This multidisciplinary research group (GICAP) at the University of Burgos is interested on research related to the field of Artificial Intelligence, and mainly in the fields of connectionist models, data mining and knowledge extraction, projection methods and dimension reduction and visualization techniques. Also, we are researching in the field of identification systems (modelling of any kind of process).

These techniques have been applied to different and interesting areas as Knowledge Management, Chemistry, Physics, and Civil Engineering, Food Industry, Computer Network Security, Laser milling, identification of the optimal conditions of a pneumatic drill and so on.

Member of



Forthcoming Events


June 2017

HAIS 2017 12th International Conference on Hybrid Artificial Intelligence Systems


September 2017

SOCO 2017 12th International Conference on Soft Computing Models in Industrial and Environmental Applications
CISIS 2017 10th International Conference on Computational Intelligence in Security for Information Systems
ICEUTE 2017 8th International Conference on European Transnational Education


Recent Publications


Lourdes Sáiz-Bárcena, Álvaro Herrero, Miguel Ángel Manzanedo del Campo, Ricardo Del Olmo
Easing Knowledge Management in the Power Sector by means of a Neuro-Genetic System
International Journal of Bio-Inspired Computation. Vol. 7 (3), p. 170-175, InderScience Enterprises
ISI JCR Impact Factor 2014: 3.969 (2/102 - Theory & Methods, 7/123 - Artificial Intelligence)
Javier Sedano, Silvia González, Camelia Chira, Álvaro Herrero, Emilio Corchado, José Ramón Villar
Key Features for the Characterization of Android Malware Families
Logic Journal of the IGPL. ("Online"), Oxford Journals
ISI JCR Impact Factor 2014: 0.461 (12/21 - Logic)
Raúl Sánchez, Emilio Corchado, Álvaro Herrero
Clustering extension of MOVICAB-IDS to distinguish intrusions in flow-based data
Logic Journal of the IGPL. ("Online"), Oxford Journals
ISI JCR Impact Factor 2014: 0.461 (12/21 - Logic)