Germán Castellanos-Domínguez
Orcid: 0000-0002-0138-5489Affiliations:
- National University of Colombia, Manizales, Colombia
- Moscow Technical University of Communications and Informatics (MTUCI), Moscow, Russia (PhD 1990)
According to our database1,
Germán Castellanos-Domínguez
authored at least 240 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination.
Comput., June, 2023
Feet Segmentation for Regional Analgesia Monitoring Using Convolutional RFF and Layer-Wise Weighted CAM Interpretability.
Comput., June, 2023
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification.
Sensors, April, 2023
Sensors, April, 2023
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
Sensors, March, 2023
Sensors, 2023
2022
Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills.
Sensors, 2022
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022
2021
An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability.
Sensors, 2021
Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks.
Sensors, 2021
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires.
Sensors, 2021
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators.
Sensors, 2021
Neurocomputing, 2021
Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks.
Biomed. Signal Process. Control., 2021
2020
Vis. Comput., 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
Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns.
Entropy, 2020
Comput. Math. Methods Medicine, 2020
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.
Brain Informatics, 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
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
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
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
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
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
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
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
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
Proceedings of the Brain Informatics - International Conference, 2018
Proceedings of the Brain Informatics - International Conference, 2018
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
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
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
Pattern Recognit. Lett., 2016
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
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
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016
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
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
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
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
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
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
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
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
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
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
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
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
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
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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
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
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
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
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
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
J. Vis. Commun. Image Represent., 2013
Neurocomputing, 2013
Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano.
Comput. Geosci., 2013
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
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
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
Proceedings of the INTERSPEECH 2013, 2013
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
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
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
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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
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
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
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
Expert Syst. Appl., 2012
Time-frequency based feature selection for discrimination of non-stationary biosignals.
EURASIP J. Adv. Signal Process., 2012
Comput. Methods Programs Biomed., 2012
Quantifying image distortion based on Gabor filter bank and multiple regression analysis.
Proceedings of the Image Quality and System Performance IX, 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
Proceedings of the INTERSPEECH 2012, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
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
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
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
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
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. Eng., 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
EURASIP J. Adv. Signal Process., 2011
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
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Proceedings of the New Challenges on Bioinspired Applications, 2011
Proceedings of the New Challenges on Bioinspired Applications, 2011
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
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
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
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
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
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
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
Intell. Autom. Soft Comput., 2009
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009
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
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
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008
2007
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
Proceedings of the Progress in Pattern Recognition, 2007
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007
2006
Rev. Avances en Sistemas Informática, 2006
Mach. Vis. Appl., 2006
Feature Extraction & Lips Posture Detection Oriented to the Treatment of CLP Children.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Identification of Spike Sources using Proximity Analysis through Hidden Markov Models.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006