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Feature Selection for Multi-label Learning

Grant number: 11/02393-4
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2011
Effective date (End): July 31, 2014
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal researcher:Maria Carolina Monard
Grantee:Newton Spolaôr
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):12/23906-2 - Feature selection for multi-label learning, BE.EP.DR

Scientific publications (4)
(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)
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, SEP 2017. Web of Science Citations: 13.
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, MAR 5 2016. Web of Science Citations: 23.
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, DEC 11 2015. Web of Science Citations: 3.
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, DEC 2015. Web of Science Citations: 5.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SPOLAÔR, Newton. Feature selection for multi-label learning. 2014. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação São Carlos.

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