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Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills

Sensors (Basel, Switzerland), 2022-08, Vol.22 (15), p.5771

2022

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Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity

Sensors (Basel, Switzerland), 2023-03, Vol.23 (5), p.2750

2023

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Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins

BMC bioinformatics, 2013-02, Vol.14 (1), p.68-68, Article 68

2013

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Unsupervised Kernel Function Building Using Maximization of Information Potential Variability

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.335-342

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Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients

IEEE transactions on biomedical engineering, 2011-02, Vol.58 (2), p.370-379

2011

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Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

Entropy (Basel, Switzerland), 2020-06, Vol.22 (6), p.703

2020

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WEIGHTED TIME SERIES ANALYSIS FOR ELECTROENCEPHALOGRAPHIC SOURCE LOCALIZATION

Dyna (Medellín, Colombia), 2012-12, Vol.79 (176), p.64-70

2012

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Global and local choice of the number of nearest neighbors in locally linear embedding

Pattern recognition letters, 2011-12, Vol.32 (16), p.2171-2177

2011

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Spectral Clustering Using Compactly Supported Graph Building

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.327-334

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An improved method for voice pathology detection by means of a HMM-based feature space transformation

Pattern recognition, 2010-09, Vol.43 (9), p.3100-3112

2010

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Regularization parameter choice in locally linear embedding

Neurocomputing (Amsterdam), 2010-06, Vol.73 (10), p.1595-1605

2010

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

Neurocomputing (Amsterdam), 2015-05, Vol.156, p.268-279

2015

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Selección de características 2D en representaciones tiempo frecuencia para la detección de soplos cardíacos

Tecno - Lógicas (Instituto Tecnológico Metropolitano), 2011-06, Vol.26 (26), p.47-70

2011

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Clustering on dissimilarity representations for detecting mislabelled seismic signals at Nevado del Ruiz volcano

Earth sciences research journal, 2007-12, Vol.11 (2), p.131-138

2007

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A generalization of dissimilarity representations using feature lines and feature planes

Pattern recognition letters, 2009-02, Vol.30 (3), p.242-254

2009

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Selección automática de parámetros en LLE

Revista Facultad de Ingeniería, 2010-12 (56), p.170-181

2010

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Multi-atlas label fusion by using supervised local weighting for brain image segmentation

Tecno - Lógicas (Instituto Tecnológico Metropolitano), 2017-05, Vol.20 (39), p.209-225

2017

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Preproceso de datos en bioseñales: una aplicación en detección de patologías de voz

Ingeniería e investigación, 2009, Vol.29 (3), p.92-96

2009

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Time–frequency based feature selection for discrimination of non-stationary biosignals

EURASIP journal on advances in signal processing, 2012-10, Vol.2012 (1), p.1-18, Article 219

2012

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Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization/Mapeo acústico-articulatorio independiente del hablante usando normalización de la longitud del tracto vocal

Revista Facultad de Ingeniería, 2015-12 (77), p.162-162

2015

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Solving the EEG inverse problem based on space–time–frequency structured sparsity constraints

NeuroImage (Orlando, Fla.), 2015-09, Vol.118, p.598-612

2015

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Spectral Correlation Measure for Selecting Intrinsic Mode Functions

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.231-238

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Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization

Revista Facultad de Ingeniería, 2015-12 (77), p.162-169

2015

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OUTLIER DETECTION IN ROTATING MACHINERY UNDER NON-STATIONARY OPERATING CONDITIONS USING DYNAMIC FEATURES AND ONE-CLASS CLASSIFIERS

Dyna (Medellín, Colombia), 2013-01, Vol.80 (182), p.173-181

2013

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On classification improvement by using an approximate discriminative hidden Markov model

Revista Facultad de Ingeniería, 2013-03 (55), p.174-183

2013

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Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity

Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins

Unsupervised Kernel Function Building Using Maximization of Information Potential Variability

Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

WEIGHTED TIME SERIES ANALYSIS FOR ELECTROENCEPHALOGRAPHIC SOURCE LOCALIZATION

Global and local choice of the number of nearest neighbors in locally linear embedding

Spectral Clustering Using Compactly Supported Graph Building

An improved method for voice pathology detection by means of a HMM-based feature space transformation

Regularization parameter choice in locally linear embedding

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

Selección de características 2D en representaciones tiempo frecuencia para la detección de soplos cardíacos

Clustering on dissimilarity representations for detecting mislabelled seismic signals at Nevado del Ruiz volcano

A generalization of dissimilarity representations using feature lines and feature planes

Selección automática de parámetros en LLE

Multi-atlas label fusion by using supervised local weighting for brain image segmentation

Preproceso de datos en bioseñales: una aplicación en detección de patologías de voz

Time–frequency based feature selection for discrimination of non-stationary biosignals

Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization/Mapeo acústico-articulatorio independiente del hablante usando normalización de la longitud del tracto vocal

Solving the EEG inverse problem based on space–time–frequency structured sparsity constraints

Spectral Correlation Measure for Selecting Intrinsic Mode Functions

Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization

OUTLIER DETECTION IN ROTATING MACHINERY UNDER NON-STATIONARY OPERATING CONDITIONS USING DYNAMIC FEATURES AND ONE-CLASS CLASSIFIERS

On classification improvement by using an approximate discriminative hidden Markov model

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