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2020 – today
- 2023
[j8]Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara:
TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Trans. Large Scale Data Knowl. Centered Syst. 54: 41-55 (2023)- [c9]Marcel Pedroso, Rebecca Salles, Raphael de Freitas Saldanha, Vinicius Kreischer de Almeida, Gabriel Souto, Balthazar Paixão, Sérgio Ricardo de Borba Cruz, Carlos Cardoso, Víctor Ribeiro, Raquel Gritz, Carmen Bonifácio, Matheus Miloski, Carlos Augusto de Sousa, Gizelton Pereira Alencar, Ariane Alves, Nelson Niero Neto, Letícia Sabbadini, Eduardo S. Ogasawara, Christovam Barcellos, Fábio Porto, Lucas Zinato Carraro, Jefferson Lima:
Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System. VLDB Workshops 2023 - [i2]Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara:
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR abs/2304.00439 (2023) - 2022
- [j7]Rebecca Salles
, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467: 197-202 (2022) - [j6]Fábio Porto, Mariza Ferro, Eduardo S. Ogasawara, Thiago Moeda, Claudio Daniel Tenorio de Barros, Anderson Chaves da Silva, Rocío Zorrilla, Rafael Silva Pereira, Rafaela Nascimento Castro, João Victor Silva, Rebecca Salles, Augusto José Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra:
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9(1): 49-73 (2022) - [c8]Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara:
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. IJCNN 2022: 1-8 - [c7]Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara:
Towards Robust Cluster-Based Hyperparameter Optimization. SBBD 2022: 439-444 - 2021
- [j5]Luciana E. G. Escobar, Rebecca Salles, Janio Lima, Cristiane Gea, Lais Baroni, Artur Ziviani, Paulo F. Pires, Flávia Coimbra Delicato, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara:
Evaluating Temporal Bias in Time Series Event Detection Methods. J. Inf. Data Manag. 12(3) (2021) - [j4]Balthazar Paixão, Lais Baroni, Marcel Pedroso, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Raphael de Freitas Saldanha, Jorge de Abreu Soares, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI. New Gener. Comput. 39(3): 623-645 (2021) - [c6]Claudio Daniel Tenorio de Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto:
Requirements for an Ontology of Digital Twins. SEMANTiCS (Posters & Demos) 2021 - 2020
- [j3]Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara:
An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. J. Biomed. Informatics 108: 103512 (2020) - [c5]Rebecca Salles, Luciana E. G. Escobar, Lais Baroni, Roccio Zorrilla, Artur Ziviani, Vincius Kreischer, Flávia Coimbra Delicato, Paulo F. Pires, Luciano Maia, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara:
Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais. SBBD 2020: 73-84 - [i1]Balthazar Paixão, Lais Baroni, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Marcel Pedroso, Raphael de Freitas Saldanha, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Estimation of COVID-19 under-reporting in Brazilian States through SARI. CoRR abs/2006.12759 (2020)
2010 – 2019
- 2019
- [j2]Rebecca Salles, Kele T. Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara:
Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. 164: 274-291 (2019) - [c4]Daniel Nascimento Ramos da Silva, Adolfo Simões, Carlos Cardoso, Douglas E. M. de Oliveira, João N. Rittmeyer, Klaus Wehmuth, Hermano Lustosa, Rafael S. Pereira, Yania Molina Souto, Luciana E. G. Vignoli, Rebecca Salles, Heleno de S. C. Jr, Artur Ziviani, Eduardo S. Ogasawara, Flávia Coimbra Delicato, Paulo de Figueiredo Pires, Hardy Leonardo da Cunha Pereira Pinto, Luciano Maia, Fábio Porto:
A Conceptual Vision Toward the Management of Machine Learning Models. ER Forum/Posters/Demos 2019: 15-27 - [c3]Arthur Ronald, Rebecca Salles, Kele T. Belloze, Dayse H. Pastore, Eduardo S. Ogasawara:
Modelo Autorregressivo de Integração Adaptativa. SBBD 2019: 175-180 - 2017
- [c2]Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN 2017: 2338-2345 - 2016
- [j1]Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara:
Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean. Ecol. Informatics 36: 94-105 (2016) - 2015
- [c1]Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara:
Evaluating Linear Models as a Baseline for Time Series Imputation. SBBD (Short Papers) 2015: 63-68
Coauthor Index
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