23 citations · 75 across the 6 of their papers we have counts for
6 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…
Phenomenology Tools on Cloud Infrastructures using OpenStack
I. Campos, E. Fernandez del Castillo, S. Heinemeyer +2
We present a new environment for computations in particle physics phenomenology employing recent developments in cloud computing. On this environment users can create and manage "v…