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Exploring label dependency in multilabel learning

Grant number: 10/15992-0
Support Opportunities:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): December 01, 2010
Effective date (End): October 31, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Maria Carolina Monard
Grantee:Everton Alvares Cherman
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):11/21723-5 - Active learning algorithms for multi-label data, BE.EP.DD
News published in Agência FAPESP Newsletter about the scholarship:
Articles published in other media outlets (0 total):
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Scientific publications
(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)
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, . (11/22749-8, 10/15992-0, 11/02393-4, 13/12191-5)
CHERMAN, EVERTON ALVARES; PAPANIKOLAOU, YANNIS; TSOUMAKAS, GRIGORIOS; MONARD, MARIA CAROLINA. Multi-label active learning: key issues and a novel query strategy. EVOLVING SYSTEMS, v. 10, n. 1, SI, p. 63-78, . (11/21723-5, 10/15992-0)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
CHERMAN, Everton Alvares. Multi-label machine learning: exploring label dependency and active learning. 2014. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

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