André Gustavo Maletzke

According to our database, André Gustavo Maletzke authored at least 18 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Accurately Quantifying under Score Variability.

André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista

Proceedings of the IEEE International Conference on Data Mining, 2021

Pitfalls in Quantification Assessment.

Waqar Hassan, André Gustavo Maletzke, Gustavo Batista

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accurately Quantifying a Billion Instances per Second.

Waqar Hassan, André Gustavo Maletzke, Gustavo E. A. P. A. Batista

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

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

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

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

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 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

Classifying and Counting with Recurrent Contexts.

Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Quantification in Data Streams: Initial Results.

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

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Exploring shapelet transformation for time series classification in decision trees.

Willian Zalewski, Fabiano Silva, André Gustavo Maletzke, Carlos Andres Ferrero

Knowl. Based Syst., 2016

2014

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

Proceedings of the Soft Computing for Business Intelligence, 2014

2013

Symbolic Representation Based on Temporal Order Information for Time Series Classification.

Willian Zalewski, Fabiano Silva, André Gustavo Maletzke, Feng Chung Wu, Huei Diana Lee

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

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

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

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

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

2008

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

Proceedings of the Advances in Bioinformatics and Computational Biology, 2008