Rubén Martín Clemente

Profesor Titular de Universidad
ruben@us.es
Área de conocimiento: Teoría de la Señal y Comunicaciones
Departamento: Teoría de la Señal y Comunicaciones
Grupo: Tecnologías de aprendizaje automático y procesado digital de la información (TIC-246)
Prog. doctorado: Prog.de Doct. en Ingeniería Automática, Electrónica y de Telecomunicación
Tipo Año Título Fuente
Artículo2021 L1-norm unsupervised Fukunaga-Koontz transform SIGNAL PROCESSING
Artículo2021 Reliability analysis of individual visual P1 and N1 maps indicates the heterogeneous topographies involved in early visual processing among human subjects BEHAVIOURAL BRAIN RESEARCH
Revisión2021 Revisión sistemática de la aplicación de algoritmos de «machine learning» en la esclerosis múltiple NEUROLOGIA
Artículo2020 Altered phase and nonphase EEG activity expose impaired maintenance of a spatial-object attentional focus in multiple sclerosis patients SCIENTIFIC REPORTS
Artículo2020 Individual test-retest reliability of evoked and induced alpha activity in human EEG data PLOS ONE
Artículo2020 LDA via L1-PCA of Whitened Data IEEE Transactions on Signal Processing
Artículo2020 Prediction of Satellite Shadowing in Smart Cities with Application to IoT SENSORS
Artículo2019 EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Editorial2019 Information Theory Applications in Signal Processing ENTROPY
Artículo2019 Multiple evoked and induced alpha modulations in a visual attention task: Latency, amplitude and topographical profiles PLOS ONE
Ponencia2019 Unsupervised Classification of Array Data Based on the L1-Norm Conference Record - Asilomar Conference on Signals, Systems and Computers
Artículo2019 Unsupervised Common Spatial Patterns IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Revisión2018 Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison ENTROPY
Ponencia2018 L1-PCA signal subspace identification for non-sphered data under the ICA model 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
Artículo2017 On the Link Between L1-PCA and ICA IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Artículo2014 Exploratory Analysis of Brain with ICA BLIND SOURCE SEPARATION: ADVANCES IN THEORY, ALGORITHMS AND APPLICATIONS
Artículo2012 Independent component analysis based on first-order statistics SIGNAL PROCESSING
Ponencia2011 Fast Independent Component Analysis Using a New Property ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2011, PT II
Artículo2011 Fast Technique for Noninvasive Fetal ECG Extraction IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Ponencia2011 Independent component analysis: A low-complexity technique NEW CHALLENGES ON BIOINSPIRED APPLICATIONS
Artículo2011 The Maternal Abdominal ECG as Input to MICA in the Fetal ECG Extraction Problem IEEE SIGNAL PROCESSING LETTERS
Artículo2010 Estudio del tipo de alineamiento en un sistema de traducción estadística de castellano a Lengua de Signos Española (LSE) PROCESAMIENTO DEL LENGUAJE NATURAL
Ponencia2007 Automatic detection of filters in images with Gaussian noise using independent component analysis COMPUTATIONAL AND AMBIENT INTELLIGENCE
Ponencia2006 Contributions to ICA of natural images 2006 14TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
Artículo2006 Effective blind separation of skewed sources SIGNAL PROCESSING
Ponencia2006 Image processing using ICA: a new perspective CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING , INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS
Artículo2006 Maximization of statistical moments for blind separation of sources revisited NEUROCOMPUTING
Artículo2005 Connections between ICA and sparse coding revisited COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS
Artículo2005 On the connection between the human visual system and independent component analysis ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING APPLICATIONS: A BIOINSPIRED APPROACH, PT 2, PROCEEDINGS
Ponencia2004 Application of independent component analysis to edge detection Intelligent Automations and Control: Trends Principles, and Applications, Vol 16
Artículo2004 Blind source separation in post-nonlinear mixtures using competitive learning, simulated annealing, and a genetic algorithm IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
Artículo2004 Characterization of the sources in convolutive mixtures: A cumulant-based approach INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION
Artículo2004 Eigendecomposition of self-tuned cumulant-matrices for blind source separation SIGNAL PROCESSING
Ponencia2004 Genetic algorithms in parallel neural networks SOFT COMPUTING WITH INDUSTRIAL APPLICATIONS, VOL 17
Artículo2004 Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals Lecture Notes in Computer Science
Artículo2004 Geometrical ICA-based method for mind separation of super-Gaussian signals INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION
Artículo2004 New eigensystem-based method for blind source separation INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION
Ponencia2004 Parallelization of time series forecasting model 12TH EUROMICRO CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING, PROCEEDINGS
Ponencia2004 Using confidence interval of a regularization network MELECON 2004: PROCEEDINGS OF THE 12TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1-3
Ponencia2003 Adaptive and heuristic approaches for nonlinear source separation PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4
Artículo2003 Application of independent component analysis to edge detection and watermarking ARTIFICIAL NEURAL NETS PROBLEM SOLVING METHODS, PT II
Ponencia2003 Neural net with two hidden layers for non-linear blind source separation PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4
Ponencia2003 New geometric ICA approach for blind source separation Advances in Soft Computing
Artículo2003 Post-nonlinear blind source separation using methaheuristics ELECTRONICS LETTERS
Artículo2002 Applying neural networks and genetic algorithms to the separation of sources ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2002, PROCEEDINGS
Artículo2002 New equations and iterative algorithm for blind separation of sources SIGNAL PROCESSING
Artículo2001 A conjugate gradient method and simulated annealing for blind separation of sources Lecture Notes in Computer Science
Resumen congreso2001 A new cumulant-based criterion for iterative blind source separation. 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS
Ponencia2001 Blind separation of sources by differentiating the output cumulants and using Newton’s method ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS
Ponencia1998 Caracterización simultánea de múltiples fuentes de ruido en acústica medioambiental XIII Simposium Nacional de la Unión Científica Internacional de Radio: Pamplona, 16, 17 y 18 de septiembre de 1998 : libro de actas
Artículo1997 Blind separation of sources using a new polynomial equation ELECTRONICS LETTERS
Artículo1997 Design of log FIR filters SIGNAL PROCESSING
Ponencia1996 Blind separation of sources: stability results and comparisons Fourth Baiona Workshop on Intelligent Methods for Signal Processing and Communications: based on the proccedings of a conference organized by the University of Vigo, held at Baiona in June 1996