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Category Archives: publications
RECOD is Top 10 on international competition for melanoma classification
A team of RECOD researchers participated for the second time on the melanoma classification task at the melanoma diagnostic challenge promoted by the International Skin Imaging Collaboration. This year the number of participants grew 6 times regarding last edition, reaching 77 … Continue reading
Posted in awards, blog, extra, publications, science
Tagged 2nd International Educational Symposium of the Melanoma World, Alceu Bissoto, Eduardo Valle, Fábio Perez, GANs, International Skin Imaging Collaboration, melanoma, melanoma diagnostic challenge, Michel Fornaciali, Sandra Avila, Vinícius Ribeiro
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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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Image Provenance Analysis at Scale
In this article, the authors present a fully automated large-scale end-to-end pipeline that starts with the step of provenance image filtering (over millions of images) and ends up with the provenance graphs. The most immediate application of provenance image filtering … Continue reading
Posted in blog, DéjàVu, publications, science
Tagged Allan Pinto, Anderson Rocha, Aparna Bharati, arXiv.org, Daniel Moreira, Digital Humanities, Digital Image Forensics, Graphs, image phylogeny, Image Provenance, Image Provenance Analysis, image retrieval, Joel Brogan, Kevin W. Bowyer, Michael Parowski, Patrick J. Flynn, Provenance Analysis, Provenance Analysis at Scale, Walter J. Scheirer
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Leveraging deep neural networks to fight child pornography in the age of social media
Over the past two decades, the nature of child pornography in terms of generation, distribution and possession of images drastically changed, evolving from basically covert and offline exchanges of content to a massive network of contacts and data sharing. Nowadays, … Continue reading
Posted in blog, DéjàVu, publications, science
Tagged Anderson Rocha, child pornography, DéjàVu, Deep learning, fine tunig, JVCI, Mauricio Perez, Paulo Vitorino, Sandra Avila, SEIC content, transfer learning
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Talks: LIRMM and WIFS 2017, France
Prof. Anderson Rocha is visiting the Montpellier Laboratory of Informatics, Robotics and Microelectronics (LIRMM), Montpellier, France, hosted by Prof. William Puech. Two talks were/will be given: Talk #1: Dec. 12th, 2017 Interpretation of Events from Heterogenous Data: How to Connect … Continue reading
Posted in blog, DéjàVu, Keynotes, publications, science, talk
Tagged Anderson Rocha, DéjàVu, France, IEEE, LIRMM, Montpellier, Rennes, talk, WIFS, William Puech
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Graph-based Bag-of-Words for Classification
This paper, entitled Graph-based Bag-of-Words for Classification, introduces the Bag of Graphs (BoG), a Bag-of-Words model that encodes in graphs the local structures of a digital object. It presents a formal definition, introducing concepts and rules that make this model … Continue reading
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
User-Centric Coordinates for Applications Leveraging 3-Axis Accelerometer Data
Mobile devices are becoming ubiquitous and, sometimes, even extensions of ourselves. These devices are growing fast in terms of delivered computational power, storage capacity, battery duration, and built-in sensors. Time and again, we see headlines advertising new unforeseen applications leveraging … Continue reading
RECOD at ICIP 2017
The 2017 IEEE International Conference on Image Processing (ICIP 2017), to be held in China on September, will have three papers from RECOD. These papers are examples of the obtained results from the collaboration between University of Campinas and University … Continue reading
RECOD — Reasoning for Complex Data 