Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Renato Vicente"'
Publikováno v:
Physics, Vol 6, Iss 2, Pp 629-644 (2024)
Social structure may have changed from hierarchical to egalitarian and back along the evolutionary line of humans. Within the tradition of sociophysics, we construct a mathematical model of a society of agents subject to competing cognitive and socia
Externí odkaz:
https://doaj.org/article/cb418870bc0c42038fa339a1b9f6d1e1
Publikováno v:
Advances in Rheumatology, Vol 61, Iss 1, Pp 1-7 (2021)
Abstract Background Osteoporosis is an underdiagnosed condition, and its seriousness is not considered until severe complications arise. This study aimed to evaluate general dentists’ knowledge about osteoporosis and their ability to identify patie
Externí odkaz:
https://doaj.org/article/1228ee7670d14cc083f6b85d1bdcf639
Autor:
Paulo V. Rossi, Renato Vicente
Publikováno v:
Entropy, Vol 19, Iss 12, p 667 (2017)
In this work, we propose a Bayesian online reconstruction algorithm for sparse signals based on Compressed Sensing and inspired by L1-regularization schemes. A previous work has introduced a mean-field approximation for the Bayesian online algorithm
Externí odkaz:
https://doaj.org/article/8bdb084eab6847f18ae302a618ee493e
Publikováno v:
PLoS ONE, Vol 8, Iss 8, p e72043 (2013)
The ways in which natural selection can allow the proliferation of cooperative behavior have long been seen as a central problem in evolutionary biology. Most of the literature has focused on interactions between pairs of individuals and on linear pu
Externí odkaz:
https://doaj.org/article/04ffebfd063f44c8a51d843f47546366
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
Although Machine Learning algorithms are solving tasks of ever-increasing complexity, gathering data and building training sets remains an error prone, costly, and difficult problem. However, reusing knowledge from related previously-solved tasks ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8359b4c9eef9a32387da2d2b8734162
https://doi.org/10.52591/2021072414
https://doi.org/10.52591/2021072414
Autor:
Lucka de Godoy, Carmen Melo, Guilherme Mendes, Jonathan Batista, Carlos Guatimosim, Felipe Maia, Renato Vicente
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
Student’s grade retention is a key issue faced by many education systems, especially those in developing countries. In this paper, we seek to gauge the relevance of students’ personality traits in predicting grade retention in Brazil. For that, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c30cb626d137e3885884c9e7f30c073e
https://doi.org/10.52591/202107248
https://doi.org/10.52591/202107248
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
Although Machine Learning algorithms are solving tasks of ever-increasing complexity, gathering data and building training sets remains an error prone, costly, and difficult problem. However, reusing knowledge from related previously-solved tasks ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba775d36d3b4304950fd7deabe8bd46
https://doi.org/10.52591/lxai202107242
https://doi.org/10.52591/lxai202107242
Autor:
Lucka de Godoy, Carmen Melo, Guilherme Mendes, Jonathan Ferreira, Carlos Guatimosim, Felipe Maia, Renato Vicente
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
Student’s grade retention is a key issue faced by many education systems, especially those in developing countries. In this paper, we seek to gauge the relevance of students’ personality traits in predicting grade retention in Brazil. For that, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e6e3f3786f9347d0da5f4968c0196b
https://doi.org/10.52591/lxai2021072412
https://doi.org/10.52591/lxai2021072412
Autor:
Ricardo N. Santos, Tales F. B. Souza, Beatriz Albiero, Renato Vicente, Zhili Lei, Mário Cesar M. de F. Souza, Juliano A. Silva, Sami Yamouni
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecbf34c465578b020741686bb7b69e9e
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