Protomil: multiple instance learning with prototypical parts for whole-slide image classification D Rymarczyk, A Pardyl, J Kraus, A Kaczyńska, M Skomorowski, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 28* | 2022 |
Active visual exploration based on attention-map entropy A Pardyl, G Rypeść, G Kurzejamski, B Zieliński, T Trzciński arXiv preprint arXiv:2303.06457, 2023 | 4 | 2023 |
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers A Pardyl, G Kurzejamski, J Olszewski, T Trzciński, B Zieliński arXiv preprint arXiv:2309.13353, 2023 | 1 | 2023 |
Automating patient-level lung cancer diagnosis in different data regimes A Pardyl, D Rymarczyk, Z Tabor, B Zieliński International Conference on Neural Information Processing, 13-24, 2022 | 1 | 2022 |
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale A Pardyl, M Wronka, M Wołczyk, K Adamczewski, T Trzciński, B Zieliński arXiv preprint arXiv:2404.03482, 2024 | | 2024 |
ProPML: Probability Partial Multi-label Learning Ł Struski, A Pardyl, J Tabor, B Zieliński 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer A Pardyl, D Rymarczyk, J Jaworek-Korjakowska, D Kucharski, A Brodzicki, ... ECAI 2023, 1835-1842, 2023 | | 2023 |
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability A Pardyl | | 2022 |
Distributed file system for diskless nodes. A Pardyl | | 2019 |