DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. - Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon (BRACIS, 2017)

Deep Regressor Stacking for Air Ticket Prices Prediction. - Everton Jose Santana; Saulo Martiello Mastelini; Sylvio Barbon Jr. (SBSI, 2017)

Benchmarking Multi-target Regression Methods. - Saulo Martiello Mastelini; Everton Jose Santana; Victor Guilherme Turrisi da Costa; Sylvio Barbon (BRACIS, 2018)

Towards Meta-Learning for Multi-Target Regression Problems. - Gabriel Jonas Aguiar; Everton José Santana; Saulo Martiello Mastelini; Rafael Gomes Mantovani; Sylvio Barbon Jr. (BRACIS, 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. (GPC, 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)

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)

Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects. - Everton Jose Santana; Ricardo Petri Silva; Bruno Bogaz Zarpelão; Sylvio Barbon Junior (BRACIS (2), 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)

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)

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)

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)

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)

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., 2023)