Najnowsze publikacje
- 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),
- 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
- 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] 372 (2023), 1835 - 1842
- 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
- 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) Communications in Computer and Information Science 1794 (2022), 13–24
Zainteresowania
- Machine Learning for Computer vision
- Partial information and Active Inference
- Interpretability of Deep Neural Networks
Adam Pardyl
stopień/tytuł magister statusdoktorant informatyki technicznej
grupa badawcza
- Group of Machine Learning Research (GMUM)