Germán Castellanos-Domínguez

According to our database1, Germán Castellanos-Domínguez authored at least 216 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Individual Detection of Citrus and Avocado Trees Using Extended Maxima Transform Summation on Digital Surface Models.
Remote. Sens., 2020

A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach.
Pattern Recognit. Lett., 2020

Influence of Patient-Specific Head Modeling on EEG Source Imaging.
Comput. Math. Methods Medicine, 2020

2019
Similarity preservation in dimensionality reduction using a kernel-based cost function.
Pattern Recognit. Lett., 2019

Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization.
Int. J. Neural Syst., 2019

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.
Int. J. Neural Syst., 2019

Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders.
Eng. Appl. Artif. Intell., 2019

Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks.
Biomed. Signal Process. Control., 2019

Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2019

Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification.
Proceedings of the Brain Informatics - 12th International Conference, 2019

2018
Supervised kernel approach for automated learning using General Stochastic Networks.
Eng. Appl. Artif. Intell., 2018

Relative Minimum Distance Between Projected Bags for Improved Multiple Instance Classification.
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018


Detecting EEG Dynamic Changes Using Supervised Temporal Patterns.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Generalized Low-Computational Cost Laplacian Eigenmaps.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Supervised and Unsupervised Identification of Concept Drifts in Data Streams of Seismic-Volcanic Signals.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Gender Effects on an EEG-Based Emotion Level Classification System.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Forward Modelling Complexity Influence in EEG Source Localization Using Real EEG Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Short Time EEG Connectivity Features to Support Interpretability of MI Discrimination.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis.
Proceedings of the Brain Informatics - International Conference, 2018

EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints.
Proceedings of the Brain Informatics - International Conference, 2018

Influence of Realistic Head Modeling on EEG Forward Problem.
Proceedings of the Brain Informatics - International Conference, 2018

Assessment of Source Connectivity for Emotional States Discrimination.
Proceedings of the Brain Informatics - International Conference, 2018

Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks.
Proceedings of the Brain Informatics - International Conference, 2018

2017
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity.
Neurocomputing, 2017

Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Influence of Anisotropic Blood Vessels Modeling on EEG Source Localization.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Influence of Population Dependent Forward Models on Distributed EEG Source Reconstruction.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2016
Automatic graph pruning based on kernel alignment for spectral clustering.
Pattern Recognit. Lett., 2016

Multiobjective Design of Wearable Sensor Systems for Electrocardiogram Monitoring.
J. Sensors, 2016

Background modeling using Object-based Selective Updating and Correntropy adaptation.
Image Vis. Comput., 2016

Reconstruction of Neural Activity from EEG Data Using Dynamic Spatiotemporal Constraints.
Int. J. Neural Syst., 2016

Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity.
Frontiers Comput. Neurosci., 2016

Enhancing the dissimilarity-based classification of birdsong recordings.
Ecol. Informatics, 2016

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis.
Comput. Math. Methods Medicine, 2016

Assessment of the Relation Between Low-Frequency Features and Velum Opening by Using Real Articulatory Data.
Proceedings of the Speech and Computer - 18th International Conference, 2016

Order Tracking by Square-Root Cubature Kalman Filter with Constraints.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

Multi-step-ahead forecasting using kernel adaptive filtering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

GMM Background Modeling Using Divergence-Based Weight Updating.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach.
Proceedings of the Brain Informatics and Health - International Conference, 2016

2015
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints.
NeuroImage, 2015

Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification.
Neurocomputing, 2015

Time-series discrimination using feature relevance analysis in motor imagery classification.
Neurocomputing, 2015

Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Predicting Sub-cellular Location of Proteins Based on Hierarchical Clustering and Hidden Markov Models.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Evaluation of Example-Based Measures for Multi-label Classification Performance.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Automatic age detection in normal and pathological voice.
Proceedings of the INTERSPEECH 2015, 2015

Multiple Instance Learning-Based Birdsong Classification Using Unsupervised Recording Segmentation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Information-Based Cost Function for a Bayesian MRI Segmentation Framework.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Kernel-Based Feature Relevance Analysis for ECG Beat Classification.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Fall Detection Algorithm Based on Thresholds and Residual Events.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Reviewing, selecting and evaluating features in distinguishing fine changes of global texture.
Pattern Anal. Appl., 2014

Building a Cepstrum-HMM kernel for Apnea identification.
Neurocomputing, 2014

Non uniform Embedding based on Relevance Analysis with reduced computational complexity: Application to the detection of pathologies from biosignal recordings.
Neurocomputing, 2014

Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance.
Proceedings of the ICPRAM 2014, 2014

Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Correntropy-Based Adaptive Learning to Support Video Surveillance Systems.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Functional relevant multichannel kernel adaptive filter for human activity analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

A multi-class extension for multi-labeler support vector machines.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Optimal Data Projection for Kernel Spectral Clustering.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Multiobjective optimization-based design of wearable electrocardiogram monitoring systems.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Very long-term ECG monitoring patch with improved functionality and wearability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Feature selection for discrimination of fractionation levels in atrial electrograms.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Identification of brain networks using time-varying spatial constraints of neural activity reconstruction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Entropy-based multichannel measure of stationarity for characterization of motor imagery patterns.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Influence of anisotropic white matter modeling on EEG source localization.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Three-layer-isotropic skull conductivity representation in the EEG forward problem using spherical head models.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Kernel-based Atlas Image Selection for brain tissue segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Tensor-product kernel-based representation encoding joint MRI view similarity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A latent force model for describing electric propagation in deep brain stimulation: A simulation study.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Spectral Correlation Measure for Selecting Intrinsic Mode Functions.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Quadratic Problem Formulation with Linear Constraints for Normalized Cut Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Stationary Signal Separation Using Multichannel Local Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Kernel-Based Image Representation for Brain MRI Discrimination.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Unsupervised Kernel Function Building Using Maximization of Information Potential Variability.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

Spectral Clustering Using Compactly Supported Graph Building.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Estimation of relevant time-frequency features using Kendall coefficient for articulator position inference.
Speech Commun., 2013

Evaluation of Region-of-Interest coders using perceptual image quality assessments.
J. Vis. Commun. Image Represent., 2013

Video analysis based on Multi-Kernel Representation with automatic parameter choice.
Neurocomputing, 2013

Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano.
Comput. Geosci., 2013

Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words.
Cogn. Comput., 2013

Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins.
BMC Bioinform., 2013

Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Kernel Spectral Clustering for Motion Tracking: A First Approach.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Heart Sound Segmentation in Noisy Environments.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Phonocardiography Signal Segmentation for Telemedicine Environments.
Proceedings of the Advances in Computational Intelligence, 2013

Rainfall Forecasting Based on Ensemble Empirical Mode Decomposition and Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2013

Automatic gender recognition in normal and pathological speech.
Proceedings of the INTERSPEECH 2013, 2013

Kernel spectral clustering for dynamic data using multiple kernel learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification.
Proceedings of the ICPRAM 2013, 2013

Video Segmentation Framework Based on Multi-kernel Representations and Feature Relevance Analysis for Object Classification.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Non-referenced Quality Assessment of Image Processing Methods in Infrared Non-destructive Testing.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Video Segmentation Framework by Dynamic Background Modelling.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

support vector machine-based aproach for multi-labelers problems.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Normalized cuts clustering with prior knowledge and a pre-clustering stage.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Automatic Singular Spectrum Analysis for Time-Series Decomposition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Wearable and superhydrophobic hardware for ambulatory biopotential acquisition.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A comparison of multi-label techniques based on problem transformation for protein functional prediction.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Stochastic relevance analysis of epileptic EEG signals for channel selection and classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Local binary fitting energy solution by graph cuts for MRI segmentation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Contact potentials via wavelet transform for prediction of subcellular localizations in gram negative bacterial proteins.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Estimating Respiratory Frequency from Heart Rate Variability during Treadmill Exercise Testing.
Proceedings of the Computing in Cardiology, 2013

Threshold Estimation in Energy-Based Methods for Segmenting Birdsong Recordings.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Kernel Spectral Clustering for Dynamic Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Automatic Graph Building Approach for Spectral Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

GMM-based Classifiers for the Automatic Detection of Obstructive Sleep Apnea.
Proceedings of the BIOSIGNALS 2013, 2013

A Methodology for Optimizing the Cost Matrix in Cost Sensitive Learning Models applied to Prediction of Molecular Functions in Embryophyta Plants.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

Optimization of Cost Sensitive Models to Improve Prediction of Molecular Functions.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013

A Channel Selection Method for EEG Classification based on Exponentially Damped Sinusoidal Model and Stochastic Relevance Analysis.
Proceedings of the BIOSIGNALS 2013, 2013

Predicting Molecular Functions in Plants using Wavelet-based Motifs.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Locally linear embedding based on correntropy measure for visualization and classification.
Neurocomputing, 2012

Detection of obstructive sleep apnoea using dynamic filter-banked features.
Expert Syst. Appl., 2012

Time-frequency based feature selection for discrimination of non-stationary biosignals.
EURASIP J. Adv. Signal Process., 2012

Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering.
Comput. Methods Programs Biomed., 2012

Multi-resolution analysis for region of interest extraction in thermographic nondestructive evaluation.
Proceedings of the Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 2012

Inference of Critical Articulator Position for Fricative Consonants.
Proceedings of the INTERSPEECH 2012, 2012

Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Time-frequency relevant features for critical articulators movement inference.
Proceedings of the 20th European Signal Processing Conference, 2012

Improvement of ECG signal quality measurement using correlation and diversity-based approaches.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Training using short-time features for OSA discrimination.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Effect of latency on clustering of P300 recordings for ADHD discrimination.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Extraction of stationary components in biosignal discrimination.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Influence of delay time on regularity estimation for voice pathology detection.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Improving the prediction of sub-cellular locations of proteins with a particle swarm optimization-based boosting strategy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An adaptation of Pfam profiles to predict protein sub-cellular localization in Gram positive bacteria.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Biomedical Data Analysis by Supervised Manifold Learning.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Human Activity Recognition by Class Label LLE.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Finite Rank Series Modeling for Discrimination of Non-stationary Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

An Improved Multi-Class Spectral Clustering Based on Normalized Cuts.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Feature Selection by Relevance Analysis for Abandoned Object Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Extraction of Stationary Spectral Components Using Stochastic Variability.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Wrapper and Filter Metrics for PSO-based Class Balance Applied to Protein Subcellular Localization.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2011
Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients.
IEEE Trans. Biomed. Engineering, 2011

Global and local choice of the number of nearest neighbors in locally linear embedding.
Pattern Recognit. Lett., 2011

Selection of Nonstationary Dynamic Features for Obstructive Sleep Apnoea Detection in Children.
EURASIP J. Adv. Signal Process., 2011

Relevance Analysis of Stochastic Biosignals for Identification of Pathologies.
EURASIP J. Adv. Signal Process., 2011

Robust Pathological Voice Detection Based on Component Information from HMM.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Complexity Analysis Using Nonuniform Embedding Techniques for Voice Pathological Discrimination.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Nonlinear Dynamics for Hypernasality Detection.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Automatic Detection of Hypernasality in Children.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Methodology for Epileptic Episode Detection Using Complexity-Based Features.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Discrimination of Epileptic Events Using EEG Rhythm Decomposition.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Methodology for Attention Deficit/Hyperactivity Disorder Detection by Means of Event-Related Potentials.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection.
Proceedings of the INTERSPEECH 2011, 2011

Sleep apnoea detection in children using PPG envelope-based dynamic features.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

EEG seizure identification by using optimized wavelet decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

EEG source localization based on multivariate autoregressive models using Kalman filtering.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

On determining available stochastic features by spectral splitting in obstructive sleep apnea detection.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Complexity-based analysis for the detection of heart murmurs.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Prediction of protein subcellular localization based on variable-length motifs detection and dissimilarity based classification.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Multiple Manifold Learning by Nonlinear Dimensionality Reduction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

Feature and Dissimilarity Representations for the Sound-Based Recognition of Bird Species.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

Image Synthesis Based on Manifold Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
An improved method for voice pathology detection by means of a HMM-based feature space transformation.
Pattern Recognit., 2010

Weighted feature extraction with a functional data extension.
Neurocomputing, 2010

Regularization parameter choice in locally linear embedding.
Neurocomputing, 2010

Feature selection using an ensemble of optimal wavelet packet and learning machine: Application to MER signals.
Proceedings of the 7th International Symposium on Communication Systems Networks and Digital Signal Processing, 2010

2009
Dimensionality Reduction Oriented Toward the Feature Visualization for Ischemia Detection.
IEEE Trans. Inf. Technol. Biomed., 2009

A generalization of dissimilarity representations using feature lines and feature planes.
Pattern Recognit. Lett., 2009

Unsupervised classification of atrial heartbeats using a prematurity index and wave morphology features.
Medical Biol. Eng. Comput., 2009

Dynamic Feature Extraction: an Application to Voice Pathology Detection.
Intelligent Automation & Soft Computing, 2009

Principal component analysis for HMM-based pathological voice detection.
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009

Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding.
Proceedings of the Progress in Pattern Recognition, 2009

Functional Feature Selection by Weighted Projections in Pathological Voice Detection.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Reducción de espacios de entrenamiento de HMMS empleando DPCA.
Rev. Avances en Sistemas Informática, 2008

Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

Microelectrode Signals Segmentation Using Stationary Wavelet Transform.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Optimización en el Desempeño de Algoritmos de Detección de Complejos QRS.
Rev. Avances en Sistemas Informática, 2007

Análisis Acústico sobre Señales de Auscultación Digital para la Detección de Soplos Cardíacos.
Rev. Avances en Sistemas Informática, 2007

Generalizing Dissimilarity Representations Using Feature Lines.
Proceedings of the Progress in Pattern Recognition, 2007

Feature Extraction of Weighted Data for Implicit Variable Selection.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006
Cinemática Inversa de un Brazo Robot Utilizando Algoritmos Genéticos.
Rev. Avances en Sistemas Informática, 2006

Comparison of the nearest feature classifiers for face recognition.
Mach. Vis. Appl., 2006


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