Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research. - Rocío Zorrilla; Maira Poltosi; Luiz M. R. Gadelha Jr.; Fábio Porto 001; Ana Maria de Carvalho Moura; A. Dalto; Helena P. Lavrado; Yocie Yoneshigue-Valentin; M. Tenório; E. Xavier (Data Sci. J., 2014)

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)

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)

Dual-Metric Clustering for Multivariate Time Series: KMeans with DTW and QuadTree with Entropy. - Samuel R. Torres; Raphael de Freitas Saldanha; Rocío Zorrilla; Vítor Ribeiro; Eduardo H. M. Pena; Fábio Porto 001 (SBBD, 2024)

A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. - Rocío Zorrilla; Eduardo S. Ogasawara; Patrick Valduriez; Fábio Porto 001 (Trans. Large Scale Data Knowl. Centered Syst., 2024)