Media

upm CIG's Pedro Larrañaga and Concha Bielza explain how machine learning can be applied for football science, intelligent scouting and preventing injuries here.

(Enero 2018)

upm CIG's Pedro Larrañaga and Concha Bielza explain how Big data and algorithms help football coaches here.

(Diciembre 2017)

upm CIG's Concha Bielza explains for Yodona how data science is applied to Medicine. The interview can be found in Spanish here.

(Mayo 2017)

upm CIG's Concha Bielza and Pedro Larrañaga talked for El Economista about Data Science. The interview can be found in Spanish here.

(Mayo 2017)

upm CIG's Concha Bielza and Pedro Larrañaga talked for ABC about Data Science. The interview can be found in Spanish here.

(Mayo 2017)

upm CIG's Concha Bielza talked for Universidad Politécnica de Madrid about her participation in the Conference celebrated in Madrid: Women in Data Science (WiDS). The interview can be found in Spanish here.

(Marzo 2017)

madrid+ CIG's Pedro Larrañaga explains for Madrid+ how data intelligence is applied to characterize neurons and discover different types by means of mathematical models. The interview can be found in Spanish here.

(January 2016)

el-mundo CIG's Pedro Larrañaga talked for El Mundo about Marvin Minsky. The interview can be found in Spanish here.

(January 2016)

canal-extremadura CIG's Pedro Larrañaga was interviewed for Canal Extremadura about the paper on "one-shot learning" published, as cover page, on December 11, 2015 in Science by Lake, Salahakhutdinov and Tenebaum. The interview can be found in Spanish here.

(December 2015)

el-mundo CIG's Pedro Larrañaga talked for El Mundo about the paper on "one-shot learning" published, as cover page, on December 11, 2015 in Science by Lake, Salahakhutdinov and Tenebaum. This paper has opened new possibilities to machine learning systems proposing human-level concept learning through probabilistic program induction. Read the article here.

(December 2015)

el-correo CIG's Concha Bielza and Pedro Larrañaga talked for El Correo Innova+ about artificial intelligence. Read the article here (in Spanish).

(July 2014)

el-correo CIG's Concha Bielza and Pedro Larrañaga talked for El Correo Innova+ about artificial intelligence. Read the article here (in Spanish).

(July 2014)

el-huyar CIG's Pedro Larrañaga talked for popular science magazine Elhuyar. Read the article here (in Basque).

(June 2014)

HBP CIG's Pedro Larrañaga talked for El Diario Vasco about the Human Brain Project and CIG's participation in it. Read the interview here (in Spanish).

(October 2013)

nci_universidad_iberoamericana CIG's Pedro Larrañaga and Javier DeFelipe from Instituto Cajal talked for NCI Universidad Iberoamericana about a machine learning approach for predicting the outcome of an epilepsy surgery. The episode can be viewed online.

(October 2013)

turing_year

Concha Bielza and Pedro Larrañaga, full professors at the Department of Artificial Intelligence, Technical University of Madrid, wrote a blog entry regarding Alan Turing's contribution to Bayesian statistics. The blog is published by Spanish newspaper 'El País' and is dedicated to the celebration of the Year of Alan Turing.

El Año de Turing (December 2012)

upm---cancer de colon

 

Researchers from the Technical University of Madrid (UPM) contribute to the search of a genetic test for a quick diagnosis of colorectal cancer. This test not only would help the clinical practice but also would reduce costs and patients' pain.

Saber Vivir, Madrid+dLa Vanguardia (September 2012)

 

bbp

 

Artificial Intelligence. Cajal Blue Brain project. Concha Bielza and Pedro Larrañaga, full professors at the Artificial Intelligence department (Universidad Politécnica de Madrid) in Radio 3.

Cajal Blue Brain project (January 2011)

 

bioinformatics

 

Through a study based on articles published in the journal Bioinformatics, researchers from the Department of Artificial Intelligence of the Universidad Politécnica de Madrid (UPM) have developed a series of models which will be able to predict, coinciding with the time of its publication, the total number of citations that a paper published in a magazine will receive.

Madri+d, SINC, UPM (March, 2010)

 

embrion

 

Together with CIG's Pedro Larrañaga, a team of researchers from the University of the Basque Country (UPV-EHU) have developed a mathematical classification which makes it possible to select human embryos for use in assisted reproduction treatments. Scientists have used the morphology of embryos to select the best candidates for implantation in the woman's uterus.

SINCDiario VascoScience DailyEl País (March, 2009)

poster


Computational Intelligence Group

The Computational Intelligence Group (CIG) was created in 2008 and is lead 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 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.

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 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.

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.

CIG has been involved in more than 100 research projects, mostly in public competitive calls but also for private companies. Current public projects include Human Brain Project, Cajal Blue Brain and several national projects from the Spanish Ministry of Science and Innovation. CIG has collaborated with companies as Telefónica I+D, Abbott, Arthur Andersen, Progenika Biopharma, Bank of Santander and Panda Security.

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