Research Group in Intelligent Systems
Recent Posts
- GRSI’s interview in COM radio. May a machine ever behave humanly?
- Albert Fornells wins extraordinary thesis award
- Video of Ho’s interview on the limits of machine learning
- First approach toward on-line evolution of association rules with learning classifier systems
- Hierarchical Evolution of Linear Regressors!
- GECCO’s crancking up. Warming up for tomorrow’s GBML sessions
- IWLCS 2008 running!
- Tin Kam Ho Visiting GRSI on May 13
- HIS’2008: Special Session on “LCS: New Trends and Challenges”
- Albert Fornells’s dissertation
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The research of the Grup de Recerca en Sistemes Intel.ligents (Research Group in Intelligent Systems), GRSI, is focused on Machine Learning, especially on the field of Knowledge Discovery from Databases (also known as Data Mining). We aim at extracting interesting patterns from moderate and large data sets. In this framework, GRSI works on different stages of the process of data mining: pre-processing, characterization of data sets, analysis for a better understanding and improvement of machine learning techniques, methodologies to evaluate learners, and post-processing. During the last few years, the research has mainly focused on learning methods inspired in natural principles and analogy. The group is known for its expertise on Evolutionary Computation, Soft Case-Based Reasoning, and Neural Networks. We seek for applying our research to real world domains which may benefit society in the near future. Some of our recent applications are the support to the diagnosis of breast cancer, and the computer-aided analysis of attacks in computer networks. Currently, we are working on other challenging medical and industry applications.