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Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2186

2021

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A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments

Sensors (Basel, Switzerland), 2023-04, Vol.23 (7), p.3763

2023

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Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7741

2021

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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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Multiple Kernel Stein Spatial Patterns for the Multiclass Discrimination of Motor Imagery Tasks

Applied sciences, 2020-12, Vol.10 (23), p.8628

2020

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Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis

Frontiers in neuroscience, 2017-07, Vol.11, p.413-413

2017

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Waterpixels

IEEE transactions on image processing, 2015-11, Vol.24 (11), p.3707-3716

2015

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Direct multiphase mesh generation from 3D images using anisotropic mesh adaptation and a redistancing equation

Computer methods in applied mechanics and engineering, 2016-09, Vol.309, p.288-306

2016

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Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano

Computers & geosciences, 2013-02, Vol.51, p.293-304

2013

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Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis

Computational and mathematical methods in medicine, 2016-01, Vol.2016, p.9523849-10

2016

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Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.620-628

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Brain Shape Correspondence Analysis Using Functional Maps

Advances in Visual Computing, p.3-12

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Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks

Progress in Artificial Intelligence and Pattern Recognition, p.359-367

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Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net

Progress in Artificial Intelligence and Pattern Recognition, p.124-133

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Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning

Progress in Artificial Intelligence and Pattern Recognition, p.201-209

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Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression

Progress in Artificial Intelligence and Pattern Recognition, p.424-433

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Adaptive Bayesian label fusion using kernel-based similarity metrics in hippocampus segmentation

Journal of medical imaging (Bellingham, Wash.), 2019-01, Vol.6 (1), p.014003-014003

2019

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Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces

Progress in Artificial Intelligence and Pattern Recognition, p.326-333

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Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.357-364

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Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks

Progress in Artificial Intelligence and Pattern Recognition, p.334-341

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Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery

Progress in Artificial Intelligence and Pattern Recognition, p.210-218

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Detecting EEG Dynamic Changes Using Supervised Temporal Patterns

Progress in Artificial Intelligence and Pattern Recognition, p.351-358

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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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APLICACIÓN DEL PROCESAMIENTO DIGITAL DE SEÑALES AL ESTUDIO DE ESPECTROS ÓPTICOS DE EMISIÓN

Dyna (Medellín, Colombia), 2009, Vol.76 (159), p.205-215

2009

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Evaluation of segmentation methods on head and neck CT: Auto‐segmentation challenge 2015

Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation

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

Multiple Kernel Stein Spatial Patterns for the Multiclass Discrimination of Motor Imagery Tasks

Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis

Waterpixels

Direct multiphase mesh generation from 3D images using anisotropic mesh adaptation and a redistancing equation

Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis

Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks

Brain Shape Correspondence Analysis Using Functional Maps

Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks

Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning

Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression

Adaptive Bayesian label fusion using kernel-based similarity metrics in hippocampus segmentation

Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces

Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images

Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks

Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery

Detecting EEG Dynamic Changes Using Supervised Temporal Patterns

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

APLICACIÓN DEL PROCESAMIENTO DIGITAL DE SEÑALES AL ESTUDIO DE ESPECTROS ÓPTICOS DE EMISIÓN

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