Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Everlandio Fernandes"'
Autor:
Sergio Cleger Tamayo, Everton Lima Aleixo, Everlandio Fernandes, Mikhail R. Gadelha, Aasim Khurshid, Wesley Jacinto Barreira
Publikováno v:
Artificial Intelligence in HCI ISBN: 9783030777715
HCI (36)
HCI (36)
In this study, we explore recent advances in photorealistic style transfer methods to make visual predictions of outdoor scenes. These methods transfer the elements’ visual appearance from one photo (style image) to another (content image), maintai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b204b890bd146445522ae7defc82ad61
https://doi.org/10.1007/978-3-030-77772-2_20
https://doi.org/10.1007/978-3-030-77772-2_20
Autor:
Mikhail R. Gadelha, Adriano M. Gil, Aasim Khurshid, Felipe Augusto Souza Guimarães, Everlandio Fernandes
Publikováno v:
Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020).
The smartphone themes submitted to the themestore are first evaluated by human experts to ensure a pleasant visual experience1. One of the main challenges in smartphone themes evaluation is to validate the contrast of the elements of the theme. Contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58bd4863e0649efdebafa7e083bddc23
https://doi.org/10.5753/sibgrapi.est.2020.13015
https://doi.org/10.5753/sibgrapi.est.2020.13015
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
Imbalanced datasets may negatively impact the predictive performance of most classical classification algorithms. This problem, commonly found in real-world, is known in machine learning domain as imbalanced learning. Most techniques proposed to deal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2354e131acb06bb2aa33298e65c2595
Autor:
Mauro Teofilo, Aasim Khurshid, Mikhail R. Gadelha, Everlandio Fernandes, Sergio Cleger Tamayo
Publikováno v:
HCI International 2019 – Late Breaking Papers ISBN: 9783030300326
HCI (LBP)
HCI (LBP)
Face spoofing attack is an attempt to obtain unauthorized access by using photos, videos or 3D maps of an user’s face. In this work, we propose a software-based anti-spoofing method that extracts multiple texture features based on Local Binary Patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f255b1e3387351f81fa2f9caa5a60b58
https://doi.org/10.1007/978-3-030-30033-3_37
https://doi.org/10.1007/978-3-030-30033-3_37
Publikováno v:
HCI International 2019 – Late Breaking Posters ISBN: 9783030307110
HCI (37)
HCI (37)
When themes for smartphones are created, several elements can be customized. They are usually colorful and with artistic drawings in the background. One of the main challenges in creating themes is the validation of the color contrast between the for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aa8fed2e98f1749ac1440df0afeb78b
https://doi.org/10.1007/978-3-030-30712-7_3
https://doi.org/10.1007/978-3-030-30712-7_3
Autor:
Rafael L. Rocha, Cleidson R. B. de Souza, Eduardo Carvalho, Ana Carolina Siravenha, Everlandio Fernandes, Bruno V. Ferreira, Schubert R. Carvalho, Ana Claudia S. Gomes
Publikováno v:
IJCNN
Railway component inspection is a technique widely used for maintenance because defective components pose safety issues. Nevertheless, finding defective components is a hard task because they are normally hidden by dusty, which poses hard problems fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e89e3a28b3b5d01d9d7f951ca1feb06a
https://doi.org/10.1109/ijcnn.2018.8489423
https://doi.org/10.1109/ijcnn.2018.8489423
Publikováno v:
Decision Support Systems. 51:794-809
This paper investigates a genetic programming (GP) approach aimed at the multi-objective design of hierarchical consensus functions for clustering ensembles. By this means, data partitions obtained via different clustering techniques can be continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f429638f2a8ba7c72b1d6201389ddc1
https://doi.org/10.1016/j.dss.2011.01.014
https://doi.org/10.1016/j.dss.2011.01.014
Publikováno v:
Neurocomputing. 74:494-498
The recent years have witnessed a growing interest in two advanced strategies to cope with the data clustering problem, namely, clustering ensembles and multi-objective clustering. In this paper, we present a genetic programming based approach that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::251a5a8da12e5bf954232b6116bffcad
https://doi.org/10.1016/j.neucom.2010.09.014
https://doi.org/10.1016/j.neucom.2010.09.014
Publikováno v:
IJCNN
In some practical classification problems in which the number of instances of a particular class is much lower/higher than the instances of the other classes, one commonly adopted strategy is to train the classifier over a small, balanced portion of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f471e2aff062c0c1be4cde66ce21ef
https://doi.org/10.1109/ijcnn.2015.7280760
https://doi.org/10.1109/ijcnn.2015.7280760