Yania Molina Souto

According to our database, Yania Molina Souto authored at least 7 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting.

Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra

Neurocomputing, 2021

DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models.

Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

2020

SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations.

Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez

IEEE Data Eng. Bull., 2020

DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models.

Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto

CoRR, 2020

2019

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, Yania Molina Souto, Luciana E. G. Vignoli, Rebecca Salles, Heleno de S. C. Jr, Artur Ziviani, Eduardo S. Ogasawara, Flávia Coimbra Delicato, Paulo de Figueiredo Pires, Hardy Leonardo da Cunha Pereira Pinto, Luciano Maia, Fábio Porto

Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), 2019

2018

Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark.

Vinicius M. Gottin, Edward Pacheco, Jonas Dias, Angelo E. M. Ciarlini, Bruno Costa, Wagner Vieira, Yania Molina Souto, Paulo F. Pires, Fábio Porto, João Guilherme Nobre Rittmeyer

Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2018

A Spatiotemporal Ensemble Approach to Rainfall Forecasting.

Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018