Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
Article

Best Paper Award in Deep Learning goes to INESC TEC

The work entitled “Uso de técnicas de Saliency para Selección de Características” (in English: “Use of Saliency techniques for Features Selection”), written by Brais Cancela and João Gama, collaborators of INESC TEC’s Laboratory of Artificial Intelligence and Decision Support (LIAAD), alongside Verónica Bolón-Canedo and Amparo Alonso-Betanzos, was awarded the best paper award at the I Workshop in Deep Learning (DeepL 2018).

19th December 2018

Presented under the XVIII Conference of the Spanish Association for Artificial Intelligence (CAEPIA), which took place in Granada between 23 and 26 October, this work proposes a method for features selection. The most innovative character of the method is that it selects different features for different observations.

CAEPIA is a biennial forum aiming at giving researchers from all over the world the opportunity to present and discuss the latest scientific and technological advances in the Artificial Intelligence area. This way, it is intended to facilitate the dissemination of new ideas and experiences, to strengthen connections between different research groups, to promote the knowledge transfer and to help disseminate new developments to the society.

 

The researchers mentioned in this news piece are associated with INESC TEC and UP-FEP.