Presentación

El Grupo de Inteligencia Computacional Aplicada (GICAP), dirigido desde la Universidad de Burgos, agrupa a un amplio número de investigadores interesados principalmente en el desarrollo de herramientas basadas en la Inteligencia Artificial para la resolución de problemas reales.

El grupo GICAP se caracteriza por ser internacional, interuniversitario y multidisciplinar. Internacional e interunivesitario por incluir a investigadores de varios países, universidades y centros de investigación y multidisciplinar por el variado perfil de sus miembros: informáticos, físicos, matemáticos, ingenieros, psicólogos y economistas.

GICAP

Miembro de

IEEE_SMC-SC


MIRLABS

   

Próximos Eventos

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Mayo 2020

Call for Papers Secial Issue: Applications of Artificial Intelligence for Sustainable Development (AAISD). Journal: Sustainability (MDPI)

 

Junio 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

 

Septiembre 2020

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

 

Octubre 2020

IEEE SMC 2020 Special Session - Ethics in AI, Cyber-Physical and IoT Systems
HAIS 2020 15th International Conference on Hybrid Artificial Intelligence Systems

Publicaciones recientes

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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)
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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, Vol. 32, p. 1287–1304. Springer
ISI JCR Impact Factor 2018: 4.664 (15/132 - Artificial Intelligence)
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Ángel Arroyo, Carlos Cambra, Álvaro Herrero, Verónica Tricio, Emilio Corchado
Self-Organizing Maps to Validate Anti-Pollution Policies
Logic Journal of the IGPL. ("Accepted - In press"). Oxford Journals
ISI JCR Impact Factor 2018: 0.609 (8/20 - Logic)
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Julio Puche, Secil Bayraktar, Álvaro Herrero, Alfredo Jiménez
Corruption and Private Participation Infrastructure Projects: The Moderating Role of Vicarious Experience
Canadian Journal of Administrative Sciences, ("Accepted - In press"), Wiley
ISI JCR Impact Factor 2018: 0.849 (195/217 Management)
 
 
 
 
Carlos Alonso de Armiño, Miguel Ángel Manzanedo del Campo, Álvaro Herrero
Analysing the Intermeshed Patterns of Road Transportation and Macroeconomic Indicators through Neural and Clustering Techniques
Pattern Analysis and Applications, ("Accepted - In press"), Springer
ISI JCR Impact Factor 2018: 1.410 (92/133 Artificial Intelligence)
 
 
 
 
M. I. Luis-Rico, M. C. Escolar-Llamazares, T. De la Torre-Cruz, A. Jiménez, Á. Herrero, C. Palmero-Cámara, A. Jiménez-Eguizábal
Entrepreneurial interest and entrepreneurial competence among Spanish youth: an analysis with Artificial Neural Networks
Sustainability, ("Accepted - In press"), MDPI
ISI JCR Impact Factor 2018: 2.592 (105/250 Green & Sustainable Science & Technology)
 
 
 
 

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