IWINAC2017: Sessions

Chairperson: Alfredo Cuesta Infante
Co-chairperson: Juan Jose Pantrigo

Deep learning has meant a breakthrough in the artificial intelligence community. The best performances attained so far in many fields, such as Computer Vision or Natural Language Processing, have been overtaken by these novel paradigm up to a point that only ten years ago was just science fiction. In addition, this technology has been open sourced by the main IA companies; and hence making quite straightforward to design, train and integrate deep-learning based systems. We open this session to both theoretical and practical works on deep learning.

Main topics include (but not restricted to):

Deep architechtures
Bayesian approaches to Deep Learning
Generative models in Deep Learning
Restricted Boltzman Machines
Recurrent Neural Networks and Long-Short term memories
Feature representation
Spatial and Spatiotemporal clustering and classification
Human activity analysis
Biomedical data analysis
Signal processing
Natural language processing
Computer vision
Smart cities
...

IWINAC2017: Pre-Organized Session:

S08. Deep learning