Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Saulo Martiello Mastelini"'
Autor:
Talita Kato, Saulo Martiello Mastelini, Gabriel Fillipe Centini Campos, Ana Paula Ayub da Costa Barbon, Sandra Helena Prudencio, Massami Shimokomaki, Adriana Lourenço Soares, Sylvio Barbon
Publikováno v:
Asian-Australasian Journal of Animal Sciences, Vol 32, Iss 7, Pp 1015-1026 (2019)
Objective The objective of this study was to evaluate three different degrees of white striping (WS) addressing their automatic assessment and customer acceptance. The WS classification was performed based on a computer vision system (CVS), exploring
Externí odkaz:
https://doaj.org/article/28742cfbe0484498b8c8bbea5612f915
Autor:
Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flávio de Melo, Sylvio Barbon
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-18 (2019)
Abstract Contrast enhancement algorithms have been evolved through last decades to meet the requirement of its objectives. Actually, there are two main objectives while enhancing the contrast of an image: (i) improve its appearance for visual interpr
Externí odkaz:
https://doaj.org/article/5fe20b451b7740ea96a72cfbc29f5f9f
Autor:
Saulo Martiello Mastelini
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UELUniversidade Estadual de LondrinaUEL.
Tradicionalmente, o aprendizado de máquina lida com problemas contendo uma única variável de saída, categórica ou contínua, resultando, dessa forma, em problemas de classificação e regressão, respectivamente. No entanto, muitos problemas da
Autor:
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a64c0ab2216054795fbe9c456b7a73be
https://doi.org/10.1007/978-3-031-23633-4_25
https://doi.org/10.1007/978-3-031-23633-4_25
Autor:
Saulo Martiello Mastelini, Felipe Kenji Nakano, Celine Vens, Andre Carlos Ponce de Leon Ferreira de Carvalho
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
Data production has followed an increased growth in the last years, to the point that traditional or batch machine-learning (ML) algorithms cannot cope with the sheer volume of generated data. Stream or online ML presents itself as a viable solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f62337f4cbe8f6ff6752dd7f388bdd
https://pubmed.ncbi.nlm.nih.gov/36269923
https://pubmed.ncbi.nlm.nih.gov/36269923
Autor:
Saulo Martiello Mastelini, Bruno Veloso, Max Halford, Andre Carlos Ponce de Leon Ferreira de Carvalho, João Gama
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934406c29d00e691abce98ab5df27db9
https://doi.org/10.2139/ssrn.4292758
https://doi.org/10.2139/ssrn.4292758
Autor:
Saulo Martiello Mastelini, Daniel R. Cassar, Edesio Alcobaça, Tiago Botari, André C.P.L.F. de Carvalho, Edgar D. Zanotto
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
Due to their unique optical and electronic functionalities, chalcogenide glasses are materials of choice for numerous microelectronic and photonic devices. However, to extend the range of compositions and applications, profound knowledge about compos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e4fc6fce9a00df2213b0f40f8db125d
Autor:
Gabriel Fillipe Centini Campos, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon Junior
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
Image segmentation is a key issue in image processing. New image segmentation algorithms have been proposed in the last years. However, there is no optimal algorithm for every image processing task. The selection of the most suitable algorithm usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2434f479ca4b7c3180460f5c35fc4979
https://doi.org/10.1016/j.patrec.2019.10.018
https://doi.org/10.1016/j.patrec.2019.10.018
Autor:
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Andre C. P. L. F. de Carvalho
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518dbb9bf0113a7d303e8580529a6c03
https://doi.org/10.1109/icdmw53433.2021.00053
https://doi.org/10.1109/icdmw53433.2021.00053
Autor:
Sylvio Barbon, Gabriel Fillipe Centini Campos, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, Leonimer Flávio de Melo
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-18 (2019)
Contrast enhancement algorithms have been evolved through last decades to meet the requirement of its objectives. Actually, there are two main objectives while enhancing the contrast of an image: (i) improve its appearance for visual interpretation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e35d6e8147e2130baef20a76447f7b47
http://link.springer.com/article/10.1186/s13640-019-0445-4
http://link.springer.com/article/10.1186/s13640-019-0445-4