André Gustavo Maletzke
According to our database1, André Gustavo Maletzke authored at least 13 papers between 2008 and 2019.
Legend:Book In proceedings Article PhD thesis Other
DyS: A Framework for Mixture Models in Quantification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Combining instance selection and self-training to improve data stream quantification.
J. Braz. Comp. Soc., 2018
Unsupervised context switch for classification tasks on data streams with recurrent concepts.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
On the Need of Class Ratio Insensitive Drift Tests for Data Streams.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Classifying and Counting with Recurrent Contexts.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Quantification in Data Streams: Initial Results.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
Exploring shapelet transformation for time series classification in decision trees.
Knowl. Based Syst., 2016
Time Series Classification with Motifs and Characteristics.
Proceedings of the Soft Computing for Business Intelligence, 2014
Symbolic Representation Based on Temporal Order Information for Time Series Classification.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012
Time Series Discretization Based on the Approximation of the Local Slope Information.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008