| Fast unsupervised online drift detection using incremental kolmogorov-smirnov test DM Dos Reis, P Flach, S Matwin, G Batista Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 178 | 2016 |
| 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 | 113 | 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 | 36 | 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 | 32 | 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 | 31 | 2018 |
| Quantification in data streams: Initial results AG Maletzke, DM dos Reis, GE Batista 2017 Brazilian Conference on Intelligent Systems (BRACIS), 43-48, 2017 | 18 | 2017 |
| One-class quantification D dos Reis, A Maletzke, E Cherman, G Batista Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 17 | 2019 |
| 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 | 13 | 2018 |
| On the need of class ratio insensitive drift tests for data streams A Maletzke, D Reis, E Cherman, G Batista Second international workshop on learning with imbalanced domains: theory …, 2018 | 10 | 2018 |
| The Importance of the Test Set Size in Quantification Assessment. AG Maletzke, W Hassan, DM dos Reis, GE Batista IJCAI, 2640-2646, 2020 | 8 | 2020 |
| Extensoes do algoritmo de aprendizado de maquina multirrótulo BRkNN DM dos Reis, EA Cherman, N Spolaôr, MC Monard Encontro Nacional de Inteligência Artificial, 1-12, 2012 | 3 | 2012 |
| One-class quantification D Reis, AG Maletzke, EA Cherman, GEAPA Batista Lecture Notes in Artificial Intelligence 11051, 273-289, 2019 | 2 | 2019 |
| Accurately quantifying under score variability A Maletzke, D Dos Reis, W Hassan, G Batista 2021 IEEE International Conference on Data Mining (ICDM), 1228-1233, 2021 | 1 | 2021 |
| Quantifying with only positive training data D Reis, M de Souto, E de Sousa, G Batista arXiv preprint arXiv:2004.10356, 2020 | 1 | 2020 |
| Fast Unsupervised Online Drift Detection DM dos Reis, G Batista, P Flach, S Matwin | | |
| Selecting Training Data By Evaluating Existing Models DM dos Reis | | |
