| A comparative evaluation of aggregation methods for machine learning over vertically partitioned data B Trevizan, J Chamby-Diaz, ALC Bazzan, M Recamonde-Mendoza Expert systems with applications 152, 113406, 2020 | 22 | 2020 |
| Dynamic correlation-based feature selection for feature drifts in data streams JC Chamby-Diaz, M Recamonde-Mendoza, ALC Bazzan 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 198-203, 2019 | 12 | 2019 |
| Identifying traffic event types from twitter by multi-label classification JC Chamby-Diaz, A Bazzan 2019 8th Brazilian conference on intelligent systems (bracis), 806-811, 2019 | 11 | 2019 |
| Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification JC Chamby-Diaz, M Recamonde-Mendoza, ALC Bazzan, R Grunitzki 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 4 | 2018 |
| An incremental gaussian mixture network for data stream classification in non-stationary environments JCC Diaz | 2 | 2018 |
| Identifying traffic conditions from non-traffic related sources JC Chamby-Diaz, RS Estevam, ALC Bazzan Journal of Intelligent Transportation Systems 26 (1), 116-127, 2020 | 1 | 2020 |
| Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems ALC Bazzan, JC Chamby-Diaz, RS Estevam, LA Schmidt, M Pasin, ... 2019 IEEE 15th International Conference on Intelligent Computer …, 2019 | 1 | 2019 |
| O QUE É RELEVANTE NA PREDIÇÃO DAS CONDIÇÕES DO TRÁFEGO A PARTIR DE DADOS DE TWITTER E OUTRAS FONTES HETEROGÊNEAS? UM ESTUDO PRELIMINAR SOBRE A CIDADE DE PORTO ALEGRE RS Estevam, JC Chamby-Diaz, ALC Bazzan | | |
Ana BazzanUFRGS在 inf.ufrgs.br 的电子邮件经过验证
