Zobrazeno 1 - 10
of 24
pro vyhledávání: '"João C. Xavier-Júnior"'
Autor:
João C. Xavier Júnior, Cephas A. da S. Barreto, Arthur C. Gorgônio, Anne Magály de P. Canuto, Mateus F. Barros, Victor V. Targino
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783031274084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2accde870bafe3b1bbfcc96dd8cc0f19
https://doi.org/10.1007/978-3-031-27409-1_59
https://doi.org/10.1007/978-3-031-27409-1_59
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1be26bfe1d5b7eaa1f36268382c0bf3e
https://doi.org/10.1109/icmla55696.2022.00144
https://doi.org/10.1109/icmla55696.2022.00144
Autor:
Cephas A. S. Barreto, Victor V. Targino, Tales V. de M. Alves, Lucas V. Bazante, Rafael V. R. de Oliveira, Ricardo A. R. do A. Junior, João C. Xavier-Júnior, Anne Magály de P. Canuto
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Audio signal processing has been under investigation for the last decades. The majority of the works found in literature focus on signal analysis and classification. Most of them integrate Machine Learning (ML) algorithms with the audio signal proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f4d4001b39ca1e4783985e2edd59275
https://doi.org/10.5753/eniac.2022.227616
https://doi.org/10.5753/eniac.2022.227616
Autor:
Antonino Feitosa-Neto, Alexandre César Muniz de Oliveira, Anne M. P. Canuto, João C. Xavier-Júnior
Publikováno v:
Natural Computing. 20:805-819
It is well known that machine learning (ML) techniques have been playing an important role in several real world applications. However, one of the main challenges is the selection of the most accurate technique to be used in a specific application. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0557c5a51c3a98a2d58b2065383e836
https://doi.org/10.1007/s11047-020-09816-0
https://doi.org/10.1007/s11047-020-09816-0
Publikováno v:
Knowledge and Information Systems. 62:1229-1253
It is well known that relational databases still play an important role for many companies around the world. For this reason, the use of data mining methods to discover knowledge in large relational databases has become an interesting research issue.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e2715628e59ca8e48337ee7054912e
https://doi.org/10.1007/s10115-019-01384-9
https://doi.org/10.1007/s10115-019-01384-9
Autor:
Ranna Raabe Fernandes da Costa, Antonino Feitosa-Neto, Douglas Felipe Alves Lima, Anne M. P. Canuto, João C. Xavier-Júnior, Cephas A. S. Barreto
Publikováno v:
Brazilian Journal of Development. 5:29226-29242
O Aprendizado de Maquina (AM) tem se popularizado nos ultimos anos como uma abordagem eficiente para resolucao de problemas. Existem na atualidade centenas de metodos de classificacao, por exemplo, o que torna praticamente impossivel analisar todos o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae59bb1be0c1dc2680e2315f2b2178b4
https://doi.org/10.34117/bjdv5n12-082
https://doi.org/10.34117/bjdv5n12-082
Publikováno v:
ICMLA
The aim of this paper is to investigate the use of Dynamic Feature Selection in classifier ensembles, aiming at improving its diversity and the performance of these systems. In order to do that, four dynamic feature selection techniques are proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1860e2809bf82ba6d81602e2230dee
https://doi.org/10.1109/icmla51294.2020.00089
https://doi.org/10.1109/icmla51294.2020.00089
Autor:
João C. Xavier-Júnior, Anne M. P. Canuto, Douglas Felipe Alves Lima, Arthur C. Gorgonio, Cephas A. S. Barreto, Ranna Raabe Fernandes da Costa
Publikováno v:
IJCNN
In real world classification problems, the amount of labelled data is usually limited (very hard or expensive to manually label the instances). However, a natural limitation of a classification algorithm is that it needs to have a set of labelled ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6daead24a32ca11ed324ca871a45cafc
https://doi.org/10.1109/ijcnn48605.2020.9207079
https://doi.org/10.1109/ijcnn48605.2020.9207079
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
The use of Semi-supervised Learning (SSL) methods have emerged as an efficient solution to smooth out the problem of availability of labelled instances. Several methods have been proposed in the literature and Self-training and Co-training are two we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::377e75f277e7f55302887ddc2d702b9b
https://doi.org/10.1007/978-3-030-61380-8_24
https://doi.org/10.1007/978-3-030-61380-8_24
Autor:
Carlos Oliveira Neto, João C. Xavier-Júnior, Carlos Antonio Ramirez Beltran, Cephas A. S. Barreto
Publikováno v:
Anais do XXX Simpósio Brasileiro de Informática na Educação (SBIE 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82505f445d9eeaa254034126bbb4a165
https://doi.org/10.5753/cbie.sbie.2019.1591
https://doi.org/10.5753/cbie.sbie.2019.1591