Research Areas & Applications

RESEARCH

The activities of our group can be summarized in the following research lines:

• Supervised Neural Networks [+info] [Show publications]
• Unsupervised Neural Networks [+info] [Show publications]
• Fuzzy Systems [+info] [Show publications]
• Genetic Algorithms and Evolutionary Strategies [+info] [Hide publications]
• Support Vector Machines [+info] [Show publications]
• Feature Selection and Extraction [+info] [Show publications]
• Pattern Recognition and Computer Vision [+info] [Show publications]
• Data and Knowledge Visualization [-info] [Show publications]

SOCO works on data and knowledge visualization as a problem that involves artificial pattern recognition as a complement to the natural pattern recognition involved in human visual system. As such, this is a key element of exploratory data mining. Our work focuses on latent variable models, probabilisitic self-organizing systems and Gaussian Processes.

The first five describe methodologies with a similar goal: the resolution of complex problems that cannot be efficiently solved by means of traditional computational methods (hard computing). Feature Selection and Extraction deals with problems of data dimensionality reduction that are present in all the previous lines. Finally, Pattern Recognition and Computer Vision copes with a huge application field where the performance of AI systems is usually worse than the human one, and where the soft computing techniques have great potential. Related to it, Data and Knowledge Visualization concerns ways in which Soft Computing complements human vision in problems of exploratory Data Mining.

Please follow the links for further description.

APPLICATIONS

SOCO currently works in a number of applications of these methodologies, which are summarized next:

[Show publications]

• Biomedical Applications [+info]
• Industrial and Environmental Applications [+info]
• Business Applications [+info]
• Social Sciences Applications [+info]

Please follow the links for further description.