Everton Jose Santana

According to our database, Everton Jose Santana authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

2023

Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners.

Sylvio Barbon, Rodrigo Capobianco Guido, Gabriel Jonas Aguiar, Everton José Santana, Mario Lemes Proença Jr., Hemant A. Patil

Speech Commun., July, 2023

2022

Using meta-learning for multi-target regression.

Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior

Inf. Sci., 2022

2021

Detecting and Mitigating Adversarial Examples in Regression Tasks: A Photovoltaic Power Generation Forecasting Case Study.

Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

Inf., 2021

2020

Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing.

Jessica Fernandes Lopes, Everton Jose Santana, Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

IEEE Trans. Netw. Serv. Manag., 2020

Improved prediction of soil properties with Multi-target Stacked Generalisation on EDXRF spectra.

Everton Jose Santana, Felipe Rodrigues dos Santos, Saulo Martiello Mastelini, Fabio Luiz Melquiades, Sylvio Barbon Junior

CoRR, 2020

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon Jr.

Appl. Soft Comput., 2020

Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects.

Everton Jose Santana, Ricardo Petri Silva, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.

Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior

J. Signal Process. Syst., 2019

Stock Portfolio Prediction by Multi-Target Decision Support.

Everton Jose Santana, João Augusto Provin Ribeiro da Silva, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Evaluating the Four-Way Performance Trade-Off for Stream Classification.

Victor G. Turrisi da Costa, Everton Jose Santana, Jessica Fernandes Lopes, Sylvio Barbon Jr.

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Towards Meta-Learning for Multi-Target Regression Problems.

Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Benchmarking Multi-target Regression Methods.

Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Deep Regressor Stacking for Air Ticket Prices Prediction.

Everton Jose Santana, Saulo Martiello Mastelini, Sylvio Barbon Jr.

Proceedings of the 13th Brazilian Symposium on Information Systems, 2017

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack.

Saulo Martiello Mastelini, Everton Jose Santana, Ricardo Cerri, Sylvio Barbon

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017