Rebecca Salles

According to our database, Rebecca Salles authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara

Trans. Large Scale Data Knowl. Centered Syst., 2023

SoftED: Metrics for Soft Evaluation of Time Series Event Detection.

Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara

CoRR, 2023

Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System.

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

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results.

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

Supercomput. Front. Innov., 2022

TSPred: A framework for nonstationary time series prediction.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Neurocomputing, 2022

Towards Robust Cluster-Based Hyperparameter Optimization.

Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method.

Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.

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

New Gener. Comput., 2021

Evaluating Temporal Bias in Time Series Event Detection Methods.

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

J. Inf. Data Manag., 2021

Requirements for an Ontology of Digital Twins.

Claudio Daniel Tenorio de Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto

Proceedings of the Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, 2021

2020

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara

J. Biomed. Informatics, 2020

Estimation of COVID-19 under-reporting in Brazilian States through SARI.

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

CoRR, 2020

Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais.

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

Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019

Nonstationary time series transformation methods: An experimental review.

Rebecca Salles, Kele T. Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara

Knowl. Based Syst., 2019

Modelo Autorregressivo de Integração Adaptativa.

Arthur Ronald, Rebecca Salles, Kele T. Belloze, Dayse H. Pastore, Eduardo S. Ogasawara

Proceedings of the 34th Brazilian Symposium on Databases, 2019

A Conceptual Vision Toward the Management of Machine Learning Models.

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

Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), 2019

2017

A framework for benchmarking machine learning methods using linear models for univariate time series prediction.

Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean.

Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara

Ecol. Informatics, 2016

2015

Evaluating Linear Models as a Baseline for Time Series Imputation.

Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara

Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015