Álvaro-Ángel Orozco-Gutierrez

Orcid: 0000-0002-1167-1446

Affiliations:
  • Technological University of Pereira, Colombia


According to our database1, Álvaro-Ángel Orozco-Gutierrez authored at least 121 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Kreĭn twin support vector machines for imbalanced data classification.
Pattern Recognit. Lett., 2024

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

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

Bayesian Iterative Closest Point for Shape Analysis of Brain Structures.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

2022
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models.
Int. J. Neural Syst., 2022

Brain Shape Correspondence Analysis Using Variational Mixtures for Gaussian Process Latent Variable Models.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Brain Shape Correspondence Analysis Using Functional Maps.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2021
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation.
Sensors, 2021

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

Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE.
Comput., 2020

Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models.
Proceedings of the 28th European Signal Processing Conference, 2020

CSP-based discriminative capacity index from EEG supporting ADHD diagnosis.
Proceedings of the 28th European Signal Processing Conference, 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

HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition.
Proceedings of the Advances in Visual Computing, 2019

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

Multi-task learning for subthalamic nucleus identification in deep brain stimulation.
Int. J. Mach. Learn. Cybern., 2018

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

Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 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

Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier.
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

Emotion Recognition with Ensemble Using mRMR-Based Feature Selection.
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

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

Enhanced Graph Cuts for Brain Tumor Segmentation Using Bayesian Optimization.
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
SVM-based feature selection methods for emotion recognition from multimodal data.
J. Multimodal User Interfaces, 2017

Dynamic facial landmarking selection for emotion recognition using Gaussian processes.
J. Multimodal User Interfaces, 2017

Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach.
CoRR, 2017

Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 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
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging.
CoRR, 2016

A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Gaussian process dynamical models for multimodal affect recognition.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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 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

Sparse Linear Models Applied to Power Quality Disturbance Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

A Kernel-Based Approach for DBS Parameter Estimation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Gaussian Processes for Slice-Based Super-Resolution MR Images.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Global and Local Gaussian Process for Multioutput and Treed Data.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Information-Based Cost Function for a Bayesian MRI Segmentation Framework.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Automatic assessment of voice quality in the context of multiple annotations.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Indian Buffet Process for Model Selection in Latent Force Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Fall Detection Algorithm Based on Thresholds and Residual Events.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Discriminative Training for Convolved Multiple-Output Gaussian Processes.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Bayesian Shape Models with Shape Priors for MRI Brain Segmentation.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Gaussian Process Dynamical Models for Emotion Recognition.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery.
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

2013
Feature selection for multimodal emotion recognition in the arousal-valence space.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Pseudo-periodic surrogate data method on voice signals.
Proceedings of the 11th International Conference on Information Science, 2012

Nonlinear statistics for bearing diagnosis.
Proceedings of the 11th International Conference on Information Science, 2012

Statistical Models for Emotion Recognition using Facial Expression Analisys.
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012

Complex networks: Application to pathology detection in voice signals.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
EEG seizure identification by using optimized wavelet decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Testing for nonlinearity in non-stationary physiological time series.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Driving Fatigue Detection Using Active Shape Models.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Model-based Feature Extraction for Assessment of Driver-related Fatigue.
Proceedings of the ICINCO 2010, 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

2008
Reducción de espacios de entrenamiento de HMMS empleando DPCA.
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

Microelectrode Signals Segmentation Using Stationary Wavelet Transform.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

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

Kernel Principal Component Analysis through Time for Voice Disorder Classification.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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