Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. - Denis Moreira dos Reis; Peter A. Flach; Stan Matwin; Gustavo E. A. P. A. Batista (KDD, 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)

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)

Quantifying With Only Positive Training Data. - Denis Moreira dos Reis; Marcílio de Souto; Elaine P. M. de Sousa; Gustavo E. A. P. A. Batista (CoRR, 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)

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