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Ricardo Cerri

CV Lattes GoogleMyCitations ResearcherID ORCID


Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Graduated in Bachelor in Computer Science from São Paulo State University Julio de Mesquita Filho, and M.Sc and P.hD in Computer Science and Computational Mathematics at the University of São Paulo (ICMC/USP). During his PhD, he was a visiting researcher at University of Surrey and University of Kent, both in United Kingdom. Has experience in Computer Science, working mainly with the themes Bioinformatics, Machine Learning and Advanced Techniques for Data Classification and Regression, with special interest in multi-output learning (multi-label / multi-target / hierarchical prediction). He is currently an Assistant Professor at the Department of Computer Science in Federal University of São Carlos, supervising graduate and bachelor students. (Source: Lattes Curriculum)

Research grants
Scholarships in Brazil
Scholarships abroad
FAPESP support in numbers * Updated December 14, 2019
Total / Available in English
Most frequent collaborators in research granted by FAPESP
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (3)

(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)

Publications3
Citations17
Cit./Article5.7
Data from Web of Science

SCHIETGAT, LEANDER; VENS, CELINE; CERRI, RICARDO; FISCHER, CARLOS N.; COSTA, EDUARDO; RAMON, JAN; CARARETO, CLAUDIA M. A.; BLOCKEEL, HENDRIK. A machine learning based framework to identify and classify long terminal repeat retrotransposons. PLOS COMPUTATIONAL BIOLOGY, v. 14, n. 4, . Web of Science Citations: 2.

CERRI, RICARDO; BASGALUPP, MARCIO P.; BARROS, RODRIGO C.; DE CARVALHO, ANDRE C. P. L. F.. Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. APPLIED SOFT COMPUTING, v. 77, p. 584-604, . Web of Science Citations: 1.

CERRI, RICARDO; BARROS, RODRIGO C.; DE CARVALHO, ANDRE C. P. L. F.; JIN, YAOCHU. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, v. 17, . Web of Science Citations: 14.

Academic Publications

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

CERRI, Ricardo. Técnicas de classificação hierárquica multirrótulo. 2010. Dissertação (Mestrado) - Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

CERRI, Ricardo. Redes neurais e algoritmos genéticos para problemas de classificação hierárquica multirrótulo. 2013. Tese (Doutorado) – Instituto de Ciências Matemáticas e de Computação. Universidade de São Paulo (USP). São Carlos.

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