Katedra Informatyki Stosowanej - lista publikacji

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1-16 z 16.

2023

16.
Łukasz Struski, Szymon Janusz, Jacek Tabor, Michał Markiewicz, Arkadiusz Lewicki
Multiple instance learning for medical image classification based on instance importance, Biomedical Signal Processing and Control (2023),
15.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
Implementation of a Building Thermal Model to Improve Energy Efficiency of the Central Heating System - A Case Study , Energies (2023), 6830
14.
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. 20 (2023), 1-11
13.
Michał Markiewicz, Aleksander Skała, Jakub Grela, Szymon Janusz, Tadeusz Stasiak, Dominik Latoń, Andrzej Bielecki, Katarzyna Bańczyk
The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors , Energies vol. 16, Special Issue: Performance Evaluation, Thermal Comfort and Energy Efficiency in Buildings (2023), 5584
12.
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
11.
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
10.
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
9.
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
8.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
Deep Learning Algorithm for Differentiating Patients with a Healthy Liver from Patients with Liver Lesions Based on MR Images, Cancers (2023), 15
7.
Krzysztof Bartosz, Piotr Bartman-Szwarc, Michał Jureczka, Paweł Szafraniec
Numerical analysis of a non-clamped dynamic thermoviscoelastic contact problem, Nonlinear Analysis: Real World Applications vol. 73 (2023) (2023), 20 stron, nr 103870
6.
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
5.
Michał Jureczka, Anna Ochal, Piotr Bartman-Szwarc
A nonsmooth optimization approach for time-dependent hemivariational inequalities, Nonlinear Analysis: Real World Applications vol. 73 (2023), 103871 (19 stron)
4.
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
3.
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
2.
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
1.
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