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André Gustavo Maletzke
André Gustavo Maletzke
Assistant Professor / UNIOESTE
Geverifieerd e-mailadres voor unioeste.br - Homepage
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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, 1805-1858, 2020
572020
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
192016
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
162019
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), 1-17, 2018
162018
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
152012
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
142018
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
122012
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
102009
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
92018
Accurately quantifying a billion instances per second
W Hassan, A Maletzke, G Batista
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
82020
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
82013
On the Need of Class Ratio Insensitive Drift Tests for Data Streams
A Maletzke, D dos Reis, E Cherman, G Batista
72018
One-class Quantification
D dos Reis, A Maletzke, E Cherman, G Batista
72018
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
72014
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
Quantification in data streams: Initial results
AG Maletzke, DM dos Reis, GE Batista
2017 Brazilian Conference on Intelligent Systems (BRACIS), 43-48, 2017
62017
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
62008
Uma metodologia para auxiliar no processo de mapeamento de formulários médicos para bases de dados estruturadas
AG Maletzke, HD Lee, FC Wu, ET Matsubara, CSR Coy, JS Fagundes, ...
X Congresso Brasileiro de Informática em Saúde, 1-10, 2006
62006
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
52020
Analysis of biomechanical parameters extracted from anorectal manometry of fecally-continent and incontinent patients
B Espindola, CMS Tibes, HD Lee, RB Machado, AG Maletzke, WF Chung
Revista Latino-Americana de Enfermagem 20, 1117-1124, 2012
52012
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Artikelen 1–20