Blogroll
Categories
-
Recent Posts
Archives
- December 2018
- October 2018
- September 2018
- August 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- July 2015
- December 2014
- November 2014
- October 2014
- August 2014
- July 2014
- June 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
Tag Archives: Rafael Werneck
Kuaa: A unified framework for design, deployment, execution, and recommendation of ML experiments
Several libraries and machine-learning frameworks have been proposed in the literature to support users in the process of defining the most appropriate methods for their applications. However, many frameworks have limitations including the lack of flexibility to include novel proposed … Continue reading
Nearest neighbors distance ratio open-set classifier
We are very glad to announce that our paper entitled “Nearest neighbors distance ratio open-set classifier” has been accepted in the very prestigious Springer Machine Learning journal. In this work, the authors propose a novel multiclass classifier for open-set recognition … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Bernardo Stein, Daniel Pazinato, machine learning, Nearest neighbors distance ratio, Nearest-Neighbor, open set recognition, Open-set evaluation measures, Open-Set NN, OSNN, Otávio Penatti, Pedro Mendes Júnior, Rafael Werneck, Ricardo Torres, Roberto Medeiros de Souza, Waldir Almeida
Leave a comment
Where is my puppy? Retrieving lost dogs by facial features
A pet that goes missing is among many people’s worst fears: a moment of distraction is enough for a dog or a cat wandering off from home. Some measures help matching lost animals to their owners; but automated visual recognition … Continue reading
RECOD paper has been selected to compose the 2015 list of honored papers in the Computers in Biology and Medicine journal
We are very happy to announce that our paper “Mid-level image representations for real-time heart view plane classification of echocardiograms” has been selected to compose the 2015 list of honored papers in the Computers in Biology and Medicine journal. The … Continue reading
Posted in awards, blog
Tagged 2015, Anderson Rocha, award, Bernardo Stein, Computers in Biology and Medicine, Daniel Pazinato, echocardiograms, Esteemed Paper, honored papers, mid-level image representations, Otávio Penatti, Pedro Mendes Júnior, Rafael Werneck, Ricardo Torres, Waldir Almeida
Leave a comment
Mid-level image representations for real-time heart view plane classification of echocardiograms
Bag of visual words is common technique used in by the computer vision community in visual recognition problems. In this paper, the authors explored it in a mid-level image representation for real-time heart view plane classification of 2D echocardiogram ultrasound … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Bernardo Stein, Computers in Biology and Medicine, Daniel Pazinato, Echocardiography, Elsevier, Feature extraction, Image classification, Otávio Penatti, Pattern analysis, Pedro Mendes Júnior, Rafael Werneck, Real-time systems, Ricardo Torres, Waldir Almeida
2 Comments
Paper on Echocardiography accepted at Elsevier Journal of Computers in Biology and Medicine
RECOD research group had a paper accepted on Elsevier Journal of Computers in Biology and Medicine. The paper is one of the results of a partnership of RECOD and SAMSUNG Advanced Technologies Group. Echocardiography plays an important role aiding cardiologists … Continue reading