| Nonstationary time series transformation methods: An experimental review R Salles, K Belloze, F Porto, PH Gonzalez, E Ogasawara Knowledge-Based Systems 164, 274-291, 2019 | 71 | 2019 |
| Estimation of COVID-19 under-reporting in the Brazilian states through SARI B Paixão, L Baroni, M Pedroso, R Salles, L Escobar, C de Sousa, ... New Generation Computing 39, 623-645, 2021 | 28 | 2021 |
| Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean R Salles, P Mattos, AMD Iorgulescu, E Bezerra, L Lima, E Ogasawara Ecological Informatics 36, 94-105, 2016 | 23 | 2016 |
| A framework for benchmarking machine learning methods using linear models for univariate time series prediction R Salles, L Assis, G Guedes, E Bezerra, F Porto, E Ogasawara 2017 International Joint Conference on Neural Networks (IJCNN), 2338-2345, 2017 | 13 | 2017 |
| Database on the coverage of the “Bolsa-Família” conditioning cash-transfer program: Brazil, 2005 to 2021 L Baroni, RFS Alves, CS Boccolini, R Salles, R Gritz, B Paixão, ... BMC Research Notes 14 (1), 1-3, 2021 | 10 | 2021 |
| An integrated dataset of malaria notifications in the Legal Amazon L Baroni, M Pedroso, C Barcellos, R Salles, S Salles, B Paixão, ... BMC Research Notes 13 (1), 1-3, 2020 | 7 | 2020 |
| An analysis of malaria in the Brazilian Legal Amazon using divergent association rules L Baroni, R Salles, S Salles, G Guedes, F Porto, E Bezerra, C Barcellos, ... Journal of Biomedical Informatics 108, 103512, 2020 | 7 | 2020 |
| Evaluating Linear Models as a Baseline for Time Series Imputation. R Salles, E Bezerra, J de Abreu Soares, ES Ogasawara SBBD (Short Papers), 63-68, 2015 | 7 | 2015 |
| Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais R Salles, L Escobar, L Baroni, R Zorrilla, A Ziviani, V Kreischer, F Delicato, ... Anais do XXXV Simpósio Brasileiro de Bancos de Dados, 73-84, 2020 | 6 | 2020 |
| TSPred: functions for baseline-based time series prediction RP Salles, E Ogasawara R package version 4, 2015 | 5 | 2015 |
| TSPred: A framework for nonstationary time series prediction R Salles, E Pacitti, E Bezerra, F Porto, E Ogasawara Neurocomputing 467, 197-202, 2022 | 3 | 2022 |
| Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method J Lima, R Salles, F Porto, R Coutinho, P Alpis, L Escobar, E Pacitti, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
| Machine learning approaches to extreme weather events forecast in urban areas: Challenges and initial results F Porto, M Ferro, E Ogasawara, T Moeda, CDT de Barros, AC Silva, ... Supercomputing Frontiers and Innovations 9 (1), 49-73, 2022 | 2 | 2022 |
| Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 L Baroni, R Salles, S Salles, M Pedroso, J Lima, I Morais, L Carraro, ... BMC Research Notes 14 (1), 1-3, 2021 | 2 | 2021 |
| Evaluating temporal bias in time series event detection methods L Escobar, R Salles, J Lima, C Gea, L Baroni, A Ziviani, P Pires, ... Journal of Information and Data Management 12 (3), 2021 | 2 | 2021 |
| Online event detection for sensor data E Ogasawara, R Salles, L Escobar, L Baroni, J Lima, F Porto Ibero-Latin American Congress on Computational Methods in Engineering, Rio …, 2021 | 2 | 2021 |
| Requirements for an Ontology of Digital Twins. C Barros, R Salles, ES Ogasawara, G Guizzardi, F Porto SEMANTiCS Posters&Demos, 2021 | 2 | 2021 |
| Towards Robust Cluster-Based Hyperparameter Optimization L Izaú, M Fortes, V Ribeiro, C Marques, C Oliveira, E Bezerra, F Porto, ... Anais do XXXVII Simpósio Brasileiro de Bancos de Dados, 439-444, 2022 | 1 | 2022 |
| Uso de ciência de dados para predição do consumo de fertilizantes no Brasil A Andrade, R Salles, F Carvalho, EB da Silva, J Soares, C Souza, ... Anais do XIV Brazilian e-Science Workshop, 9-16, 2020 | 1 | 2020 |
| Modelo autorregressivo de integração adaptativa A Ronald, R Salles, K Belloze, D Pastore, E Ogasawara Anais do XXXIV Simpósio Brasileiro de Banco de Dados, 175-180, 2019 | 1 | 2019 |
Eduardo OgasawaraCEFET/RJVerified email at ieee.org
