439-450 - [i1]Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl:
Topological descriptors for 3D surface analysis. CoRR abs/1601.06057 (2016) - 2015
- [j5]Bartosz Zielinski, Marek Skomorowski, Wadim Wojciechowski, Mariusz Korkosz, Kamila Sprezak:
Computer aided erosions and osteophytes detection based on hand radiographs. Pattern Recognit. 48(7): 2304-2317 (2015) - [c6]Bartosz Zielinski, Marek Skomorowski:
Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs. CORES 2015: 511-519 - 2014
- [c5]Bartosz Zielinski, Adam Roman, Agata Drózdz, Agata Kowalewska, Marzena Frolow:
A new approach to automatic continuous artery diameter measurement. FedCSIS 2014: 247-251 - 2011
- [c4]Marzena Bielecka
Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints. ICANNGA (2) 2011: 147-155 - [p1]Marzena Bielecka
A Shape Description Language for Osteophytes Detection in Upper Surfaces of the Metacarpophalangeal Joints. Computer Recognition Systems 4 2011: 479-487 - 2010
- [j4]Leszek Nowak, Bartosz Zielinski:
Global Extremes Analysis in Applications of Discrete Tomography. Bio Algorithms Med Syst. 6(12): 21-24 (2010) - [j3]Leszek Nowak, Bartosz Zielinski:
Global extremes analysis in applications of discrete tomography. Bio Algorithms Med Syst. 6(12-S): 149-150 (2010) - [c3]Andrzej Bielecki
Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs. ICAISC (1) 2010: 589-596 - [c2]Marzena Bielecka
Application of Shape Description Methodology to Hand Radiographs Interpretation. ICCVG (1) 2010: 11-18
2000 – 2009
- 2009
- [j2]Bartosz Zielinski:
Hand Radiograph Analysis and Joint Space Location Improvement for Image Interpretation. Schedae Informaticae 17-18: 45-61 (2009) - [c1]Marzena Bielecka
A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs. ICANNGA 2009: 469-478 - 2008
- [j1]Andrzej Bielecki
Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recognit. 41(12): 3786-3798 (2008)
Coauthor Index
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last updated on 2024-11-15 20:41 CET by the dblp team
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