Everton Alvares Cherman

20 papers A* 1B 1C 2Misc 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2019 A* conf
DyS: A Framework for Mixture Models in Quantification.
AAAI
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
2019 J jnl
Multi-label active learning: key issues and a novel query strategy.
Evol. Syst.
Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
2018 — conf
On the Need of Class Ratio Insensitive Drift Tests for Data Streams.
LIDTA@ECML/PKDD
André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista
2018 — conf
One-Class Quantification.
ECML/PKDD (1)
Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista
2017 B conf
Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors.
IDA
Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza
2016 Misc conf
Active Learning Algorithms for Multi-label Data.
AIAI
Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard
2015 J jnl
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier.
CoRR
Jean Metz, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2015 J jnl
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies.
J. Intell. Robotic Syst.
Everton Alvares Cherman, Newton Spolaôr, Jorge Carlos Valverde-Rebaza, Maria Carolina Monard
2014 C conf
A framework for multi-label exploratory data analysis: ML-EDA.
CLEI
Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2014 — —
Multi-label machine learning: exploring label dependency and active learning.
Everton Alvares Cherman
2013 — conf
A Framework to Generate Synthetic Multi-label Datasets.
CLEI Selected Papers
Jimena Torres Tomás, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
2013 — conf
ReliefF for Multi-label Feature Selection.
BRACIS
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2012 — conf
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach.
CLEI Selected Papers
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2012 — conf
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain.
SBIA
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
2012 J jnl
Incorporating label dependency into the binary relevance framework for multi-label classification.
Expert Syst. Appl.
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
2012 — conf
On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning.
IBERAMIA
Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard
2011 J jnl
Multi-label Problem Transformation Methods: a Case Study.
CLEI Electron. J.
Everton Alvares Cherman, Maria Carolina Monard, Jean Metz
2011 C conf
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
HIS
Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo
2010 — conf
A Simple Approach to Incorporate Label Dependency in Multi-label Classification.
MICAI (2)
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
2008 J jnl
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction.
CLEI Electron. J.
Daniel de Faveri Honorato, Everton Alvares Cherman, Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu