The Intelligent Systems and Data Mining ( SIMD ) research group was born in 2000 under the direction of José Antonio Gámez Martín and José Miguel Puerta Callejón.
Their main research is focused on:
- Data mining and machine learning: knowledge discovery and its representation as Bayesian networks, decision trees and rule-based systems.
- Systems of decision making under conditions of uncertainty: probabilistic expert systems ( Bayesian networks ), fuzzy rule-based systems, …
- Adaptive learning systems use email, web mining …
- Metaheuristics and evolutionary computation: genetic algorithms, ant colonies, distribution estimation algorithms, … and its application in combinatorial optimization and search problems.
- Speech machine translation techniques from statistics.
- Applications to real problems.
- Mobile robotics: localization algorithms for mobile robots and image processing for object recognition.
- Multimodal interaction: multimodal communication mechanisms for social robots.