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Newton Spolaôr

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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

Newton Spolaôr finished a postdoctorate at the Western Paraná State University - UNIOESTE (2016). He also holds a Ph.D. degree in Computer Science at the Institute of Mathematics and Computer Science from the University of São Paulo, Brazil (2014). He also holds an M.Sc. degree in Information Engineering from the Federal University of ABC (2010) and a B.Sc. degree in Computer Science from the UNIOESTE (2008). He has carried out a research internship at Aristotle University of Thessaloniki in Greece (2013). Currently, he is volunteer researcher at the Laboratory of Bioinformatics at UNIOESTE and full-time temporary lecturer at UNIOESTE. Newton has experience in Computer Science, acting mainly on the following subjects: single-label and multi-label feature selection, time series clustering, medical image analysis, knowledge discovery in databases and mapping of medical data into structured databases. He also has experience in systematic review application on machine learning and educational robotics. In addition, he has worked as reviewer for scientific journals and conferences in Brazil and abroad. (Source: Lattes Curriculum)

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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (5)

(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)

Publications5
Citations44
Cit./Article8.8
Data from Web of Science

CHERMAN, EVERTON ALVARES; SPOLAOR, NEWTON; VALVERDE-REBAZA, JORGE; MONARD, MARIA CAROLINA. Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v. 80, n. 1, SI, p. S261-S276, . Web of Science Citations: 5. (11/22749-8, 11/02393-4, 13/12191-5, 10/15992-0)

SPOLAOR, NEWTON; BENITTI, FABIANE B. VAVASSORI. Robotics applications grounded in learning theories on tertiary education: A systematic review. COMPUTERS & EDUCATION, v. 112, p. 97-107, . Web of Science Citations: 13. (11/02393-4)

SPOLAOR, NEWTON; LEE, HUEI DIANA; RESENDE TAKAKI, WEBER SHOITY; WU, FENG CHUNG. Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, v. 8, n. 2, SI, p. 3-15, . Web of Science Citations: 3. (11/02393-4)

SPOLAOR, NEWTON; LORENA, ANA CAROLINA; LEE, HUEI DIANA. Feature Selection via Pareto Multi-objective Genetic Algorithms. APPLIED ARTIFICIAL INTELLIGENCE, v. 31, n. 9-10, p. 764-791, . Web of Science Citations: 0. (09/12963-2, 12/22608-8)

SPOLAOR, NEWTON; MONARD, MARIA CAROLINA; TSOUMAKAS, GRIGORIOS; LEE, HUEI DIANA. A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing, v. 180, n. SI, p. 3-15, . Web of Science Citations: 23. (11/02393-4)

Academic Publications

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

SPOLAÔR, Newton. Seleção de atributos para aprendizagem multirrótulo. Tese (Doutorado) -  Instituto de Ciências Matemáticas e de Computação.  Universidade de São Paulo (USP).  São Carlos.  (11/02393-4

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