Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bernardo Vecchia Stein"'
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:
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:
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