Best Paper Award @ WPPGCC2019
The paper “Auxílio no diagnóstico da doença de Alzheimer a partir de imagens de ressonância magnética utilizando competição e cooperação entre partículas” (“Diagnostic aid for Alzheimer’s disease from magnetic resonance imaging using particle competition and cooperation”) authored by Caio Oliveira Carneloz and Fabricio Aparecido Breve received the award of Best Paper presented at the IX Workshop do Programa de Pós-Graduação em Ciência da Computação da Unesp (WPPGCC 2019), which took place at Bauru-SP last week.
Congratulations Caio! Keep up with the good work!
Fabricio Breve
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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