Zobrazeno 1 - 10
of 699
pro vyhledávání: '"Sobieski, P."'
Autor:
Sobieski, Bartlomiej, Grzywaczewski, Jakub, Sadlej, Bartlomiej, Tivnan, Matthew, Biecek, Przemyslaw
Visual counterfactual explanations (VCEs) have recently gained immense popularity as a tool for clarifying the decision-making process of image classifiers. This trend is largely motivated by what these explanations promise to deliver -- indicate sem
Externí odkaz:
http://arxiv.org/abs/2410.12591
Autor:
Grzyb, Mateusz, Krzyziński, Mateusz, Sobieski, Bartłomiej, Spytek, Mikołaj, Pieliński, Bartosz, Dan, Daniel, Wróblewska, Anna
This project explores the application of Natural Language Processing (NLP) techniques to analyse United Nations General Assembly (UNGA) speeches. Using NLP allows for the efficient processing and analysis of large volumes of textual data, enabling th
Externí odkaz:
http://arxiv.org/abs/2406.13553
Despite increasing progress in development of methods for generating visual counterfactual explanations, especially with the recent rise of Denoising Diffusion Probabilistic Models, previous works consider them as an entirely local technique. In this
Externí odkaz:
http://arxiv.org/abs/2404.12488
Autor:
Jankowski, Krzysztof, Sobieski, Bartlomiej, Kwiatkowski, Mateusz, Szulc, Jakub, Janik, Michal, Baniecki, Hubert, Biecek, Przemyslaw
Foundation models have emerged as pivotal tools, tackling many complex tasks through pre-training on vast datasets and subsequent fine-tuning for specific applications. The Segment Anything Model is one of the first and most well-known foundation mod
Externí odkaz:
http://arxiv.org/abs/2404.02067
Autor:
Gunduz, Ahmet, Yuksel, Kamer Ali, Darwish, Kareem, Javadi, Golara, Minazzi, Fabio, Sobieski, Nicola, Bratieres, Sebastien
Data availability is crucial for advancing artificial intelligence applications, including voice-based technologies. As content creation, particularly in social media, experiences increasing demand, translation and text-to-speech (TTS) technologies h
Externí odkaz:
http://arxiv.org/abs/2402.16380
Autor:
Bombiński, Przemysław, Szatkowski, Patryk, Sobieski, Bartłomiej, Kwieciński, Tymoteusz, Płotka, Szymon, Adamek, Mariusz, Banasiuk, Marcin, Furmanek, Mariusz I., Biecek, Przemysław
Lung mask creation lacks well-defined criteria and standardized guidelines, leading to a high degree of subjectivity between annotators. In this study, we assess the underestimation of lung regions on chest X-ray segmentation masks created according
Externí odkaz:
http://arxiv.org/abs/2402.11510
Autor:
Fada Guan, Lawrence Bronk, Matthew Kerr, Yuting Li, Leslie A. Braby, Mary Sobieski, Xiaochun Wang, Xiaodong Zhang, Clifford Stephan, David R. Grosshans, Radhe Mohan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The choice of appropriate physical quantities to characterize the biological effects of ionizing radiation has evolved over time coupled with advances in scientific understanding. The basic hypothesis in radiation dosimetry is that the energ
Externí odkaz:
https://doaj.org/article/d86dbeec3d114ee9ab2a00ecde7d8cc1
Autor:
Baniecki, Hubert, Sobieski, Bartlomiej, Szatkowski, Patryk, Bombinski, Przemyslaw, Biecek, Przemyslaw
Publikováno v:
Artificial Intelligence in Medicine, vol. 159, 103026, 2025
Time-to-event prediction, e.g. cancer survival analysis or hospital length of stay, is a highly prominent machine learning task in medical and healthcare applications. However, only a few interpretable machine learning methods comply with its challen
Externí odkaz:
http://arxiv.org/abs/2303.09817
Autor:
Garrett Jensen, Xinjie Wang, Jacob Kuempel, Zhishi Chen, Wei Yu, Nicolas Palaskas, Mary Sobieski, Nghi Nguyen, Reid T. Powell, Clifford Stephan, Weijia Luo, Jiang Chang
Publikováno v:
Journal of Molecular and Cellular Cardiology Plus, Vol 10, Iss , Pp 100122- (2024)
Immune checkpoint inhibitor-associated myocarditis is the most lethal side effect of immune checkpoint blockade. Myocarditis leads to persistently increased mortality and lacks effective treatments. The development of patient-relevant disease models
Externí odkaz:
https://doaj.org/article/b081a1e6cd75473badd538f5331137a9
Autor:
Sebastián Muñoz-Leal, Valentina Nova-Cancino, Adam Sobieski, Pedro Cachu, Vasyl Tkach, Michelle Michalski
Publikováno v:
Ticks and Tick-Borne Diseases, Vol 15, Iss 6, Pp 102392- (2024)
Accumulation of DNA sequence data and its use in systematics of the family Argasidae reveals new incongruencies between genera and subgenera, since several groups defined by classical taxonomy appear to be paraphyletic, which is the case of the subge
Externí odkaz:
https://doaj.org/article/00501704ea16493d868ec5bf68361335