Research lines

  • - Adaptation and continuous learning techniques
  • - Advanced interfaces
  • - Approximate Knowledge representation and reasoning
  • - Automatic generation of explanations in natural language for AI models
  • - Data-To-Text Sytems
  • - Explainable Machine Learning
  • - Map building and indoor location from multisensory data
  • - Natural language processing
  • - Natural language technologies applied to Big Data
  • Computational Intelligence: models and softwre for approximate knowledge representation and reasoning, neural computation, evolutionary computation, hybrid models
  • Computer Vision: detection and tracking using Deep Learning
  • Descriptive and predictive interpretable models.
  • E-Health: Intelligent signal monitoring, temporal mining and abstraction of physiological data, improvement of therapeutic adherence
  • Explainable Artificial Intelligence
  • Information Retrieval: Web mining, early risks prediction in the Internet
  • Intelligent and natural human-machine interaction
  • Machine Learning: classification, regression, ranking and optimization models
  • Natural language technologies
  • Personal robotics
  • Process mining, data mining and text mining.