23 citations · 37 across the 4 of their papers we have counts for
4 papers
An Open Source Python Library for Anonymizing Sensitive Data
Judith Sáinz-Pardo Díaz, Álvaro López García
Open science is a fundamental pillar to promote scientific progress and collaboration, based on the principles of open data, open source and open access. However, the requirements…
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…