Current Projects

Although social media are the default channel used by people to share information, ideas and opinions, they may contribute paradoxically to the polarization of society as we have recently witnessed in the last presidential elections in the USA and in the Brexit referendum. Every user ends up receiving only the information that matches her personal beliefs and viewpoints, with the [...]

Health scientific discovery and innovation are expected to quickly move forward under the so-called “fourth paradigm of science”, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex [...]

Nowadays there exist large databases of digitized printed scientific documents, and many of them include mathematical expressions. The searching of textual information in these documents is currently a possibility widely exploited by the search engines of the most used web browsers. However, the searching in massive collections of digitized printed scientific documents with queries that are mathematical expressions [...]

La proliferación de las redes sociales y la ingente cantidad de información generada por las mismas (big data) proporcionan una gran oportunidad a las empresas para conocer mejor a sus clientes. Sin embargo, la cantidad de datos es habitualmente tan inabarcable que el reto principal de las compañías radica en seleccionar de todo ese corpus la información útil, aquella que [...]

Manuscripts are among the most important witnesses to our European shared cultural heritage and, while being increasingly digitized and published in large digital archives and libraries, they represent a valuable part of the European Digital Heritage. Its exploration, understanding, and dissemination of need new tools for promoting the community engagement with, and use of, heritage. Indeed, the wealth of information conveyed [...]

El objetivo del proyecto es crear una plataforma inteligente que permita extraer información de miles de entradas de cuadernos de bitácora manuscritos que contienen (en un periodo de doscientos años y un amplio rango geográfico), datos sobre condiciones climatológicas diarias que pueden ser de gran utilidad a investigadores del cambio climático.

Los sistemas de reconocimiento de formas (pattern recognition) y aprendizaje automático (machine learning) no están libres de errores en sus predicciones por lo que en muchos casos es necesario la interacción con el usuario. En el paradigma del reconocimiento de formas interactivo se aprovecha la realimentación multimodal proporcionada por el usuario en cada interacción con el sistema, tanto para mejorar [...]

This project aims to make a step forward in the development of user centric intelligent tools for extracting knowledge from historical data. Starting from the recognition of historical document images and including the user in the loop through engaging experiences, we will develop the concept of the big data of the past. As use case driving the research, we will construct [...]