Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Anne Magaly de Paula Canuto"'
Autor:
Cephas A. S. Barreto, Arthur Costa Gorgonio, Joao C. Xavier-Junior, Anne Magaly De Paula Canuto
Publikováno v:
IEEE Access, Vol 10, Pp 43535-43551 (2022)
Semi-supervised learning (SSL) is a machine learning approach that integrates supervised and unsupervised learning mechanisms. This integration may be done in different ways and one possibility is to use a wrapper-based strategy. The main aim of a wr
Externí odkaz:
https://doaj.org/article/2b5bdc283e6144f5b0465c9fcd0b852f
Autor:
Karliane Medeiros Ovidio Vale, Arthur Costa Gorgonio, Flavius Da Luz E Gorgonio, Anne Magaly De Paula Canuto
Publikováno v:
IEEE Access, Vol 10, Pp 7254-7276 (2022)
Semi-supervised learning is a machine learning approach that integrates supervised and unsupervised learning mechanisms. In this learning, most of labels in the training set are unknown, while there is a small part of data that has known labels. The
Externí odkaz:
https://doaj.org/article/609cb00c09aa4644875f82749a43528b
Autor:
Robercy Alves Da Silva, Anne Magaly De Paula Canuto, Cephas Alves Da Silveira Barreto, Joao Carlos Xavier-Junior
Publikováno v:
IEEE Access, Vol 9, Pp 106254-106268 (2021)
Machine Learning (ML) is a field that aims to develop efficient techniques to provide intelligent decision making solutions to complex real problems. Among the different ML structures, a classifier ensemble has been successfully applied to several cl
Externí odkaz:
https://doaj.org/article/3809148bccd6497badf6f102cc662126
Autor:
Marcilio De Oliveira Meira, Anne Magaly De Paula Canuto, Bruno Motta De Carvalho, Roberto Levi Cavalcanti Jales
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ce0909e3e3fa1928a54c93ec273426
https://doi.org/10.1109/ijcnn55064.2022.9892968
https://doi.org/10.1109/ijcnn55064.2022.9892968
Autor:
Marcilio de Oliveira Meira, Anne Magaly de Paula Canuto, Bruno Motta de Carvalho, Roberto Levi Cavalcanti Jales
Publikováno v:
Research, Society and Development; Vol. 11 No. 8; e54811831258
Research, Society and Development; Vol. 11 Núm. 8; e54811831258
Research, Society and Development; v. 11 n. 8; e54811831258
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 11 Núm. 8; e54811831258
Research, Society and Development; v. 11 n. 8; e54811831258
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
ADHD (attention deficit hyperactivity disorder) is a neurodevelopmental disorder characterized by harmful levels of inattention, disorganization, and/or hyperactivity-impulsivity. In childhood, these symptoms often overlap with those of other disorde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46378a38fcd1e9607857fd93631aad7f
https://rsdjournal.org/index.php/rsd/article/view/31258
https://rsdjournal.org/index.php/rsd/article/view/31258
Publikováno v:
Natural Computing. 20:751-752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::380b5f2a31daa180f8a0b248817ee5d0
https://doi.org/10.1007/s11047-021-09871-1
https://doi.org/10.1007/s11047-021-09871-1
Autor:
Ana Júlia Teixeira Senna Sarmento Barata, Audemir Leuzinger de Queiroz, Leonel Swistoniuk, Vitor Rodrigues Almada, Lucas Peluffo dos Santos Portilho, Diego Silveira Costa Nascimento, Queila Pahim da Silva, Catarina Janira Padilha, Bruno Silva Costa, Debora Nayar Hoff, César Andre Luiz Beras, Maria Lívia Real de Almeida, Raphael Corrêa de Souza Coelho, Danielle Rosa Nascimento, Maxwell Marques Mesquita, Ellen Valotta Elias Borges, Rafael D'Oliveira, Danilo Rodrigo Cavalcante Bandeira, José Vicente de Souza Aguiar, Leonardo Oliveira Muniz da Silva, Erotilde Mendes Ribeiro, Celia Lima Paradela, Giovani Manso Ávila, Lilian Barbosa Vieira, Felipe da Silva Gonçalves, Leila Soares de Souza Perussolo, Guilherme José Sette Junior, Evelyn Cristina Castro Barros, Sebastião Ailton Da Rosa Cerqueira-Adão, Aline Andrade Santos, Diana Priscila Sá Alberto, itala Margareth Ranyol Aben-Athar, Rafael Silva de Oliveira, Rosalina Lima Izepão, Anne Magaly de Paula Canuto, Fernando Rodrigues Lima, Carlos Henrique Lucena, Jéssica Alves da Motta, Mariana Rodrigues Gomes de Mello, Lucas Peluffo Portilho, Vânia Lúcia Quadros Nascimento, Ana Claudia de Oliveira Ré, Gislaine Moraes Dias, Émerson Oliveira Rizzatti, Malu Napp dos Santos, Lucilene Cordeiro da Silva Messias, Daniel Gomes Mesquita, Marcos Vinícius Silva Maia Santos, Lício Valério Lima Vieira, Júlio César da Silva Ferreira, Thiago Eliandro de Oliveira Gomes, Darlen de Oliveira Almirão, Helena Doris de Almeida Barbosa, Claryssa Suemi Oyama, Roseclair da Rocha Lacerda Barroso, Diogo Daniel Marques Drum, Izaura Rodrigues Nascimento, Jordana Franke Guerreiro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b8ea6ed1ade926f88b42aa7a62091b
https://doi.org/10.22533/at.ed.991192312
https://doi.org/10.22533/at.ed.991192312
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The growing presence of the Internet in day-to-day tasks, along with the evolution of computational systems, contributed to increase data exposure. This scenario highlights the need for safer user authentication systems. An alternative to deal with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e578521eb2bf2cab4bcddc619dbd5195
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
A Clusterização de dados em grupos oferece uma maneira de entender e extrair informações relevantes de grandes conjuntos de dados. A abordagem em relação a aspectos como a representação dos dados e medida de similaridade entre clusters, e a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c575b3400c187a5012c739037d83b0
https://doi.org/10.11606/d.55.2008.tde-01042008-142253
https://doi.org/10.11606/d.55.2008.tde-01042008-142253
Autor:
Napoli, Amedeo
Publikováno v:
Brazilian Conference on Artificial Intelligence, Natal, Brazil
Brazilian Conference on Artificial Intelligence, Natal, Brazil (BRACIS 2015)
Brazilian Conference on Artificial Intelligence, Natal, Brazil (BRACIS 2015), Anne Magaly de Paula Canuto (UFRN), Nov 2015, Natal, Brazil
Brazilian Conference on Artificial Intelligence, Natal, Brazil (BRACIS 2015)
Brazilian Conference on Artificial Intelligence, Natal, Brazil (BRACIS 2015), Anne Magaly de Paula Canuto (UFRN), Nov 2015, Natal, Brazil
International audience; Knowledge discovery in large and complex datasets is one main topic addressed by ``Data Science'' and is also a topic of first interest in ``Science of Knowledge'' (or Artificial Intelligence). Indeed data and knowledge are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ac6d787477be8f5b6b87c40252702283
https://hal.inria.fr/hal-01254131
https://hal.inria.fr/hal-01254131