201 citations · 751 across the 31 of their papers we have counts for
4 papers · 1 filter
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines
David A. Monge, Elina Pacini, Cristian Mateos +2
Cloud Computing is becoming the leading paradigm for executing scientific and engineering workflows. The large-scale nature of the experiments they model and their variable workloa…
DLOPT: Deep Learning Optimization Library
Andrés Camero, Jamal Toutouh, Enrique Alba
Deep learning hyper-parameter optimization is a tough task. Finding an appropriate network configuration is a key to success, however most of the times this labor is roughly done.…
BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level
Javier Ferrer, Enrique Alba
The fast demographic growth, together with the concentration of the population in cities and the increasing amount of daily waste, are factors that push to the limit the ability of…
Low-Cost Recurrent Neural Network Expected Performance Evaluation
Andrés Camero, Jamal Toutouh, Enrique Alba
Recurrent neural networks are a powerful tool, but they are very sensitive to their hyper-parameter configuration. Moreover, training properly a recurrent neural network is a tough…