Luis Guerra received the M.S. degree in Computer Science Engineer, the M.S. degree in Artificial Intelligence, and the Ph.D. degree in Artificial Intelligence, in 2008, 2010 and 2012, respectively all from the Universidad Politécnica de Madrid (UPM). He is currently a PostDoc researcher at the UPM with the Artificial Intelligence Department and a member of the Computational Intelligence Group and the Cajal Blue Brain Project. His research interests include data mining, specifically supervised and unsupervised classification, semi-supervised learning and feature subset selection in subspaces, and its applications to neuroscience.
- Guerra, L., Bielza, C., Robles, V., Larrañaga, P. (2013). Semi-supervised projected model-based clustering. Data Mining and Knowledge Discovery, accepted for publication
- Guerra, L., Robles, V., Bielza, C., Larrañaga, P. (2012). A comparison of cluster quality indices using outliers and noise. Intelligent Data Analysis, 16, 703-715
- Guerra, L., McGarry, L., Robles, V., Bielza, C., Larrañaga, P. & Yuste, R. (2011). Comparison between Supervised and Unsupervised Classification of Neuronal Cell Types: A Case Study. Developmental Neurobiology, 71(1), 71-82
- González, S., Guerra, L., Robles, V., Peña, JM., Famili, F. (2010). CliDaPa: A new approach to combining clinical data with DNA microarrays. Intelligent Data Analysis, 14(2), 207-223
- Guerra, L., Benavides-Piccione, R., Bielza, C., Robles, V., DeFelipe, J., Larrañaga, P. Semi-supervised projected clustering for classyfing GABAergic interneurons. AIME 2013, LNAI 7885, pp. 156–165, 2013.
- Guerra, L., González, S., Robles, V., Peña, J.M., Famili, F. (2008). CliDaPa: A new approach for combining clinical data with genes expressions. The Sixth International Conference on Bioinformatics of Genome Regulation and Structure