Zobrazeno 1 - 6
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pro vyhledávání: '"Gipiškis, Rokas"'
Autor:
Gipiškis, Rokas, Joaquin, Ayrton San, Chin, Ze Shen, Regenfuß, Adrian, Gil, Ariel, Holtman, Koen
There is an urgent need to identify both short and long-term risks from newly emerging types of Artificial Intelligence (AI), as well as available risk management measures. In response, and to support global efforts in regulating AI and writing safet
Externí odkaz:
http://arxiv.org/abs/2410.23472
Artificial Intelligence (XAI) has found numerous applications in computer vision. While image classification-based explainability techniques have garnered significant attention, their counterparts in semantic segmentation have been relatively neglect
Externí odkaz:
http://arxiv.org/abs/2405.01636
Akademický článek
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Autor:
Gipiškis, Rokas, Kurasova, Olga
Publikováno v:
CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings; 2023, Issue 18, p1-6, 6p
Autor:
Gipiškis, Rokas, Kurasova, Olga
Publikováno v:
DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021, Vilnius : Vilnius University Press, 2021, p. 21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4036::d47f1e5659f1b0e53e2e5e680f38ec05
https://repository.vu.lt/VU:ELABAPDB127242379&prefLang=en_US
https://repository.vu.lt/VU:ELABAPDB127242379&prefLang=en_US
Autor:
Gipiškis, Rokas
State-of-the-art convolutional neural network architectures and their application to brain tumor segmentation of MRI images are analyzed. We identify models that over the last few years have achieved the best results in semantic segmentation tasks in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::20d17aeefe8402b09e88daa737b046b7
https://repository.vu.lt/VU:ELABAETD69467886&prefLang=en_US
https://repository.vu.lt/VU:ELABAETD69467886&prefLang=en_US