Everton Alvares Cherman
Title
Cited by
Cited by
Year
A comparison of multi-label feature selection methods using the problem transformation approach
N SpolaôR, EA Cherman, MC Monard, HD Lee
Electronic Notes in Theoretical Computer Science 292, 135-151, 2013
1662013
Incorporating label dependency into the binary relevance framework for multi-label classification
E Alvares-Cherman, J Metz, MC Monard
Expert Systems with Applications 39 (2), 1647-1655, 2012
812012
ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard, HD Lee
2013 Brazilian Conference on Intelligent Systems, 6-11, 2013
772013
Multi-label problem transformation methods: a case study
EA Cherman, MC Monard, J Metz
CLEI Electronic Journal 14 (1), 4-4, 2011
662011
A framework to generate synthetic multi-label datasets
JT Tomás, N Spolaôr, EA Cherman, MC Monard
Electronic Notes in Theoretical Computer Science 302 (0), 155-176, 2014
402014
Filter approach feature selection methods to support multi-label learning based on relieff and information gain
N Spolaôr, EA Cherman, MC Monard, HD Lee
Brazilian Symposium on Artificial Intelligence, 72-81, 2012
392012
A simple approach to incorporate label dependency in multi-label classification
EA Cherman, J Metz, MC Monard
Mexican International Conference on Artificial Intelligence, 33-43, 2010
252010
On the estimation of predictive evaluation measure baselines for multi-label learning
J Metz, LFD de Abreu, EA Cherman, MC Monard
Ibero-American Conference on Artificial Intelligence, 189-198, 2012
212012
Using ReliefF for multi-label feature selection
N Spolaor, EA Cherman, MC Monard
Conferencia Latinoamericana de Informática, 960-975, 2011
212011
Lazy multi-label learning algorithms based on mutuality strategies
EA Cherman, N Spolaôr, J Valverde-Rebaza, MC Monard
Journal of Intelligent & Robotic Systems 80 (1), 261-276, 2015
172015
Construç ao de uma Representaç ao Atributo-valor para Extraç ao de Conhecimento a partir de Informaç oes Semi-estruturadas de Laudos Médicos
DDF Honorato, EA Cherman, HD Lee, MC Monard, F Wu
Anais do Conferencia Latinoamericana de Informática-CLEI. San José-Costa …, 2007
122007
Métodos multirrótulo independentes de algoritmo: um estudo de caso
EA Cherman, J Metz, MC Monard
Proceedings of the XXXVI Conferencia Latinoamericana de Informática (CLEI), 1-14, 2010
102010
Construction of an attribute-value representation for semi-structured medical findings knowledge extraction
D de Faveri Honorato, EA Cherman, HD Lee, MC Monard, FC Wu, ...
CLEI Electron. J. 11 (2), 2008
92008
Multi-label active learning: key issues and a novel query strategy
EA Cherman, Y Papanikolaou, G Tsoumakas, MC Monard
Evolving Systems 10 (1), 63-78, 2019
82019
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems
ME Cintra, MC Monard, EA Cherman, H de Arruda Camargo
2011 11th International Conference on Hybrid Intelligent Systems (HIS), 211-216, 2011
82011
Websensors analytics: Learning to sense the real world using web news events
RM Marcacini, RG Rossi, BM Nogueira, LV Martins, EA Cherman, ...
Anais Estendidos do XXIII Simpósio Brasileiro de Sistemas Multimídia e Web …, 2017
62017
Active learning algorithms for multi-label data
EA Cherman, G Tsoumakas, MC Monard
IFIP International Conference on Artificial Intelligence Applications and …, 2016
62016
A study on the selection of local training sets for hierarchical classification tasks
J Metz, AA Freitas, MC Monard, EA Cherman
Proc. Brazilian Nat. Meeting Artif. Intell, 572-583, 2011
62011
Utilizaç ao de Atributos Baseados em Textura para a Caracterizaç ao de Tecidos Cólicos em Imagens de Colonoscopia
CA Ferrero, HD Lee, EA Cherman, CSR Coy, JJ Fagundes, JRN Góes, ...
62007
DyS: A Framework for Mixture Models in Quantification
A Maletzke, D dos Reis, E Cherman, G Batista
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4552-4560, 2019
52019
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Articles 1–20