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Tag Archives: machine learning
A simple screening method for patients with zika virus
A recent research article in partnership of Recodists Prof. Anderson Rocha, Prof. Sandra Avila and Luiz Navarro and researchers at the Faculty of Pharmacy led by Prof. Rodrigo Catharino published at Frontiers in Bioengineering and Biotechnology journal is getting the … Continue reading
Posted in blog, media, publications, science
Tagged Aline Amorim, Anderson Rocha, André Ricardo Ribas Freitas, Carlos Fernando O. Melo, Carolina do Vale, Caroline Aoyagui, Cibele Esteves, Clarice Arns, Diogo N. De Oliveira, Diseases diagnosis, Eliana Amaral, Estela d. Lima, Fabio T. Costa, Front. Bioeng. Biotechnol., Frontiers in Bioengineering and Biotechnology, Gabriela Mansano, Guilherme Milanez, Helaine Milanez, high-resolution mass spectrometry, Jeany Delafiori, Jose Luiz Proenca-Modena, Karen N. Morishita, Luiz C. Navarro, machine learning, Maico de Menezes, Maria Moretti, Mariangela Resende, Marta Ribeiro, Mohamed Z. Dabaja, Pierina Parise, Rafael Rodrigues, random forest, Renato Junior, Rodrigo Angerami, Rodrigo R. Catharino, Sandra Avila, Tatiane M. Guerreiro, Virus Diseases, Zika diagnosis, Zika virus
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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
RECOD on the news
With the advances of artificial intelligence (AI), specially machine learning, many areas can take advantages of these emerging technologies. The learning experience, for instance, could be much more personal with algorithms that are able to identify possible difficulties of one … Continue reading
Posted in blog, extra, media
Tagged Anderson Rocha, education, machine learning, news, O Globo, Pequenas Empresas & Grandes Negócios
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On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships
In this article, recently accepted at PLOS ONE journal and available as open access, the authors propose a framework for reconstructing text evolutionary trees, aiming at reconstructing the history of modifications that a set of related documents has gone through. … 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
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Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae)
In a multi-disciplinary research work between computer science and biology, this paper assesses image analysis techniques as automatic identifiers of three Anastrepha species of quarantine importance, Anastrepha fraterculus (Wiedemann), Anastrepha obliqua (Macquart), and Anastrepha sororcula Zucchi, based on wing and … Continue reading
Posted in blog, publications, science
Tagged Anastrepha Fruit, Anderson Rocha, Fábio Faria, Fraterculus, Identification, image analysis, L. R. Jorge, M. F. Souza-Filho, machine learning, Neotropical Entomology, P. Perre, R. A. Zucchi, Ricardo Torres, Springer, T. M. Lewinsohn, taxonomy
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Illuminant-based Transformed Spaces for Image Forensics
We live in a digital age where images are considered one of the most powerful communication media. In this context, the development of methods for verifying image authenticity is a real need of the modern society. In this research paper, … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, digital forensics, diversity measures, Fábio Faria, Forgery, Helio Pedrini, IEEE TIFS, illuminant maps, Image color analysis, image descriptors, Light sources, Lighting, machine learning, Ricardo Torres, Shape, Splicing, splicing detection, Tiago Carvalho, Visualization
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Large-scale learning for media understanding
Written by professor Anderson Rocha from RECOD (Unicamp) and professor Walter Scheirer from University of Notre Dame, the editorial article of the EURASIP Journal on Image and Video Processing special issue Large-scale learning for media understanding, came available online recently … Continue reading
Posted in publications, science
Tagged Anderson Rocha, editorial, JIVP, LSLMU, machine learning, open access, researcher’s guide, visual data, Walter Scheirer
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Prof. Goldenstein has a paper accepted at JISA
Kleber Stroeh, Prof. Edmundo Madeira and Prof. Siome Goldenstein had a paper accepted at the Journal of Internet Services and Applications: An approach to the correlation of security events based on machine learning techniques. Here’s the abstract: This work presents an approach on … Continue reading
Posted in publications
Tagged Edmundo Madeira, intrusion detection, JISA, Kleber Stroeh, machine learning, security, Siome Goldenstein
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