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)

SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction. - Anderson Chaves da Silva; Hermano Lourenço Souza Lustosa; Daniel Nascimento Ramos da Silva; Fábio André Machado Porto; Patrick Valduriez (J. Inf. Data Manag., 2020)

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)

Towards an Integrated Solution for IoT Data Management. - Anderson Chaves da Silva (PhD@VLDB, 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)

StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data. - Anderson Chaves da Silva; Eduardo S. Ogasawara; Patrick Valduriez; Fábio Porto 001 (CoRR, 2024)