Anderson Chaves da Silva

According to our database, Anderson Chaves da Silva authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data.

Anderson Chaves da Silva, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto

CoRR, 2024

2022

Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results.

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

Supercomput. Front. Innov., 2022

2021

Towards an Integrated Solution for IoT Data Management.

Anderson Chaves da Silva

Proceedings of the VLDB 2021 PhD Workshop co-located with the 47th International Conference on Very Large Databases (VLDB 2021), 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

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: 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