Jose Miguel Leiva Murillo


Jose's picture

I'm a visiting professor at the Department of Signal Theory and Comunications of the Universidad Carlos III in Madrid. I belong to the Data Processing Group, leaded by Prof. Antonio Artés.

I obtained the M. Sc. degree in telecommunication engineering from Universidad de Málaga in 2001 and the Ph. D. in computer science in 2007 from Universidad Carlos III de Madrid. My research interests include information theory, machine learning, image processing and data mining-based approach to biomedicine.



Contact Information

Dpt. Signal Theory and Communications
Universidad Carlos III de Madrid

Avda. de la Universidad 30
28911 Leganés, Spain

Telephone: (+34) 916248450  

E-mail: jose 'at'

Office: 4.2.A12  (Torres-Quevedo building)

Main Publications


J. M. Leiva and E. Baca, Heat kernels for the characterization of the continuous space of mental disorders,  In preparation.


J. M. Leiva, J. López and E. Baca, Characterization of Suicidal Behaviour with Self-Organizing Maps, Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 13674

J. M. Leiva, G. Camps and L. Gómez, Multitask Remote Sensing Data Classification, IEEE Trans. on Geoscience and Remote Sensing, n. 99.


J. M. Leiva and A. Artés, Algorithms for Maximum-Likelihood Bandwidth Selection in Kernel Density Estimators, Pattern Recognition Letters, 33 (2012), pp. 1717-1724.

J. M. Leiva and A. Artés, Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review, IEEE Trans. on System, Man and Cybernetics part C, DOI 10.1109/TSMCC.2012.2187191.

I. Landa, E. Ortiz, S. Salcedo, M.J. Segovia, S. Gil, M. Miranda, J.M. Leiva, J. Del Ser, Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search—Extreme Learning Machine Approach, IEEE Journal of Selected Topics in Signal Processing, 6 (4), DOI 10.1109/JSTSP.2012.2199463, pp 388 - 398.


J. Lopez, M.M. Perez, M. de Prado, R. Santiago, J.M. Leiva, P. Freed, A. Alegria, J. Saiz, A. Artes, M. Oquendo, E. Baca, P. Courtet, F. Jollant, I. Jaussent, S. Guillaume, A. Malafosse, “Distinguishing the relevant features of frequent suicide attempters”, Journal of Psychiatric Research, 45(5), pp. 619-625, May 2011.

J. Leiva, A. Artes and E. Baca, Visualization and Prediction of Disease Interactions with Continuous-Time HMMs,  NIPS Workshop on Personalized Medicine, Granada (Spain), Dec. 2011.


S. Martens,  J. M. Leiva: A generative model approach for decoding in the visual ERP-based BCI speller. Journal of Neural Engineering, 7 (2), Feb 2010.

J. Leiva, L. Gómez, G. Camps, Multitask SVM Learning for Remote Sensing Data Classification, SPIE Remote Sensing, Toulouse (France), 2010.

J. Leiva, S. Martens, MLSP Competition, 2010: Description of first place method,  Machine Learning for Signal Processing (MLSP),  Kittilä (Finland) 2010.

S. Martens , J.  Leiva , J.  Mooij , J.  Hill , J.  Farquhar , B.  Schoelkopf, Strategies for decoding in the visual speller system, BCI Meeting 2010, Asilomar, CA, USA.

C. Widmer, J.M. Leiva, Y. Altun, G. Rätsch, Leveraging Sequence Classification by Taxonomy-based Multitask Learning, RECOMB, Lisbon (Portugal), 2010.


C. Widmer, J.M. Leiva, Y. Altun, G. Rätsch, Scalable Hierarchical Multitask Learning in Sequence Biology,
Machine Learning for Computational Biology Workshop, NIPS, Whistler (Canada), 2009.


J. M. Leiva, S. Salcedo,  A. Gallardo, A. Artés, A Simulated Annealing Approach to Speaker Segmentation in Audio Databases, Engineering Applications of Artificial Intelligence, 21 (4) , 499-508, 2008.

J.M. Leiva, A. Artés, Algorithms for Gaussian Bandwidth Selection in Kernel Density Estimators,
Workshop on Optimization for Machine Learning,
NIPS, Whistler (Canada), 2008.

J.M. Leiva, A. Artés, Linear Dimensionality Reduction with Gaussian Mixture Models, Cognitive Information Processing (CIP), Santorini (Greece). 2008.


J. M. Leiva, A. Artés Maximazation of Mutual Information for Supervised Feature Extraction, IEEE Transactions on Neural Networks 18 (5), 1433-1441, 2007.

E. Baca, M Perez,  I. Basurte, J. López, A. Fernandez, M. Jimenez, J. Gonzalez, J. Saiz, J. M. Leiva,  M. de Prado,  R. Santiago, A. Artés, M. Oquendo,  J. de Leon. Diagnostic stability and evolution of bipolar disorder in clinical practice, Acta Psychiatrica Scandinavica 115 (6),  473- 480, 2007.

E. Baca, M.Perez, D. Saiz, I. Basurte, J. Saiz, J. M. Leiva, M. de Prado, R. Santiago, A. Artés, J. de Leon, Variables associated with familial suicide attempts in a sample of suicide attempters, Progress in Neuro-Psychopharmacology & Biological Psychiatry 31, 1312-1316, 2007.

E. Ortiz, S. Salcedo, J. M. Leiva,  A. M. Pérez, J. A. Portilla, Automated Generation and Visualization of Picture-logic Puzzles, Computers & Graphics 31, 750-760, 2007.

M. Lazaro, J. M. Leiva, A. Artes, A.Figueiras, A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class, IJCNN  2007.

J. Alonso , R. Santiago, J. M.  Leiva, M. Lázaro, A. Artés, Real-time Tracking and Identification on an Intelligent IR-based Surveillance System, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), London (UK), 2007

J.M. Leiva,  Extracción de Características mediante Técnicas Basadas en Teoría de la Información, Ph.D. Dissertation, Universidad Carlos III, October  2007.


S. Salcedo, A. Gallardo, J. M. Leiva, C. Bousoño, Offline speaker segmentation using genetic algorithms and mutual information, IEEE Transactions on Evolutionary Computation 10 (2) , 175-186,  2006.

E. Baca, M.M. Pérez, I. Basurte, J. Saiz, J.M. Leiva, M. de Prado, R. Santiago, A. Artés, J. de León, Using Data Mining to Explore Complex Clinical Decisions: A Study of Hospitalization after a Suicide Attempt, Journal of Clinical Psychiatry 67, 1124-1132, 2006.

J. M. Leiva, A. Artés, A Fixed-Point Algorithm For Finding The Optimal Covariance Matrix in Kernel Density Modeling, ICASSP06, Toulouse (France)


J. M. Leiva, M. de Prado, A. Artés, Feature Extraction for SVMs, Learning04, Elche (Spain)

J. M. Leiva,  A. Artés, A Gaussian-mixture based Maximization of Mutual Information for Supervised Feature Extraction, Fifth International Conference ICA2004, Granada (Spain), 2004


J.M. Leiva, R. Santiago, S. Salcedo, A. Artés, Symbol Decision by Genetic Optimisation of Mutual Information,  Workshop Baiona 2003 on Signal Processing in Communications, Baiona (Pontevedra, Spain), 2003

R. Santiago, J. M. Leiva, F. Pérez,  A. Artés, Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Miami (USA), 2003


R. Santiago, J. M. Leiva, A. Artés, F. Pérez,   Independent Component Analysis and Support Vector Machines for Infrared Imagery, Learning'02.

J. M. Leiva, R. Santiago, F. Pérez  y A. Artés, Comparison of Supervised Feature Extraction Methods for Multispectral Images, Learning'02.


J.M. Leiva, P. Martinez, E.J. Perez, C. Urdiales y F. Sandoval, 3D reconstruction of a static indoor environment by fusion of sonar and video data, International Symposium on Intelligent Robotic Systems (SIRS), Toulouse (France), 2001

Matlab Code

Matlab code for Maximization of Mutual Information