Presentation

This multidisciplinary research group (GICAP) at the University of Burgos is interested on research related to the field of Artificial Intelligence to solve real-life problems. More specifically we are working on connectionist (neural) models, data mining and knowledge extraction, projection methods and dimension reduction and visualization techniques.

These techniques have been applied to different and interesting areas such as Knowledge Management, Chemistry, Physics, and Civil Engineering, Industrial Problems and so on.

GICAP

Member of

IEEE_SMC-SC


MIRLABS

Forthcoming Events

[up] 

 

June 2020

SOCO 2020 15th International Conference on Soft Computing Models in Industrial and Environmental Applications
CISIS 2020 13th International Conference on Computational Intelligence in Security for Information Systems
ICEUTE 2020 11th International Conference on European Transnational Education

 

September 2020

Call for Papers Secial Issue: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. Journal: Applied Soft Computing

Recent Publications

[up] 

Nuño Basurto, Ángel Arroyo, Rafael Vega Vega, Héctor Quintián, Jose Luís Calvo-Rolle, Álvaro Herrero
A Hybrid Intelligent System to Forecast Solar Energy Production
Computers & Electrical Engineering, Vol. 78, p. 373-387, Elsevier
ISI JCR Impact Factor 2018: 2.189 (20/52 - Hardware & Arquitecture)
URL
 
Alfredo Jiménez, Álvaro Herrero
Selecting Features that Drive Internationalization of Spanish Firms
Cybernetics and Systems: An International Journal. Vol. 50, p. 25-39. Taylor & Francis
ISI JCR Impact Factor 2018: 1.681 (12/23 - Computer Science, Cybernetics)
URL
Enrique de la Cal, José R. Villar, Paula M. Vergara, Álvaro Herrero, Javier Sedano
Design issues in Time Series dataset balancing algorithms
Neural Computing & Applications, ("In press"), Springer
ISI JCR Impact Factor 2018: 4.664 (15/132 - Artificial Intelligence)
URL
Rafael Vega-Vega, Héctor Quintián, Carlos Cambra, Nuño Basurto, , Álvaro Herrero, José Luís Calvo-Rolle
Delving into Android Malware Families with a Novel Neural Projection Method
Complexity, Vol. 2019, 6101697. , Hindawi
ISI JCR Impact Factor 2018: 2.591 (21/105 - Multidisciplinary Sciences)
URL
PDF
 
 
Álvaro Herrero, Alfredo Jiménez, Secil Bayraktar
Hybrid Unsupervised Exploratory Plots: a Case Study of Analysing Foreign Direct Investment
Complexity, Vol. 2019, 6271017. , Hindawi
ISI JCR Impact Factor 2018: 2.591 (21/105 - Multidisciplinary Sciences)
URL
PDF
 
 
Rafael Vega Vega, Héctor Quintián, José Luís Calvo-Rolle, Álvaro Herrero, Emilio Corchado
Gaining Deep Knowledge of Android Malware Families through Dimensionality Reduction Techniques
Logic Journal of the IGPL. Vol. 27(2): p. 160-176. . Oxford Journals
ISI JCR Impact Factor 2018: 0.609 (8/20 - Logic)
URL
 
 
 
M. Camino Escolar-Llamazares, Isbel Luis-Rico, Tamara De la Torre-Cruz, Álvaro Herrero, Alfredo Jiménez, Carmen Palmero-Cámara, Alfredo Jiménez-Eguizabal
The socio-educational, psychological and family-related antecedents of entrepreneurial intentions among Spanish youth
Sustainability. Vol. 11(5): 1252. MDPI
ISI JCR Impact Factor 2018: 2.592 (105/250 - Green & Sustainable Science & Technology))
URL
PDF
 
 

[up]