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Rodrigo Coelho Barros

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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Dr. Barros received his BSc degree in Computer Science from UFPel (2007), his MSc degree in Computer Science from PUCRS (2009), and his PhD degree in Computer Science and Computational Mathematics from USP (2013). He was a visiting research assistant at the University of Kent, UK, between 2012 and 2013. Dr. Barros received the "Best Thesis in Computer Science Award" from both the Brazilian Computer Society (SBC) and CAPES, due to his outstanding PhD dissertation entitled "On the automatic design of decision-tree induction algorithms". Currently he is Associate Professor in the School of Technology, PUCRS, where he leads the Machine Intelligence and Robotics research group (MIR). He has published over 90 refereed papers in premier journals and conferences such as IEEE Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), International Conference on Machine Learning (ICML), IEEE Transactions on Evolutionary Computation, ACM Computing Surveys, among others. He received the best paper award in numerous occasions in conferences such as ACM GECCO, IEEE CEC, IJCNN, FLAIRS, and BRACIS. His research project received the Google Research Awards for Latin America in three consecutive editions. He supervises MSc and PhD students in topics related to Machine Learning and Evolutionary Computation, with applications to computer vision, natural language processing, audio processing, and bioinformatics. He is co-founder of Teia Labs, the first Artificial Intelligence startup of Rio Grande do Sul. (Source: Lattes Curriculum)

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Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (2)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Data from Web of Science

BARROS, RODRIGO C.; BASGALUPP, MARCIO P.; DE CARVALHO, ANDRE C. P. L. F.. Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genetic Programming and Evolvable Machines, v. 16, n. 3, p. 241-281, . Web of Science Citations: 1. (09/14325-3)

BARROS, RODRIGO C.; BASGALUPP, MARCIO P.; FREITAS, ALEX A.; DE CARVALHO, ANDRE C. P. L. F.. Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, v. 18, n. 6, p. 873-892, . Web of Science Citations: 18. (09/14325-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

BARROS, Rodrigo Coelho. Sobre o projeto automático de algoritmos de indução de árvores de decisão. 2013. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

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