Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction. - Daniel de Faveri Honorato; Everton Alvares Cherman; Huei Diana Lee; Maria Carolina Monard; Feng Chung Wu (CLEI Electron. J., 2008)

A Simple Approach to Incorporate Label Dependency in Multi-label Classification. - Everton Alvares Cherman; Jean Metz; Maria Carolina Monard (MICAI (2), 2010)

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 (HIS, 2011)

Multi-label Problem Transformation Methods: a Case Study. - Everton Alvares Cherman; Maria Carolina Monard; Jean Metz (CLEI Electron. J., 2011)

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 (IBERAMIA, 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 (SBIA, 2012)

A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (CLEI Selected Papers, 2012)

Incorporating label dependency into the binary relevance framework for multi-label classification. - Everton Alvares Cherman; Jean Metz; Maria Carolina Monard (Expert Syst. Appl., 2012)

ReliefF for Multi-label Feature Selection. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (BRACIS, 2013)

A Framework to Generate Synthetic Multi-label Datasets. - Jimena Torres Tomás; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI Selected Papers, 2013)

A framework for multi-label exploratory data analysis: ML-EDA. - Victor Augusto Moraes Carvalho; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI, 2014)

Multi-label machine learning: exploring label dependency and active learning. - Everton Alvares Cherman (2014)

Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. - Jean Metz; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CoRR, 2015)

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. - Everton Alvares Cherman; Newton Spolaôr; Jorge Carlos Valverde-Rebaza; Maria Carolina Monard (J. Intell. Robotic Syst., 2015)

Active Learning Algorithms for Multi-label Data. - Everton Alvares Cherman; Grigorios Tsoumakas; Maria Carolina Monard (AIAI, 2016)

Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors. - Vinícius M. A. de Souza; Everton Alvares Cherman; Rafael Geraldeli Rossi; Rafael A. Souza (IDA, 2017)

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 (LIDTA@ECML/PKDD, 2018)

One-Class Quantification. - Denis Moreira dos Reis; André Gustavo Maletzke; Everton Alvares Cherman; Gustavo Enrique De Almeida Prado Alves Batista (ECML/PKDD (1), 2018)

DyS: A Framework for Mixture Models in Quantification. - André Gustavo Maletzke; Denis Moreira dos Reis; Everton Alvares Cherman; Gustavo E. A. P. A. Batista (AAAI, 2019)

Multi-label active learning: key issues and a novel query strategy. - Everton Alvares Cherman; Yannis Papanikolaou; Grigorios Tsoumakas; Maria Carolina Monard (Evol. Syst., 2019)