Computational Intelligence Group (CIG)

Industry 4.0,, Computational Intelligence Group, CIG

Heuristic Optimization, Computational Intelligence Group, CIG

Neuroscience, Computational Intelligence Group, CIG

17th Machine Learning and Advanced Statistics Summer School

MLAS (formerly ASDM) complements the technical background of attendees in the field of data analysis and modelling, also providing a set of computational tools to try the studied techniques on practical problems.
Coming up, June 2025.

Modelization

The main research area is modelization, whose current main issues include: data streams, multi-dimensional supervised classification, multi-label classification, clustering in high-dimensional spaces, feature subset selection using methods as Bayesian networks, regularization, classification by regression.

Industry

Industry 4.0

The second main field of application is Industry 4.0 where we develop machine learning solutions for cyber-physical systems. Other application domains are: biomedicine, agriculture, bioinformatics, bibliometry and environment.

Heuristic

Heuristic optimization

In heuristic optimization, which is the second main line of research, we investigate state-of-the-art questions related to the improvement of heuristic optimization methods and extension of their applicability to more complex problems (e.g. multi-objective, mixed representation, non-continuous objective functions), with special emphasis on estimation of distribution algorithms.

Neuroscience

Neuroscience is the main field of application. Some problems that we face include: (a) neuroanatomy issues, like modeling and simulation of dendritic trees and classification of neuron types based on morphological features; (b) neurodegenerative diseases, like predicting health-related quality of life in Parkinson's disease and searching for genetic biomarkers in Alzheimer's disease.

120

Research Projects

220

JRC Articles

Awards

Theses

Leading Innovation in Computational Intelligence

The Computational Intelligence Group (CIG) was created in 2008 and is led by professors Pedro Larrañaga and Concha Bielza. Research of CIG members, both theoretical and practical, is devoted to modelization (from a statistical and machine learning perspectives), heuristic optimization, and neuroinformatics. The CIG has been involved in more than 100 research projects, mostly in public competitive calls but also for private companies. Current public projects include several national projects from the Spanish Ministry of Science and Innovation. CIG has collaborated with companies as Abbott, Arthur Andersen, Atos Origin, Bank of Santander, Etxe-Tar, Fundación BBVA, Fundación Gil Gayarre, Gaindu, Iberdrola, Idealista, Olocip 11, Panda Security, Progenika Biopharma, Repsol, Telefónica I+D and Titanium Industrial Security.

The Group

Concha Bielza

Full Professor

Pedro Larrañaga

Full Professor

Bojan Mihaljevic

Associate Professor

Juan Antonio Fernández

Associate Professor

PhD Student

PhD Student

PhD Student

PhD student

PhD Student

PhD Student

PhD Student

PhD Student

Technician

Technician

Management Technician

Collaborations: Public Contracts

Collaborations: Private Contracts

Collaborations: Academia

Highlighted Books

Data-driven Computational Neuroscience

Bielza, C., & Larrañaga, P. (2020). Data-driven Computational Neuroscience: Machine Learning and Statistical Models. Cambridge University Press.

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Industrial Applications of Machine Learning

Larrañaga, P., Atienza, D., Diaz-Rozo, J., Ogbechie, A., Puerto-Santana, C., & Bielza, C. (2018). Industrial Applications of Machine Learning. CRC Press.

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机器学习的工业应用

Larrañaga, P., Atienza, D., Diaz-Rozo, J., Ogbechie, A., Puerto-Santana, C., & Bielza, C. (2018). 机器学习的工业应用. CRC出版社.

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