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Everton Alvares Cherman
Tytuł
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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
2132013
ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard, HD Lee
2013 Brazilian Conference on Intelligent Systems, 6-11, 2013
1222013
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
962012
Multi-label problem transformation methods: a case study
EA Cherman, MC Monard, J Metz
CLEI Electronic Journal 14 (1), 4-4, 2011
952011
A framework to generate synthetic multi-label datasets
JT Tomás, N Spolaôr, EA Cherman, MC Monard
Electronic Notes in Theoretical Computer Science 302, 155-176, 2014
502014
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
482012
A simple approach to incorporate label dependency in multi-label classification
E Alvares Cherman, J Metz, MC Monard
Mexican International Conference on Artificial Intelligence, 33-43, 2010
302010
Using ReliefF for multi-label feature selection
N Spolaor, EA Cherman, MC Monard
Conferencia Latinoamericana de Informática, 960-975, 2011
262011
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
222015
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
222012
Construção de uma representação atributo-valor para extração de conhecimento a partir de informações semi-estruturadas de laudos médicos
DF Honorato, FC Wu, EA Cherman, HD Lee, MC Monard
Memorias, 2007
122007
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 (01), 4552-4560, 2019
112019
IMAGE PROCESSING IN MOBILE DEVICES TO CLASSIFY PRESSURE INJURIES.
C Mayara Tibes, E Alvares Cherman, V Mourão Alves de Souza, ...
Journal of Nursing UFPE/Revista de Enfermagem UFPE 10 (11), 2016
11*2016
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
102019
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
102017
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
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
92011
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
Towards automatic evaluation of asphalt irregularity using smartphone’s sensors
V Souza, EA Cherman, RG Rossi, RA Souza
International Symposium on Intelligent Data Analysis, 322-333, 2017
82017
Active learning algorithms for multi-label data
EA Cherman, G Tsoumakas, MC Monard
IFIP International Conference on Artificial Intelligence Applications and …, 2016
82016
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