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André Gustavo Maletzke
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2020 – today
- 2021
- [c14]Waqar Hassan, André Gustavo Maletzke, Gustavo Batista:
Pitfalls in Quantification Assessment. CIKM Workshops 2021 - [c13]André Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan
, Gustavo Batista:
Accurately Quantifying under Score Variability. ICDM 2021: 1228-1233 - 2020
- [j3]Vinícius M. A. de Souza
Challenges in benchmarking stream learning algorithms with real-world data. Data Min. Knowl. Discov. 34(6): 1805-1858 (2020) - [c12]Waqar Hassan
Accurately Quantifying a Billion Instances per Second. DSAA 2020: 1-10 - [c11]André Gustavo Maletzke, Waqar Hassan
The Importance of the Test Set Size in Quantification Assessment. IJCAI 2020: 2640-2646 - [i1]Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. CoRR abs/2005.00113 (2020)
2010 – 2019
- 2019
- [c10]André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista:
DyS: A Framework for Mixture Models in Quantification. AAAI 2019: 4552-4560 - 2018
- [j2]André Gustavo Maletzke, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista:
Combining instance selection and self-training to improve data stream quantification. J. Braz. Comput. Soc. 24(1): 12:1-12:17 (2018) - [c9]Denis Moreira dos Reis, André Gustavo Maletzke, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Classifying and Counting with Recurrent Contexts. KDD 2018: 1983-1992 - [c8]André Gustavo Maletzke, Denis Moreira dos Reis, Everton Alvares Cherman, Gustavo E. A. P. A. Batista:
On the Need of Class Ratio Insensitive Drift Tests for Data Streams. LIDTA@ECML/PKDD 2018: 110-124 - [c7]Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista:
One-Class Quantification. ECML/PKDD (1) 2018: 273-289 - [c6]Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
Unsupervised context switch for classification tasks on data streams with recurrent concepts. SAC 2018: 518-524 - 2017
- [c5]André Gustavo Maletzke, Denis Moreira dos Reis, Gustavo E. A. P. A. Batista:
Quantification in Data Streams: Initial Results. BRACIS 2017: 43-48 - 2016
- [j1]Willian Zalewski, Fabiano Silva, André Gustavo Maletzke, Carlos Andres Ferrero:
Exploring shapelet transformation for time series classification in decision trees. Knowl. Based Syst. 112: 80-91 (2016) - 2014
- [p1]André Gustavo Maletzke, Huei Diana Lee
Time Series Classification with Motifs and Characteristics. Soft Computing for Business Intelligence 2014: 125-138 - 2013
- [c4]Willian Zalewski, Fabiano Silva, André Gustavo Maletzke, Feng Chung Wu, Huei Diana Lee
Symbolic Representation Based on Temporal Order Information for Time Series Classification. BRACIS 2013: 95-100 - 2012
- [c3]Willian Zalewski, Fabiano Silva
Time Series Discretization Based on the Approximation of the Local Slope Information. IBERAMIA 2012: 91-100 - [c2]Willian Zalewski, Fabiano Silva
A Symbolic Representation Method to Preserve the Characteristic Slope of Time Series. SBIA 2012: 132-141
2000 – 2009
- 2008
- [c1]Willian Zalewski, Huei Diana Lee
Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms. BSB 2008: 178-181
Coauthor Index
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