Everton Alvares Cherman

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 8

Top Venues

CLEI Selected Papers

CoRR

SBIA

CLEI

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
Multi-label active learning: key issues and a novel query strategy. Evol. Syst. 10 (1) (2019)
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
DyS: A Framework for Mixture Models in Quantification. AAAI (2019)
Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista
One-Class Quantification. ECML/PKDD (1) (2018)
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
On the Need of Class Ratio Insensitive Drift Tests for Data Streams. LIDTA@ECML/PKDD (2018)
Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza
Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. IDA (2017)
Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard
Active Learning Algorithms for Multi-label Data. AIAI (2016)
Everton Alvares Cherman, Newton Spolaôr, Jorge Carlos Valverde-Rebaza, Maria Carolina Monard
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Jean Metz, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. CoRR (2015)
Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
A framework for multi-label exploratory data analysis: ML-EDA. CLEI (2014)
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
ReliefF for Multi-label Feature Selection. BRACIS (2013)
Jimena Torres Tomás, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
A Framework to Generate Synthetic Multi-label Datasets. CLEI Selected Papers (2013)
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Syst. Appl. 39 (2) (2012)
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. CLEI Selected Papers (2012)
Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard
On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning. IBERAMIA (2012)
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain. SBIA (2012)
Everton Alvares Cherman, Maria Carolina Monard, Jean Metz
Multi-label Problem Transformation Methods: a Case Study. CLEI Electron. J. 14 (1) (2011)
Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems. HIS (2011)
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
A Simple Approach to Incorporate Label Dependency in Multi-label Classification. MICAI (2) (2010)
Daniel de Faveri Honorato, Everton Alvares Cherman, Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction. CLEI Electron. J. 11 (2) (2008)

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Publication Activity (10 Years)

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Everton Alvares Cherman