A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast

DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast

An argument in favor of strong scaling for deep neural networks with small datasets

Temporally Evolving Community Detection and Prediction in COntent-Centric Networks

A Search Space Exploration Framework for e-Science Applications

Helping HPC Users Specify Job Memory Requirements via Machine Learning

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments

Evaluating Auto-scaling Strategies for Cloud Computing Environments

Exploiting User Patience for Scaling Resource Capacity in Cloud Services

An Artificial Intelligence system to help the player of Real-Time Strategy games