Noticias

El artículo del Grupo de Sistemas Inteligentes "Enhancing deep learning sentiment analysis with ensemble techniques in social applications" ha sido premiado bajo la categoría Artículo Científico más citado en su campo, bajo la resolución del día 15 de Diciembre el Rector de la Universidad Politécnica de Madrid, en los premios dentro de la Convocatoria Anual de Premios de Investigación e Innovación en el marco del Programa Propio de I+D+i 2020. Este artículo fue publicado en el año 2017 en la revista Expert Systems with Applications (JCR Q1 2017, 3.768), y forma parte de la tesis de Óscar Araque.

A día de hoy, esta publicación tiene:

  • 259 citas indexadas en Google Scholar
  • 178 citas indexadas en Scopus
  • 125 citas indexadas en Web of Science

 

The virtual kick-off of the H2020 project PARTICIPATION (Analyzing and Preventing Extremism Via Participation, SEP-210655026) has been held on 18th December 2021. 

The project PARTICIPATION aims at preventing extremism, radicalization, and polarisation that can lead to violence through more effective social and education policies and interventions that target at-risk groups to be performed through the establishment

of a holistic framework and the engagement\involvment of social actors, local communities, civil society, and policymakers.

 

UPM-GSI leads WP4, "Contrasting Radicalization, and Extremism via Communication", and its main role in the project is the development of an intelligent NLP engine for detecting the different stages of radicalization in youth. UPM also lead the development of open source methodological tools for evaluating counter and alternative narratives campaigns, so-called PTD (Prevention Tools Database). PTD will be integrated in the open information hub www.firstlinepractitioners.com, a platform developed as part of the H2020 project TAKEDOWN, and currently being expanded in 2 ISFP projects (CHAMPIONs and ARMOUR).

 

 

El pasado 23 de Octubre se ha defendido en la ETSI de Telecomunicación la tesis doctoral de Óscar Araque, titulada "A Distributional Semantics Perspective of Lexical Resources for Affect Analysis: An application to Extremist Narratives". El acto ha transcurrido con normalidad, y la tesis ha recibido la máxima calificación, con la mención de Cum Laude.

El documento de la tesis se puede encontrar en este enlace.

The virtual kick-off of the TETRAMAX project VLP-Automation (Task Automation based on Visible Light Positioning and Blockchain) has been held on 3rd September 2020. 

The project VLP-Automation aims at designing and implementing a task automation and access management system that uses blockchain and Visible Light Positioning system based on Li-Fi indoor technology.

This system will have the ability to detect the approximate positioning of different objects/people using the LED lighting infrastructure already available and automate tasks based on this input .

The development will be based on an already existing hybrid VLC communication system (BEIA) integrated with the task automation platform (UPM)