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 001; Yania Molina Souto; Luciana E. G. Vignoli; Rebecca Salles; Heleno de S. C. Jr; et al. (ER Forum/Posters/Demos, 2019)

DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. - Yania Molina Souto; Rafael S. Pereira 001; Rocío Zorrilla; Anderson Chaves da Silva; Brian Tsan; Florin Rusu; Eduardo S. Ogasawara; Artur Ziviani; Fábio Porto 001 (CoRR, 2020)

SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. - Noel Moreno Lemus; Fábio Porto 001; Yania Molina Souto; Rafael S. Pereira 001; Ji Liu 003; Esther Pacciti; Patrick Valduriez (IEEE Data Eng. Bull., 2020)

SAGAD: Synthetic Data Generator for Tabular Datasets. - Henrique Matheus F. da Silva; Rafael S. Pereira 001; Fábio Porto 001 (SBBD, 2021)

DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. - Rafael S. Pereira 001; Yania Molina Souto; Anderson Chaves da Silva; Rocío Zorilla; Brian Tsan; Florin Rusu; Eduardo S. Ogasawara; Artur Ziviani; Fábio Porto 001 (SSDBM, 2021)

Hyperspherical embedding for novel class classification. - Rafael S. Pereira 001; Alexis Joly; Patrick Valduriez; Fábio Porto 001 (CoRR, 2021)

Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. - Fábio Porto 001; 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; et al. (Supercomput. Front. Innov., 2022)