Presentation

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, Cibersecurity, Laser milling, identification of the optimal conditions of a pneumatic drill and so on.

GICAP

Member of

IEEE_SMC-SC


MIRLABS

Forthcoming Events

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June 2018

SOCO 2018 13th International Conference on Soft Computing Models in Industrial and Environmental Applications
CISIS 2018 11th International Conference on Computational Intelligence in Security for Information Systems
ICEUTE 2018 9th International Conference on European Transnational Education
HAIS 2018 13rd International Conference on Hybrid Artificial Intelligence Systems

 

Recent Publications

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Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado, Michal Wozniak
Neural Models for imputation of missing Ozone data in Air Quality datasets
Complexity, 2018 ID 7238015, , Hindawi
ISI JCR Impact Factor 2016: 4.621 (2/100 - Interdisciplinary Applications)
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Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado
Analysis of Meteorological Conditions in Spain by means of Clustering Techniques
Journal of Applied Logic. 24 (B), p. 76-89, Elsevier
ISI JCR Impact Factor 2016: 0.838 (5/21 - Logic)
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Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado
A Hybrid Intelligent System for the Analysis of Atmospheric Pollution: a Case Study in two European Regions
Logic Journal of the IGPL. Vol. 25(6), p. 915–937, Oxford Journals
ISI JCR Impact Factor 2016: 0.575 (12/21 - Logic)
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Raúl Sánchez, Emilio Corchado, Álvaro Herrero
Clustering extension of MOVICAB-IDS to distinguish intrusions in flow-based data
Logic Journal of the IGPL. Vol. 25(1), p. 83-102. Oxford Journals
ISI JCR Impact Factor 2016: 0.575 (12/21 - Logic)
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