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André Gustavo Maletzke
André Gustavo Maletzke
Assistant Professor / UNIOESTE
E-mail confirmado em unioeste.br - Página inicial
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Challenges in benchmarking stream learning algorithms with real-world data
VMA Souza, DM dos Reis, AG Maletzke, GE Batista
Data Mining and Knowledge Discovery 34 (6), 1805-1858, 2020
1112020
DyS: A framework for mixture models in quantification
A Maletzke, D dos Reis, E Cherman, G Batista
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4552-4560, 2019
362019
Combining instance selection and self-training to improve data stream quantification
AG Maletzke, DM dos Reis, GE Batista
Journal of the Brazilian Computer Society 24, 1-17, 2018
322018
Classifying and counting with recurrent contexts
D Moreira dos Reis, A Maletzke, DF Silva, GE Batista
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
312018
Accurately quantifying a billion instances per second
W Hassan, A Maletzke, G Batista
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
212020
Quantification in data streams: Initial results
AG Maletzke, DM dos Reis, GE Batista
2017 Brazilian Conference on Intelligent Systems (BRACIS), 43-48, 2017
182017
Exploring shapelet transformation for time series classification in decision trees
W Zalewski, F Silva, AG Maletzke, CA Ferrero
Knowledge-Based Systems 112, 80-91, 2016
182016
One-class Quantification
D dos Reis, A Maletzke, E Cherman, G Batista
172018
Time series discretization based on the approximation of the local slope information
W Zalewski, F Silva, HD Lee, AG Maletzke, FC Wu
Advances in Artificial Intelligence–IBERAMIA 2012: 13th Ibero-American …, 2012
162012
A symbolic representation method to preserve the characteristic slope of time series
W Zalewski, F Silva, FC Wu, HD Lee, AG Maletzke
Advances in Artificial Intelligence-SBIA 2012: 21th Brazilian Symposium on …, 2012
142012
Pitfalls in quantification assessment
W Hassan, AG Maletzke, GEAPA Batista
Proceedings, 2021
132021
Unsupervised context switch for classification tasks on data streams with recurrent concepts
DM dos Reis, AG Maletzke, GE Batista
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 518-524, 2018
132018
Uma metodologia para extração de conhecimento em séries temporais por meio da identificação de motifs e da extração de características
AG Maletzke
Universidade de São Paulo, 2009
112009
On the Need of Class Ratio Insensitive Drift Tests for Data Streams
A Maletzke, D dos Reis, E Cherman, G Batista
102018
Time series classification using motifs and characteristics extraction: a case study on ECG databases
AG Maletzke, HD Lee, GE Batista, SO Rezende, RB Machado, ...
Fourth International Workshop on Knowledge Discovery, Knowledge Management …, 2013
92013
The impact of body size on Aedes [Stegomyia] aegypti wingbeat frequency: implications for mosquito identification
BL De Nadai, AG Maletzke, JJ Corbi, G Batista, MH Reiskind
Medical and Veterinary Entomology 35 (4), 617-624, 2021
82021
The importance of the test set size in quantification assessment
A Maletzke, W Hassan, D d Reis, G Batista
International Joint Conference on Artificial Intelligence, 2640-2646, 2020
82020
Time series classification with motifs and characteristics
AG Maletzke, HD Lee, G Enrique, APA Batista, CSR Coy, JJ Fagundes, ...
Soft Computing for Business Intelligence, 125-138, 2014
82014
Uma avaliação sobre a identificação de motifs em séries temporais
AG Maletzke, GE Batista, HD Lee, PT Itaipu–PTI
Anais do Congresso da Academia Trinacional de Ciências 1, 1-10, 2008
72008
EnDia-Uma Ferramenta para Construção de Repositórios de Dados de Endoscopia Digestiva Alta
CA Ferrero, AG Maletzke, HD Lee, FC Wu, AP Neto, JJ Fagundes, ...
X Congresso Brasileiro de Informática em Saúde (CBIS 2006), 1-6, 2006
72006
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Artigos 1–20