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ORCIDRafael S. Pereira 0001
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- affiliation: National Laboratory for Scientific Computing (LNCC), DEXL Lab, Petrópolis, RJ, Brazil
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Journal Articles
- 2022
[j2]Fábio Porto, 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, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra:
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9(1): 49-73 (2022)- 2020
- [j1]Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez:
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. 43(1): 47-59 (2020)
Conference and Workshop Papers
- 2021
- [c3]Henrique Matheus F. da Silva, Rafael S. Pereira, Fábio Porto:
SAGAD: Synthetic Data Generator for Tabular Datasets. SBBD 2021: 1-12 - [c2]Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. SSDBM 2021: 226-231 - 2019
- [c1]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:
A Conceptual Vision Toward the Management of Machine Learning Models. ER Forum/Posters/Demos 2019: 15-27
Informal and Other Publications
- 2021
- [i2]Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto:
Hyperspherical embedding for novel class classification. CoRR abs/2102.03243 (2021) - 2020
- [i1]Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. CoRR abs/2005.11093 (2020)
Coauthor Index
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