Everton Alvares Cherman

According to our database, Everton Alvares Cherman authored at least 12 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2019

DyS: A Framework for Mixture Models in Quantification.

André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

One-Class Quantification.

Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

On the Need of Class Ratio Insensitive Drift Tests for Data Streams.

André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

2017

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors.

Vinícius M. A. de Souza, Everton Alvares Cherman, Rafael Geraldeli Rossi, Rafael A. Souza

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016

Active Learning Algorithms for Multi-label Data.

Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2014

Multi-label machine learning: exploring label dependency and active learning.

Everton Alvares Cherman

PhD thesis, 2014

A framework for multi-label exploratory data analysis: ML-EDA.

Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard

Proceedings of the XL Latin American Computing Conference, 2014

2013

ReliefF for Multi-label Feature Selection.

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain.

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee

Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning.

Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011

On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.

Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo

Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010

A Simple Approach to Incorporate Label Dependency in Multi-label Classification.

Everton Alvares Cherman, Jean Metz, Maria Carolina Monard

Proceedings of the Advances in Soft Computing, 2010