Lab members

Juan Antonio Fernández del Pozo, PhD

Bojan Mihaljevic, PhD

Nikolas Bernaola, Phd student

Irene Córdoba, PhD student

David Atienza, PhD student

Carlos Villa, PhD student

Francisco Javier Mesonero, PhD student

David Quesada, PhD student

Gabriel Valverde, PhD student

Vicente Perez, PhD student

Our projects

CIG was created in 2008 and is led by professors Pedro Larrañaga and Concha Bielza. Research in CIG, both theoretical and practical, is devoted to modelization (from statistical and machine learning perspectives) and heuristic optimization, with applications in different areas.

The main research area is machine learning, whose current main issues include: data streams, multi-dimensional supervised classification, multi-label classification, clustering in high-dimensional spaces, feature subset selection using Bayesian networks and regularization.

In heuristic optimization we investigate improvements of state-of-the-art methods and their extension to complex problems (e.g., multi-objective functions, non-continuous objective functions), with special emphasis on estimation of distribution algorithms.

Neuroscience is an important field of application. Problems we face include: (a) neuroanatomy issues, such as modeling and simulation of dendritic trees and classification of neuron types based on morphological features; (b) neurodegenerative diseases, such as predicting health-related quality of life in Parkinson’s disease and searching for genetic biomarkers in Alzheimer’s disease. The second main field of application is Industry 4.0, where we develop machine learning solutions for cyber-physical systems. The third application field is sports, where we develop intelligent systems for coach assistance, injury prediction, football player performance prediction and their potential transfer to other clubs.

CIG has been involved in more than 100 research projects, mostly in public competitive calls but also for private companies. Current public projects include the Human Brain Project (H2020 FET Flagship, 2013-2013) and several national projects from the Spanish Ministry of Science, Innovation and Universities. CIG has also participated in the Cajal Blue Brain project (Ministry of Science and Innovation, 2008-2018). CIG has collaborated with companies as Telefónica I+D, Abbott, Arthur Andersen, Progenika Biopharma, Bank of Santander, Repsol, EtxeTar and Panda Security.

Last publications

Books:

Bielza, C., Larrañaga, P. (2020). Data-Driven Computational Neuroscience. Cambridge University Press, DOI: 10.1017/9781108642989

Yuste R, Lein E, Hawrylycz M, et al. A community-based transcriptomics classification and nomenclature of neocortical cell types. Nat. Neurosci, 2020. doi.org/10.1038/s41593-020-0685-8

Mihaljevic B, Benavides-Piccione R, Bielza C, Larrañaga P, DeFelipe J. Classification of GABAergic interneurons by leading neuroscientists. Scientific Data, 6, 221, 2019. doi.org/10.1038/s41597-019-0246-8

Luengo-Sanchez S, Larrañaga P, Bielza C. A directional-linear Bayesian network and its application for clustering and simulation of neural somas, IEEE Access, 7, 1, 69907-69921, 2019.

Anton-Sanchez L, Effenberger F, Bielza C, Larrañaga P, Cuntz H. A regularity index for dendrites – local statistics of a neuron’s input space, PLoS Computational Biology, 14, 11, e1006593, 2018. doi.org/10.1371/journal.pcbi.1006593