Big Med +

This project studies the existing MnL algorithms and their natural adaptation to work with traffic and network activity data, as well as their scope to generate low-dimensional latent spaces (...)

The pandemic caused by the SARS-CoV-2 coronavirus has forced the scientific community to accelerate the lines of research on the key molecular mechanisms caused by diseases, as well as to prepare the necessary tools for future pandemics (...)

The objective of this project is to support the findings and hypotheses of the different arrhythmia mechanisms by applying new advanced techniques of spatio-temporal signal processing, visualization and machine learning technics over a wide set (...)

A principled statistical and algorithmic framework will be raised for large-scale datasets, by scrutinizing the theoretical implications of working with large-sized observations on a data-complexity basis, and progressively considering univariate (...)

The ultimate goal of the VirtuaLife project is the creation of an important evolution of the Cardiac Navigation Systems (CNS), consisting of a browser with a module for space-time processing of bioelectrical signals, naturally intertwined with a (...)