Zobrazeno 1 - 10
of 14 300
pro vyhledávání: '"A. Marçal"'
Autor:
T. Cardoso, P. P. Rodrigues, C. Nunes, M. Almeida, J. Cancela, F. Rosa, N. Rocha-Pereira, I. Ferreira, F. Seabra-Pereira, P. Vaz, L. Carneiro, C. Andrade, J. Davis, A. Marçal, N. D. Friedman
Publikováno v:
Annals of Intensive Care, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract Background Stratifying patients with sepsis was the basis of the predisposition, infection, response and organ dysfunction (PIRO) concept, an attempt to resolve the heterogeneity in treatment response. The purpose of this study is to perform
Externí odkaz:
https://doaj.org/article/c560f2cfd2b24ebeb2eeb599667af8b4
Autor:
Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 2024, 13(5), 323
We introduce a hybrid quantum-classical vision transformer architecture, notable for its integration of variational quantum circuits within both the attention mechanism and the multi-layer perceptrons. The research addresses the critical challenge of
Externí odkaz:
http://arxiv.org/abs/2405.10284
Autor:
Unlu, Eyup B., Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia
Publikováno v:
Axioms v. 13, no 3, (2024) 187
Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resources both for training and deployment. The problem is exacerbated as the
Externí odkaz:
http://arxiv.org/abs/2402.00776
Autor:
Dong, Zhongtian, Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 2024, 13 (3), 188
This paper presents a comprehensive comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNN) and Quantum Neural Networks (QNN), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENN) and Deep N
Externí odkaz:
http://arxiv.org/abs/2311.18744
Autor:
Forestano, Roy T., Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 13 (2024) 160
Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data from such collision events can naturally be represented with graph structu
Externí odkaz:
http://arxiv.org/abs/2311.18672
The correctness of software systems is vital for their effective operation. It makes discovering and fixing software bugs an important development task. The increasing use of Artificial Intelligence (AI) techniques in Software Engineering led to the
Externí odkaz:
http://arxiv.org/abs/2310.12133
Autor:
Bakkali, Souhail, Biswas, Sanket, Ming, Zuheng, Coustaty, Mickaël, Rusiñol, Marçal, Terrades, Oriol Ramos, Lladós, Josep
Visual document understanding (VDU) has rapidly advanced with the development of powerful multi-modal language models. However, these models typically require extensive document pre-training data to learn intermediate representations and often suffer
Externí odkaz:
http://arxiv.org/abs/2309.05756
We introduce the structured scene-text spotting task, which requires a scene-text OCR system to spot text in the wild according to a query regular expression. Contrary to generic scene text OCR, structured scene-text spotting seeks to dynamically con
Externí odkaz:
http://arxiv.org/abs/2309.02356
Autor:
Gisele Soares Mendes, Thaís Helena Machado Marçal Teixeira, Vinicius Carolino de Souza, Tiago Sousa Neiva, Karina Prudente Pereira, Maria de Fátima Teles Landim, Gislane Ferreira de Melo, Juliana de Faria Fracon e Romão, Otávio Tolêdo Nóbrega, Gustavo de Azevedo Carvalho
Publikováno v:
Geriatrics, Gerontology and Aging, Vol 10, Pp 23-28 (2024)
INTRODUÇÃO: Sarcopenia constitui perda progressiva de massa muscular esquelética relacionada ao aumento da idade. O sedentarismo é um importante fator relacionado ao desequilíbrio entre a síntese e a degradação proteica, especialmente na popu
Externí odkaz:
https://doaj.org/article/6ff7bbfcab614a379fdf488fbc7f19e2
Autor:
Erik F. Kot, Sergey A. Goncharuk, María Luisa Franco, Daniel M. McKenzie, Alexander S. Arseniev, Andrea Benito-Martínez, Mario Costa, Antonino Cattaneo, Kalina Hristova, Marçal Vilar, Konstantin S. Mineev
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Neurotrophin receptors of the Trk family are involved in the regulation of brain development and neuroplasticity, and therefore can serve as targets for anti-cancer and stroke-recovery drugs, antidepressants, and many others. The structures
Externí odkaz:
https://doaj.org/article/215da1a995934cbf80876f433337845f