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pro vyhledávání: '"Barbulescu, Ruxandra"'
While some convolutional neural networks (CNNs) have achieved great success in object recognition, they struggle to identify objects in images corrupted with different types of common noise patterns. Recently, it was shown that simulating computation
Externí odkaz:
http://arxiv.org/abs/2310.10575
Given the inner complexity of the human nervous system, insight into the dynamics of brain activity can be gained from understanding smaller and simpler organisms, such as the nematode C. Elegans. The behavioural and structural biology of these organ
Externí odkaz:
http://arxiv.org/abs/2107.06762
Autor:
Barbulescu, Ruxandra1 (AUTHOR) ruxi@inesc-id.pt, Mestre, Gonçalo1,2 (AUTHOR), Oliveira, Arlindo L.1,2 (AUTHOR), Silveira, Luís Miguel1,2 (AUTHOR)
Publikováno v:
Scientific Reports. 1/10/2023, Vol. 12 Issue 1, p1-14. 14p.
Physics-informed machine learning for reliable predictions of the behavioural dynamics of C. elegans
Bernstein Conference 2022 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b76b29c77ccd106c5f883ec7497f215f
Bernstein Conference 2021 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8f3fce33bfdfe22ba3f7c9ba20b33aa
Given the inner complexity of the human nervous system, insight into the dynamics of brain activity can be gained from understanding smaller and simpler organisms, such as the nematode C. Elegans. The behavioural and structural biology of these organ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62636a9ddab55aedc5a16480b9895201
http://arxiv.org/abs/2107.06762
http://arxiv.org/abs/2107.06762
Akademický článek
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Autor:
Barbulescu, Ruxandra
Publikováno v:
2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE); 2016, p1-5, 5p
Publikováno v:
2016 International Conference & Exposition on Electrical & Power Engineering (EPE); 2016, p313-319, 7p
Autor:
Barbulescu, Ruxandra, Ioan, Daniel
Publikováno v:
2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE); 2015, p597-602, 6p