| 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 | 159 | 2020 |
| 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 | 44 | 2019 |
| 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 | 37 | 2018 |
| 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 | 34 | 2018 |
| Accurately quantifying a billion instances per second W Hassan, A Maletzke, G Batista 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 26 | 2020 |
| Quantification in data streams: Initial results AG Maletzke, DM dos Reis, GE Batista 2017 Brazilian conference on intelligent systems (BRACIS), 43-48, 2017 | 20 | 2017 |
| 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 | 20 | 2016 |
| One-class Quantification D dos Reis, A Maletzke, E Cherman, G Batista | 18 | 2018 |
| 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 | 18 | 2012 |
| 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 | 16 | 2012 |
| 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 | 14 | 2018 |
| Pitfalls in quantification assessment W Hassan, AG Maletzke, GEAPA Batista Proceedings, 2021 | 13 | 2021 |
| 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 | 13 | 2009 |
| 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 | 12 | 2021 |
| 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 | 12 | 2020 |
| On the Need of Class Ratio Insensitive Drift Tests for Data Streams A Maletzke, D dos Reis, E Cherman, G Batista | 12 | 2018 |
| 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 | 9 | 2014 |
| 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 | 9 | 2013 |
| Uma avaliação sobre a identificação de motifs em séries temporais AG Maletzke, GEAPA Batista, HD Lee Anais, 2008 | 7 | 2008 |
| 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 | 7 | 2006 |
Gustavo Enrique BatistaAssociate Professor, School of Computer Science and Engineering, University of New South WalesZweryfikowany adres z cse.unsw.edu.au
