Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Waldir Rodrigues De Almeida"'
Autor:
William Dias, Anderson Rocha, Ricardo da Silva Torres, Waldir Rodrigues De Almeida, Rafael Padilha, Thiago Resek, Gabriel Bertocco, Jacques Wainer, Fernanda A. Andaló
Publikováno v:
IET Biometrics. 9:205-215
Mobile devices have their popularity and affordability greatly increased in recent years. As a consequence of their ubiquity, these devices now carry all sorts of personal data that should be accessed only by their owner. Even though knowledge-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf5f4b442b8d7e23149e59d04faf3f9
https://doi.org/10.1049/iet-bmt.2020.0031
https://doi.org/10.1049/iet-bmt.2020.0031
Autor:
Waldir Rodrigues De Almeida, Rafael Padilha, Fernanda A. Andaló, William Dias, Gabriel Bertocco, Jacques Wainer, Anderson Rocha, Ricardo da Silva Torres
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 9, p e0238058 (2020)
PLOS ONE
PLoS ONE, Vol 15, Iss 9, p e0238058 (2020)
PLOS ONE
With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, aiming at unlocking someo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::910649a76bd16a8287aa99bd649439af
http://europepmc.org/articles/PMC7473524
http://europepmc.org/articles/PMC7473524
Autor:
Pedro Ribeiro Mendes Júnior, Otavio A. B. Penatti, Anderson Rocha, Daniel Vatanabe Pazinato, Waldir Rodrigues De Almeida, Bernardo Vecchia Stein, Rafael de Oliveira Werneck, Ricardo da Silva Torres
Publikováno v:
Future Generation Computer Systems. 78:59-76
In this work, we propose Kuaa, a workflow-based framework that can be used for designing, deploying, and executing machine learning experiments in an automated fashion. This framework is able to provide a standardized environment for exploratory anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38470db85d595e1680cd17826704f6b6
https://doi.org/10.1016/j.future.2017.06.013
https://doi.org/10.1016/j.future.2017.06.013
Autor:
Bernardo Vecchia Stein, Anderson Rocha, Daniel Vatanabe Pazinato, Ricardo da Silva Torres, Rafael de Oliveira Werneck, Waldir Rodrigues De Almeida, Otavio A. B. Penatti, Roberto Souza, Pedro Ribeiro Mendes Júnior
Publikováno v:
Machine Learning. 106:359-386
In this paper, we propose a novel multiclass classifier for the open-set recognition scenario. This scenario is the one in which there are no a priori training samples for some classes that might appear during testing. Usually, many applications are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca93024ed98c6ade2fc8fabd90035b2
https://doi.org/10.1007/s10994-016-5610-8
https://doi.org/10.1007/s10994-016-5610-8
Autor:
Waldir Rodrigues de Almeida
Publikováno v:
Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Orientadores: Anderson de Rezende Rocha, Fernanda Alcântara Andaló Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação Resumo: Com o crescimento e popularização de tecnologias de autenticação biométrica, tai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69433c9f4bc19c46e2cd09bdef993535
Autor:
Ricardo da Silva Torres, Anderson Rocha, Rafael de Oliveira Werneck, Daniel Vatanabe Pazinato, Otavio A. B. Penatti, Waldir Rodrigues De Almeida, Bernardo Vecchia Stein, Pedro Ribeiro Mendes Júnior
Publikováno v:
Computers in Biology and Medicine. 66:66-81
In this paper, we explore mid-level image representations for real-time heart view plane classification of 2D echocardiogram ultrasound images. The proposed representations rely on bags of visual words, successfully used by the computer vision commun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c4400cd964efed944aff17169f62398
https://doi.org/10.1016/j.compbiomed.2015.08.004
https://doi.org/10.1016/j.compbiomed.2015.08.004
Autor:
Guilherme Folego, Daniel Perez-Cabo, Fei Peng, Le-Bing Zhang, Zahid Akhtar, Sushil Bhattacharjee, Zinelabidine Boulkenafet, S. Volkova, Amir H. Mohammadi, Xiaoyi Feng, Azeddine Benlamoudi, Lei Li, Shruti Bhilare, Abdelkrim Ouafi, L. Qin, Rafael Padilha, Salah Eddine Bekhouche, S. Liu, William Dias, Marcus de Assis Angeloni, Pong C. Yuen, Daniel González-Jiménez, Rui Shao, Ricardo da Silva Torres, Jukka Komulainen, Waldir Rodrigues De Almeida, X. Jiang, Vivek Kanhangad, J. J. Moreira-Perez, Abdenour Hadid, Djamel Samai, Anderson Rocha, Esteban Vazquez-Fernandez, Fernanda A. Andaló, Abdelmalik Taleb-Ahmed, Alan Godoy, Zhaoqiang Xia, Y. Tang, Sébastien Marcel, N. Abe, Fadi Dornaika, Gabriel Bertocco, Artur Costa-Pazo, Jacques Wainer, M. Long
Publikováno v:
IJCB
In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11fc1c67d329948183c7aef340d6469e
https://doi.org/10.1109/btas.2017.8272758
https://doi.org/10.1109/btas.2017.8272758
Autor:
Otavio A. B. Penatti, Fabio H. Menezes, Anderson Rocha, Daniel Vatanabe Pazinato, Pedro Ribeiro Mendes Júnior, Rafael de Oliveira Werneck, Waldir Rodrigues De Almeida, Bernardo Vecchia Stein, Ricardo da Silva Torres
Publikováno v:
IEEE journal of biomedical and health informatics. 20(1)
Background: Pixel-level tissue classification for ultrasound images, commonly applied to carotid images, is usually based on defining thresholds for the isolated pixel values. Ranges of pixel values are defined for the classification of each tissue.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b967be68ef59f4bfc9412005eb30fc29
https://pubmed.ncbi.nlm.nih.gov/25561598
https://pubmed.ncbi.nlm.nih.gov/25561598