2 citations · 2 across the 2 of their papers we have counts for
5 papers
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza, Leonardo Azevedo, Vítor Lourenço +10
Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of…
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha +1
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-res…
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira, Renato L. F. Cunha, Bruno Silva +1
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources. Most solutions for yield…
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…
Using Application Data for SLA-aware Auto-scaling in Cloud Environments
Andre Abrantes D. P. Souza, Marco A. S. Netto
With the establishment of cloud computing as the environment of choice for most modern applications, auto-scaling is an economic matter of great importance. For applications like s…