Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms. - Willian Zalewski; Huei Diana Lee; Adewole M. J. F. Caetano; Ana Carolina Lorena; André Gustavo Maletzke; João José Fagundes; Cláudio Saddy Rodrigues Coy; Feng Chung Wu (BSB, 2008)

Time Series Discretization Based on the Approximation of the Local Slope Information. - Willian Zalewski; Fabiano Silva; Huei Diana Lee; André Gustavo Maletzke; Feng Chung Wu (IBERAMIA, 2012)

A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series. - Willian Zalewski; Fabiano Silva; Feng Chung Wu; Huei Diana Lee; André Gustavo Maletzke (SBIA, 2012)

Symbolic Representation Based on Temporal Order Information for Time Series Classification. - Willian Zalewski; Fabiano Silva; André Gustavo Maletzke; Feng Chung Wu; Huei Diana Lee (BRACIS, 2013)

Time Series Classification with Motifs and Characteristics. - André Gustavo Maletzke; Huei Diana Lee; Gustavo Enrique; Almeida Prado Alves Batista; Cláudio Saddy Rodrigues Coy; João José Fagundes; Feng Chung Wu (Soft Computing for Business Intelligence, 2014)

Exploring shapelet transformation for time series classification in decision trees. - Willian Zalewski; Fabiano Silva; André Gustavo Maletzke; Carlos Andres Ferrero (Knowl. Based Syst., 2016)

Quantification in Data Streams: Initial Results. - André Gustavo Maletzke; Denis Moreira dos Reis; Gustavo E. A. P. A. Batista (BRACIS, 2017)

Classifying and Counting with Recurrent Contexts. - Denis Moreira dos Reis; André Gustavo Maletzke; Diego Furtado Silva; Gustavo E. A. P. A. Batista (KDD, 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 (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)

Unsupervised context switch for classification tasks on data streams with recurrent concepts. - Denis Moreira dos Reis; André Gustavo Maletzke; Gustavo E. A. P. A. Batista (SAC, 2018)

Combining instance selection and self-training to improve data stream quantification. - André Gustavo Maletzke; Denis Moreira dos Reis; Gustavo E. A. P. A. Batista (J. Braz. Comput. Soc., 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)

Accurately Quantifying a Billion Instances per Second. - Waqar Hassan; André Gustavo Maletzke; Gustavo E. A. P. A. Batista (DSAA, 2020)

The Importance of the Test Set Size in Quantification Assessment. - André Gustavo Maletzke; Waqar Hassan; Denis Moreira dos Reis; Gustavo E. A. P. A. Batista (IJCAI, 2020)

Challenges in benchmarking stream learning algorithms with real-world data. - Vinícius M. A. de Souza; Denis Moreira dos Reis; André Gustavo Maletzke; Gustavo E. A. P. A. Batista (Data Min. Knowl. Discov., 2020)

Pitfalls in Quantification Assessment. - Waqar Hassan; André Gustavo Maletzke; Gustavo Batista (CIKM Workshops, 2021)

Accurately Quantifying under Score Variability. - André Gustavo Maletzke; Denis Moreira dos Reis; Waqar Hassan; Gustavo Batista (ICDM, 2021)