23 citations · 55 across the 4 of their papers we have counts for
5 papers
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas
Judith Sáinz-Pardo Díaz, María Castrillo, Juraj Bartok +7
The increasing generation of data in different areas of life, such as the environment, highlights the need to explore new techniques for processing and exploiting data for useful p…
pyCANON: A Python library to check the level of anonymity of a dataset
Judith Sáinz-Pardo Díaz, Álvaro López García
Openly sharing data with sensitive attributes and privacy restrictions is a challenging task. In this document we present the implementation of pyCANON, a Python library and comman…
Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study
Ignacio Heredia Cacha, Judith Sainz-Pardo Díaz, María Castrillo Melguizo +1
In this work we evaluate the applicability of an ensemble of population models and machine learning models to predict the near future evolution of the COVID-19 pandemic, with a par…
A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters
Jose González-Abad, Álvaro López García, Valentin Y. Kozlov
Deep learning has been postulated as a solution for numerous problems in different branches of science. Given the resource-intensive nature of these models, they often need to be e…
umd-verification: Automation of Software Validation for the EGI federated e-Infrastructure
Pablo Orviz Fernandez, Joao Pina, Alvaro Lopez Garcia +3
Supporting e-Science in the EGI e-Infrastructure requires extensive and reliable software, for advanced computing use, deployed across over approximately 300 European and worldwide…