Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Itamar L. de Oliveira"'
Autor:
José Eduardo H. da Silva, Luciana N. S. Prachedes, Heder S. Bernardino, José J. Camata, Itamar L. de Oliveira
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Evolutionary techniques have been used in the design and optimization of combinational logic circuits. This procedure is called evolvable hardware and Cartesian Genetic Programming (CGP) is the evolutionary technique with the best performance in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac76704c15ed4541a92a6af5ecf367db
https://doi.org/10.5753/eniac.2022.227641
https://doi.org/10.5753/eniac.2022.227641
Autor:
Alex Borges Vieira, Helio J. C. Barbosa, Heder S. Bernardino, José Eduardo Henriques da Silva, Itamar L. de Oliveira
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Gene Regulatory Networks (GRNs) inference from gene expression data is a hard task and a widely addressed challenge. GRNs can be represented as Boolean models similarly to digital circuits. Cartesian Genetic Programming (CGP), often used for designin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4347f25d3f8a599cb4e4c89f9ad370b3
https://doi.org/10.1007/978-3-030-91702-9_18
https://doi.org/10.1007/978-3-030-91702-9_18
Autor:
Heder S. Betnardino, Alex Borges Vieira, C D Campos Luciana, J C Barbosa Helio, José Eduardo Henriques da Silva, Itamar L. de Oliveira
Publikováno v:
CEC
The inference of Gene Regulatory Networks (GRNs) from gene expression data is a hard and widely addressed scientific challenge with potential industrial and health-care use. Discrete and continuous models of GRNs are often used (i) to understand the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f93b6c2f94a51b05cf0e97a2840fbd0
https://doi.org/10.1109/cec48606.2020.9185572
https://doi.org/10.1109/cec48606.2020.9185572
Autor:
Flavio A.A. Motta, Itamar L. de Oliveira, Joao Marcos de Freitas, Helio J. C. Barbosa, Heder S. Bernardino, Felipe Rafael de Souza
Publikováno v:
CEC
Genetic Programming (GP) is an important technique in evolutionary computing. There has been extensive research and great achievement in GP and its variants. Grammar-based genetic programming (GGP) is one of the most promising ones. We propose here a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::face9fe834bb60b43ee1c6b14b07bd7e
https://doi.org/10.1109/cec.2018.8477826
https://doi.org/10.1109/cec.2018.8477826
Autor:
Felipe Rafael de Souza, Joao Marcos de Freitas, Helio J. C. Barbosa, Heder S. Bernardino, Itamar L. de Oliveira, Flavio A.A. Motta
Publikováno v:
Proceedings XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2aa3b236f459a5fb92267c20ab4d791
https://doi.org/10.21528/cbic2017-110
https://doi.org/10.21528/cbic2017-110