A Spatiotemporal Ensemble Approach to Rainfall Forecasting. - Yania Molina Souto; Fábio Porto 001; Ana Maria de Carvalho Moura; Eduardo Bezerra 002 (IJCNN, 2018)

Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark. - Vinicius M. Gottin; Edward Pacheco; Jonas Dias; Angelo E. M. Ciarlini; Bruno Costa 003; Wagner Vieira; Yania Molina Souto; Paulo F. Pires; Fábio Porto 001; João Guilherme Nobre Rittmeyer (BeyondMR@SIGMOD, 2018)

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)

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)

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. - Rafaela Castro; Yania Molina Souto; Eduardo S. Ogasawara; Fábio Porto 001; Eduardo Bezerra 002 (Neurocomputing, 2021)