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Rebecca Salles
Rebecca Salles
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEFET/RJ
Verified email at acm.org - Homepage
Title
Cited by
Cited by
Year
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
472019
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 (3), 623-645, 2021
202021
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
172016
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
122017
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
62021
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
62015
TSPred: functions for baseline-based time series prediction
RP Salles, E Ogasawara
R package version 4, 2015
52015
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
42020
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
42020
Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais.
R Salles, LEG Escobar, L Baroni, R Zorrilla, A Ziviani, V Kreischer, ...
SBBD, 73-84, 2020
32020
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
22021
TSPred: A framework for nonstationary time series prediction
R Salles, E Pacitti, E Bezerra, F Porto, E Ogasawara
Neurocomputing 467, 197-202, 2022
12022
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
12020
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
12019
A Conceptual Vision Toward the Management of Machine Learning Models.
DNR da Silva, A Simões, C Cardoso, DEM de Oliveira, JN Rittmeyer, ...
ER Forum/Posters/Demos, 15-27, 2019
12019
Evaluation of elemental profile in distant tissues during tumor progression
S Salles, R Salles, MSG Pavão, SC Cardoso, MP Stelling
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
2022
Benchmarking Nonstationary Time Series Prediction
RP Salles, E Ogasawara, P González
Anais Estendidos do XXXVI Simpósio Brasileiro de Bancos de Dados, 177-182, 2021
2021
Neonatal Mortality Rates in Brazilian Health Facilities: from 2005 to 2017
L Baroni, R Salles, E Ogasawara, PMM Boccolini, JC Lima, CS Boccolini
2021
Evaluating Temporal Bias in Time Series Event Detection Methods
L Escobar, R Salles, J Lima, C Gea, L Baroni, A Ziviani, P Pires, ...
J. Inf. Data Manag. 12 (3), 2021
2021
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