Andrés Marino Álvarez-Meza
Orcid: 0000-0003-0308-9576Affiliations:
- National University of Colombia, Signal Processing and Recognition Group, Manizales, Bogotá, Colombia
According to our database1,
Andrés Marino Álvarez-Meza
authored at least 105 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot.
Remote. Sens., August, 2024
A Regularized Physics-Informed Neural Network to Support Data-Driven Nonlinear Constrained Optimization.
Comput., July, 2024
Pattern Recognit. Lett., 2024
2023
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
Sensors, April, 2023
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
Sensors, March, 2023
Sensors, 2023
Neurocomputing, 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
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
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
Vis. Comput., 2020
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
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
Pattern Recognit. Lett., 2018
Eng. Appl. Artif. Intell., 2018
Proceedings of the Applied Computer Sciences in Engineering, 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
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
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
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
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
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
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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
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
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
Pattern Recognit. Lett., 2016
Background modeling using Object-based Selective Updating and Correntropy adaptation.
Image Vis. Comput., 2016
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
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
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
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 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
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
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
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
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
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
2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 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 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
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 12th Annual Conference of the International Speech Communication Association, 2011
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
2009
Proceedings of the Progress in Pattern Recognition, 2009