Zobrazeno 1 - 10
of 74
pro vyhledávání: '"C, Avelar"'
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 53-62 (2024)
Estimating the emergency costs for disasters is of high relevance in the design of any comprehensive disaster risk management strategy. These costs usually include the ones associated with the immediate response aimed to provide the required safety a
Externí odkaz:
https://doaj.org/article/3891e08a6c954acaaceb4f1415822a0a
Autor:
T De Souza Mello, C Parente Macedo Moura, C Avelar Mendes De Vasconcellos, J Camara Garcia, N Rossilho Moyses Ushijima, F Rey Costa Tostes, L Brandao Catharina, C Maria Da Costa Muguet, F Do Valle Kangussu, D Dos Santos Ferreira, P Henrique Dos Santos Lemos, L Lopes Monteiro De Barros Junqueira, K Da Silva Guimaraes, E Silaid Muxfeldt, A C Tenorio Da Costa Fernandes
Publikováno v:
European Heart Journal. 43
Introduction Obesity is increasing in younger populations, and is associated with a high cardiovascular (CV) risk, however, it is not clear whether metabolically healthy obesity (MHO) may have a lower CV risk or if it is just an earlier stage of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9587cf7b7cf6130612ea5cf4b2d03e83
https://doi.org/10.1093/eurheartj/ehac544.2394
https://doi.org/10.1093/eurheartj/ehac544.2394
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77e701bf0f0a27a41cefb2c93cb00af1
https://doi.org/10.1007/978-3-031-21686-2_26
https://doi.org/10.1007/978-3-031-21686-2_26
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
AAAI
Graph Neural Networks (GNN) are a promising technique for bridging differential programming and combinatorial domains. GNNs employ trainable modules which can be assembled in different configurations that reflect the relational structure of each prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201799973afb061fcb598d15decd8aff
https://doi.org/10.1609/aaai.v33i01.33014731
https://doi.org/10.1609/aaai.v33i01.33014731
Publikováno v:
Neural Computing and Applications. 32:6363-6381
Recently there has been a growing concern about machine bias, where trained statistical models grow to reflect controversial societal asymmetries, such as gender or racial bias. A significant number of AI tools have recently been suggested to be harm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4fa1f84a950b79ca06ae32a349950b
https://doi.org/10.1007/s00521-019-04144-6
https://doi.org/10.1007/s00521-019-04144-6
Background: The novel coronavirus pandemic has affected Brazil's Santa Catarina State (SC) severely. At the time of writing (24 March 2021), over 764,000 cases and over 9,800 deaths by COVID-19 have been confirmed, hospitals were fully occupied with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a369f825280cc19043ae093a98ad8ae
https://doi.org/10.21203/rs.3.rs-444318/v1
https://doi.org/10.21203/rs.3.rs-444318/v1
Publikováno v:
ICAART (2)
In this paper we propose the use of continuous residual modules for graph kernels in Graph Neural Networks. We show how both discrete and continuous residual layers allow for more robust training, being that continuous residual layers are those which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c77ef46e8d17d798aab645540e7b5b3
https://doi.org/10.5220/0010231501190131
https://doi.org/10.5220/0010231501190131
Autor:
Marcelo O. R. Prates, Moshe Y. Vardi, Luis C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Pedro H. C. Avelar
Publikováno v:
IJCAI
Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. Graph Neural Networks (GNNs) have been widely used in relational and symbolic domains, with widespread application of GNNs in combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::423ba851bae258a96ada8835a72f474f
https://doi.org/10.24963/ijcai.2020/679
https://doi.org/10.24963/ijcai.2020/679
Autor:
Luis C. Lamb, Artur S. d'Avila Garcez, Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616083
ICANN (1)
ICANN (1)
The recent developments and growing interest in neural-symbolic models has shown that hybrid approaches can offer richer models for Artificial Intelligence. The integration of effective relational learning and reasoning methods is one of the key chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e43fbde0343a8f39d09ffce0625b83
https://doi.org/10.1007/978-3-030-61609-0_51
https://doi.org/10.1007/978-3-030-61609-0_51