Fabricio Breve

Rio Claro, SP, Brazil

Fabricio Breve received his bachelor's degree from the Methodist University of Piracicaba, Brazil in 2001, his master's degree from the Federal University of Sao Carlos, Brazil in 2006, and his Ph.D. from the University of Sao Paulo, Brazil in 2010, with a collaborative period at the University of Alberta, Canada. He is currently an associate professor at Sao Paulo State University, Brazil. His research interests include machine learning, pattern recognition, image processing, artificial neural networks, complex networks, and nature-inspired computing.

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Author's posts

Interactive image segmentation using label propagation through complex networks – final version / free access

The paper Interactive image segmentation using label propagation through complex networks, accepted for publication in Expert Systems with Applications, just had its final version published today. The final version may be downloaded free of charge (no signup nor registration fees) until March, 02, through this link.

Permanent link to this article: https://www.fabriciobreve.com/2019/01/11/interactive-image-segmentation-using-label-propagation-through-complex-networks-final-version-free-access/

Paper accepted @ Expert Systems With Applications

My paper Interactive Image Segmentation using Label Propagation through Complex Networks was accepted for publication in the international journal Expert Systems With Applications. The accepted manuscript is available here. It should appear as an “article in proofs” on ScienceDirect within the next two weeks. The final version should appear in the journal within the next 2~3 months.

Permanent link to this article: https://www.fabriciobreve.com/2019/01/08/paper-accepted-expert-systems-with-applications/

Best Paper Award @ WPPGCC2018

The paper “Segmentação Interativa de Imagens usando Redes Complexas e Competição e Cooperação entre Partículas” authored by Jefferson Antonio Ribeiro Passerini and Fabricio Aparecido Breve received the award of Best Paper at the VIII Workshop do Programa de Pós-Graduação em Ciência da Computação da Unesp (WPPGCC 2018), which took place at Presidente Prudente-SP in November, 2018. …

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Permanent link to this article: https://www.fabriciobreve.com/2018/12/13/best-paper-award-wppgcc2018/

Processo Seletivo – Mestrado em Ciência da Computação – UNESP

INSCRIÇÕES ABERTAS ATÉ 30/11/2018 Está aberto o edital de processo seletivo para o Programa de Pós-Graduação em Ciência de Computação (PPGCC) da Universidade Estadual Paulista “Júlio de Mesquita Filho” – UNESP, Mestrado, oferecido em conjunto com o Instituto de Biociências, Letras e Ciências Exatas (São José do Rio Preto), Faculdade de Ciências (Bauru), Faculdade de …

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Permanent link to this article: https://www.fabriciobreve.com/2018/11/07/processo-seletivo-mestrado-em-ciencia-da-computacao-unesp/

New title and position: “Livre-Docente” – Associate Professor

Yesterday and today I took the exams (written exam, didactic exam and oral argument) to achieve the “Livre-Docente em Redes de Computadores” title and become a “Professor Adjunto”, which is equivalent to an “Associate Professor” in the North America system. The examination committee was composed by Prof. Dr. Carlos Norberto Fischer, Prof. Dr. João Paulo Papa, …

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Permanent link to this article: https://www.fabriciobreve.com/2018/06/20/new-title-and-position-livre-docente-associate-professor/

Optical Character Recognition Using Deep Learning – Master’s Dissertation

MSc student Claudio Filipe Gonçalves dos Santos defended his master’s dissertation, titled “Optical Character Recognition Using Deep Learning”, yesterday. He was unanimously approved. Congratulations Claudio! Thanks to Prof. Dr. Ricardo Cerri (UFSCar) and Prof. Dr. João Paulo Papa (UNESP) for agreeing to participate in the examination committee.

Permanent link to this article: https://www.fabriciobreve.com/2018/04/27/optical-character-recognition-using-deep-learning-masters-dissertation/

Hello world!

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Permanent link to this article: https://www.fabriciobreve.com/2018/04/11/hello-world/

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