Fundamentals

This is a multidisciplinary group with a strong background in applied and methodological Data Science research. Our research is fundamentally developed in statistical processes and is especially powerful in both data modeling and experimental designs, including active learning.

These are the main research lines:

- Experimental designs
- Statistical modeling
- Active learning
- Natural language processing and Sentiment analysis
- Complex networks: data mining and dynamics
- Optimization of energy-efficient engineering solutions
- Fractional Integration time series and Long Memory Processes
- Optimization algorithms and machine learning techniques
- Psychometry