Andrés Marino Álvarez-Meza

Orcid: 0000-0003-0308-9576

Affiliations:
  • National University of Colombia, Signal Processing and Recognition Group, Manizales, Bogotá, Colombia


According to our database1, Andrés Marino Álvarez-Meza authored at least 102 papers between 2009 and 2023.

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

Timeline

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Bibliography

2023
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators.
IEEE Trans. Neural Networks Learn. Syst., August, 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

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments.
Sensors, April, 2023

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
Sensors, March, 2023

Affective Neural Responses Sonified through Labeled Correlation Alignment.
Sensors, 2023

Semi-supervised <i>t</i>-SNE with multi-scale neighborhood preservation.
Neurocomputing, 2023

2022
Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills.
Sensors, 2022

Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images.
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

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

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation.
Sensors, 2021

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators.
Sensors, 2021

An enhanced and interpretable feature representation approach to support shape classification from binary images.
Pattern Recognit. Lett., 2021

Relevant information undersampling to support imbalanced data classification.
Neurocomputing, 2021

Learning from multiple inconsistent and dependent annotators to support classification tasks.
Neurocomputing, 2021

Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks.
Biomed. Signal Process. Control., 2021

2020
Video-based social behavior recognition based on kernel relevance analysis.
Vis. Comput., 2020

Enhanced automatic twin support vector machine for imbalanced data classification.
Pattern Recognit., 2020

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.
Brain Informatics, 2020

2019
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging.
Expert Syst. Appl., 2019

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning.
Entropy, 2019

Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition.
Proceedings of the Advances in Visual Computing, 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

2018
Learning from multiple annotators using kernel alignment.
Pattern Recognit. Lett., 2018

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

A Fast Reliability Analysis Approach for Colombian Natural Gas Subnetworks.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Student Desertion Prediction Using Kernel Relevance Analysis.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Multilayer-Based HMM Training to Support Bearing Fault Diagnosis.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Video-Based Human Action Recognition Using Kernel Relevance Analysis.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Emotion Assessment Using Adaptive Learning-Based Relevance Analysis.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

A Kernelized Morphable Model for 3D Brain Tumor Analysis.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Information Potential Variability for Hyperparameter Selection in the MMD Distance.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

An Automatic Brain Tumor Segmentation Approach Based on Affinity Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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

A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

An Automatic Approximate Bayesian Computation Approach Using Metric Learning.
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

An Enhanced Sequential Search Feature Selection Based on mRMR to Support FCD Localization.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

A DTW-Based Representation to Support Static Sign Language Recognition from Binary Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

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

Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach.
CoRR, 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

Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis.
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

Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Emotion Assessment by Variability-Based Ranking of Coherence Features from EEG.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

3D Probabilistic Morphable Models for Brain Tumor Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

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

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

Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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

A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 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

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

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

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

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

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

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

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

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

Kernel Spectral Clustering for Dynamic Data.
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

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

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

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

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

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

Multiple Manifold Learning by Nonlinear Dimensionality Reduction.
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

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


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