Last update:
June 19. 2010 22:38:10
September 2010 - IDEAL 2010 conference in Paisley, Scotland (UK).
Abril 2010 - Deadline for papers submission to IDEAL 2010.
November 2009 - We are organizing a special session on ensembles at the IEA-AIE 2010 conference, more information here.
March 2009 - Official recognition of the group in our university. We can consider that as the official birth of the group, although we, the members of the group, were working together for a long time before that.
June 19. 2010 22:38:10
September 2010 - IDEAL 2010 conference in Paisley, Scotland (UK).
Abril 2010 - Deadline for papers submission to IDEAL 2010.
November 2009 - We are organizing a special session on ensembles at the IEA-AIE 2010 conference, more information here.
March 2009 - Official recognition of the group in our university. We can consider that as the official birth of the group, although we, the members of the group, were working together for a long time before that.
ADMIRABLE
The ADMIRABLE (Advanced Data MIning Research And Bioinformatics LEarning) research group main aim is the development of new ensemble algorithms and the application of data mining, data visualization and pattern matching techniques to diverse fields as bioinformatics, time series classification and high dimensional data analysis.Among the main achievements of the researchers of the group is the development of three new ensemble construction algorithms: Rotation Forest, Disturbing Neighbours and Nonlinear Boosting Projections that have aroused the interest of the data mining community.
Its member are in close relationship with research groups of other universities, currently collaborating with groups from the universities of Córdoba and Valladolid. The researchers of the group have international connections too. They have done research works while visiting other universities such as Stockholm University in Sweden, University of Gales and West Scotland University in United Kingdom, and Tsinghua University in China.
Its research interest are among others: Artificial Intelligence, Data Mining, Multi-Dimensional Data Visualization, Ensemble Construction, Bioinformatics, Regressors Ensembles, Instance Selection, Feature Selection, Decision Trees.