Zobrazeno 1 - 10
of 5 241
pro vyhledávání: '"P Meireles"'
This paper introduces an approach to predicting the next event in a soccer match, a challenge bearing remarkable similarities to the problem faced by Large Language Models (LLMs). Unlike other methods that severely limit event dynamics in soccer, oft
Externí odkaz:
http://arxiv.org/abs/2402.06820
This paper introduces an innovative application of Large Event Models (LEMs), akin to Large Language Models, to the domain of soccer analytics. By learning the language of soccer - predicting variables for subsequent events rather than words - LEMs f
Externí odkaz:
http://arxiv.org/abs/2402.06815
Understanding and anticipating intraoperative events and actions is critical for intraoperative assistance and decision-making during minimally invasive surgery. Automated prediction of events, actions, and the following consequences is addressed thr
Externí odkaz:
http://arxiv.org/abs/2402.01974
Autor:
Rodriguez, Fabio J. Cortes, Frattini, Gianfranco, Meireles, Fernando Teixeira Pinto, Terrien, Danae A., Cruz-Leon, Sergio, Peraro, Matteo Dal, Schier, Eva, Moreno, Diego M., Abriata, Luciano A.
MolecularWebXR is our new website for education, science communication and scientific peer discussion in chemistry and biology built on WebXR. It democratizes multi-user, inclusive virtual reality (VR) experiences that are deeply immersive for users
Externí odkaz:
http://arxiv.org/abs/2311.00385
Autor:
Junior, Valdines Leite de Sousa, de Meireles, Lucas Vidal, Lima, Samara Costa, Silva, Gilson do Nascimento
Since introduced by Martinet and Rockafellar, the proximal point algorithm was generalized in many fruitful directions. More recently, in 2002, Pennanen studied the proximal point algorithm without monotonicity. A year later, Iusem and Svaiter joined
Externí odkaz:
http://arxiv.org/abs/2308.02014
Autor:
Meireles, Lucas G., Prado, Antonio F. B. de A., Pereira, Maria Cecília, de Melo, Cristiano F.
The study of asteroids, its composition and trajectories, has been a persistent interest in the space exploration community. In addition, they are also perceived as a great threat to life on Earth, considering the possibility of an impact with our pl
Externí odkaz:
http://arxiv.org/abs/2307.06390
Autor:
Shiyu Li, Yan Du, Christiane Meireles, Dan Song, Kumar Sharma, Zenong Yin, Bradley Brimhall, Jing Wang
Publikováno v:
BMC Digital Health, Vol 2, Iss 1, Pp 1-10 (2024)
Abstract Background Data-driven trajectory modeling approaches have been used to identify participant subgroups with differing responses to digital lifestyle interventions. Identifying contributing factors to different participant subgroups can infor
Externí odkaz:
https://doaj.org/article/6d318c12b35c4f648b8d222dbd3ce1c1
Autor:
Luiz Antônio Alves de Menezes-Júnior, Bruna Carolina Rafael Barbosa, Waléria de Paula, Aline Dayrell Ferreira, Clareci Silva Cardoso, Eulilian Dias de Freitas, Fernanda de Carvalho Vidigal, Livia Garcia Ferreira, Luciana Neri Nobre, Luciana Saraiva da Silva, Adriana Lúcia Meireles
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Objective To evaluate the effects of replacing time spent in sedentary behavior (SB) with moderate to vigorous physical activity on sleep quality in young adults. Methods Multicenter cross-sectional study, carried out with students enrolled
Externí odkaz:
https://doaj.org/article/713d765e454243fd8c057d64f981ce41
Autor:
Luiz Antônio Alves de Menezes-Júnior, Aline Priscila Batista, Luciano Garcia Lourenção, Ana Maria Sampaio Rocha, Nara Nunes Lage, Keila Furbino Barbosa, George Luiz Lins Machado-Coelho, Adriana Lúcia Meireles
Publikováno v:
COVID, Vol 4, Iss 8, Pp 1315-1323 (2024)
Background: Accurate and rapid testing for COVID-19 is critical for effective disease management and control. The One-Step-COVID-2019-Test was developed as a rapid serological test to detect antibodies against SARS-CoV-2. Objective: To estimate the a
Externí odkaz:
https://doaj.org/article/576c983cf37a4d27adcf5af68c90385f
Autor:
Lucien F. Krapp, Fernando A. Meireles, Luciano A. Abriata, Jean Devillard, Sarah Vacle, Maria J. Marcaida, Matteo Dal Peraro
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Protein design and engineering are evolving at an unprecedented pace leveraging the advances in deep learning. Current models nonetheless cannot natively consider non-protein entities within the design process. Here, we introduce a deep lear
Externí odkaz:
https://doaj.org/article/bcf26b6d459a4c4c8298fb3bc8cdbaba