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ORCIDAndrés Marino Álvarez-Meza
Andrés Álvarez-Meza – A. Álvarez-Meza – A. M. Álvarez-Mesa – Andrés M. Álvarez
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- affiliation: National University of Colombia, Signal Processing and Recognition Group, Manizales, Bogotá, Colombia
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2020 – today
- 2023
[j33]Juan Carlos Aguirre-Arango
, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Feet Segmentation for Regional Analgesia Monitoring Using Convolutional RFF and Layer-Wise Weighted CAM Interpretability. Comput. 11(6): 113 (2023)- [j32]Mateo Tobón-Henao, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination. Comput. 12(7): 145 (2023) - [j31]Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez:
Semi-supervised t-SNE with multi-scale neighborhood preservation. Neurocomputing 550: 126496 (2023) - [j30]Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, César Germán Castellanos-Domínguez:
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. Sensors 23(5): 2750 (2023) - [j29]Jenniffer Carolina Triana-Martinez, Julián Gil González, Jose Armando Fernandez-Gallego, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification. Sensors 23(7): 3518 (2023) - [j28]Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, Germán Castellanos-Domínguez:
A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Sensors 23(7): 3763 (2023) - [j27]Andrés Marino Álvarez-Meza, Héctor Fabio Torres Cardona, Mauricio Orozco-Alzate, Hernan Dario Perez-Nastar, Germán Castellanos-Domínguez:
Affective Neural Responses Sonified through Labeled Correlation Alignment. Sensors 23(12): 5574 (2023) - [j26]Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Mauricio A. Álvarez:
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4514-4528 (2023) - 2022
- [j25]Mateo Tobón-Henao, Andrés Álvarez-Meza, Germán Castellanos-Domínguez:
Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills. Sensors 22(15): 5771 (2022) - [c68]Rafael Mejia-Zuluaga, Juan Carlos Aguirre-Arango, Diego Collazos-Huertas, Jessica Daza-Castillo, Néstor Valencia-Marulanda, Mauricio Calderón-Marulanda, Oscar David Aguirre-Ospina, Andrés Álvarez-Meza, Germán Castellanos-Domínguez:
Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images. IBERAMIA 2022: 342-352 - 2021
- [j24]Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks. Biomed. Signal Process. Control. 68: 102626 (2021) - [j23]Julián Gil González, Álvaro-Ángel Orozco-Gutierrez, Andrés Álvarez-Meza:
Learning from multiple inconsistent and dependent annotators to support classification tasks. Neurocomputing 423: 236-247 (2021) - [j22]J. Hoyos-Osorio, A. Álvarez-Meza, Genaro Daza-Santacoloma, Álvaro-Ángel Orozco-Gutierrez, Germán Castellanos-Domínguez:
Relevant information undersampling to support imbalanced data classification. Neurocomputing 436: 136-146 (2021) - [j21]J. S. Blandon, Álvaro-Ángel Orozco-Gutierrez, Andrés Marino Álvarez-Meza:
An enhanced and interpretable feature representation approach to support shape classification from binary images. Pattern Recognit. Lett. 151: 348-354 (2021) - [j20]Julian Caicedo-Acosta, German A. Castaño, Carlos Daniel Acosta-Medina, Andrés Álvarez-Meza, Germán Castellanos-Domínguez:
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators. Sensors 21(6): 1932 (2021) - [j19]Andrés F. Valencia-Duque, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Héctor Fabio Quintero Riaza:
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. Sensors 21(6): 2186 (2021) - [j18]Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks. Sensors 21(8): 2750 (2021) - [j17]Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability. Sensors 21(13): 4443 (2021) - [j16]Diego Fabian Collazos-Huertas, Luisa Fernanda Velásquez-Martínez, Hernan Dario Perez-Nastar, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. Sensors 21(15): 5105 (2021) - [j15]Cristian Alfonso Jimenez Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez:
Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors 21(22): 7741 (2021) - 2020
- [j14]Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castaño Duque, Germán Castellanos-Domínguez:
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification. Brain Informatics 7(1): 8 (2020) - [j13]Cristian Jimenez Castaño, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez:
Enhanced automatic twin support vector machine for imbalanced data classification. Pattern Recognit. 107: 107442 (2020) - [j12]Jorge Fernández-Ramírez, A. Álvarez-Meza, E. M. Pereira, Álvaro Ángel Orozco-Guitiérrez, Germán Castellanos-Domínguez:
Video-based social behavior recognition based on kernel relevance analysis. Vis. Comput. 36(8): 1535-1547 (2020)
2010 – 2019
- 2019
- [j11]Wilson González-Vanegas, Andrés Marino Álvarez-Meza, J. A. Hernández-Muriel, Álvaro-Ángel Orozco-Gutierrez:
AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning. Entropy 21(10): 932 (2019) - [j10]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Andrés M. Álvarez, Mauricio A. Álvarez:
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. 118: 92-108 (2019) - [c67]Daniel Guillermo García-Murillo, Andrés M. Álvarez, David Cárdenas-Peña, William Hincapie-Restrepo, Germán Castellanos-Domínguez:
Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images. CIARP 2019: 357-364 - [c66]Jorge Fernández-Ramírez, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Julián David Echeverry Correa:
Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition. ISVC (2) 2019: 38-49 - 2018
- [j9]David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Supervised kernel approach for automated learning using General Stochastic Networks. Eng. Appl. Artif. Intell. 68: 10-17 (2018) - [j8]Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Learning from multiple annotators using kernel alignment. Pattern Recognit. Lett. 116: 150-156 (2018) - [c65]Wilson González-Vanegas, A. Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez:
An Automatic Approximate Bayesian Computation Approach Using Metric Learning. CIARP 2018: 12-19 - [c64]Cristian Jimenez, Andrés Marino Álvarez-Meza, Álvaro Orozco:
A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM. CIARP 2018: 55-63 - [c63]Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco:
Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous. CIARP 2018: 91-99 - [c62]Juan Diego Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, Steven Van Vaerenbergh, Ignacio Santamaría, Germán Castellanos-Domínguez:
Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning. CIARP 2018: 186-193 - [c61]Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Orozco:
Information Potential Variability for Hyperparameter Selection in the MMD Distance. CIARP 2018: 279-286 - [c60]J. Castañeda-Gonzalez, A. Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
An Enhanced Sequential Search Feature Selection Based on mRMR to Support FCD Localization. CIARP 2018: 487-495 - [c59]Viviana Gómez-Orozco, A. Álvarez-Meza, Paula Herrera, Germán Castellanos-Domínguez, Álvaro Orozco:
Short Time EEG Connectivity Features to Support Interpretability of MI Discrimination. CIARP 2018: 699-706 - [c58]Robinson Aguilar, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Piedad Navarro:
Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines. CIARP 2018: 740-747 - [c57]C. Ramirez, Viviana Gómez-Orozco, Iván De La Pava, Andrés Marino Álvarez-Meza, Julián David Echeverry, Jorge I. Ríos, Álvaro Orozco:
An Automatic Brain Tumor Segmentation Approach Based on Affinity Clustering. CIARP 2018: 766-773 - [c56]Iván De La Pava, A. Álvarez-Meza, Paula Herrera, Germán Castellanos-Domínguez, Álvaro Orozco:
Gender Effects on an EEG-Based Emotion Level Classification System. CIARP 2018: 810-819 - [c55]J. S. Blandon, Andrés Marino Álvarez-Meza, Álvaro Orozco:
A DTW-Based Representation to Support Static Sign Language Recognition from Binary Images. CIARP 2018: 938-945 - [c54]Cristian A. Torres-Valencia, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Emotion Assessment Using Adaptive Learning-Based Relevance Analysis. ICIAR 2018: 193-200 - [c53]J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco:
Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. ICIAR 2018: 245-251 - [c52]David A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Ángel Orozco, Germán Holguín:
A Kernelized Morphable Model for 3D Brain Tumor Analysis. ICIAR 2018: 529-537 - [c51]Jorge Fernández-Ramírez, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Video-Based Human Action Recognition Using Kernel Relevance Analysis. ISVC 2018: 116-125 - [c50]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez:
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC 2018: 371-381 - [c49]Jorge Fernández, Andrés M. Álvarez, Héctor F. Quintero, Julián David Echeverry, Álvaro Orozco:
Multilayer-Based HMM Training to Support Bearing Fault Diagnosis. IWAIPR 2018: 43-50 - [c48]Jorge Fernández, Angélica Rojas, Genaro Daza-Santacoloma, Diana Gómez, Andrés M. Álvarez, Álvaro Orozco:
Student Desertion Prediction Using Kernel Relevance Analysis. IWAIPR 2018: 263-270 - [c47]Wilson González-Vanegas, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
A Fast Reliability Analysis Approach for Colombian Natural Gas Subnetworks. WEA (2) 2018: 348-356 - 2017
- [j7]Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez:
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing 222: 36-46 (2017) - [c46]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Á. Orozco:
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP 2017: 168-176 - [c45]Iván De La Pava, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Emotion Assessment by Variability-Based Ranking of Coherence Features from EEG. CIARP 2017: 203-211 - [c44]Julián Gil González, Andrés M. Álvarez, Andrés F. Valencia, Álvaro Á. Orozco:
Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators. CIARP 2017: 246-254 - [c43]Wilson González-Vanegas, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems. CIARP 2017: 255-262 - [c42]Keider Hoyos-Osorio, Andrés M. Álvarez, Álvaro Á. Orozco, Jorge I. Ríos, Genaro Daza-Santacoloma:
Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias. CIARP 2017: 298-305 - [c41]David A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Á. Orozco:
3D Probabilistic Morphable Models for Brain Tumor Segmentation. CIARP 2017: 314-322 - [c40]Walter Serna-Serna, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez:
Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building. CIARP 2017: 618-626 - [c39]Cristian A. Torres-Valencia, A. Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis. IWINAC (1) 2017: 353-362 - [c38]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings. IWINAC (1) 2017: 435-443 - [c37]Juan D. Pulgarin-Giraldo, A. A. Ruales-Torres, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data. IWINAC (2) 2017: 501-509 - [i1]Roger Gomez Nieto, Andrés Marino Álvarez-Meza, Julián David Echeverry Correa, Álvaro Ángel Orozco-Guitiérrez:
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach. CoRR abs/1706.04254 (2017) - 2016
- [j6]Andrés Marino Álvarez-Meza, Santiago Molina-Giraldo, Germán Castellanos-Domínguez:
Background modeling using Object-based Selective Updating and Correntropy adaptation. Image Vis. Comput. 45: 22-36 (2016) - [j5]Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina, Germán Castellanos-Domínguez:
Automatic graph pruning based on kernel alignment for spectral clustering. Pattern Recognit. Lett. 70: 8-16 (2016) - [c36]Iván De La Pava, Juan Mejía, Andrés Álvarez-Meza, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez, Óscar Alberto Henao:
A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. CIARP 2016: 125-133 - [c35]Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, David Insuasti-Ceballos, Thierry Bouwmans, Germán Castellanos-Domínguez:
GMM Background Modeling Using Divergence-Based Weight Updating. CIARP 2016: 282-290 - [c34]Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, L. G. Melo-Betancourt, S. Ramos-Bermudez, Germán Castellanos-Domínguez:
A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players. CIARP 2016: 309-317 - [c33]Cristian A. Torres-Valencia, J. A. Hernández-Muriel, Wilson González-Vanegas, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez, Mauricio A. Álvarez:
Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. CIARP 2016: 443-450 - 2015
- [j4]Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez:
Time-series discrimination using feature relevance analysis in motor imagery classification. Neurocomputing 151: 122-129 (2015) - [j3]Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M. E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke:
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - [c32]Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Natalia Gaviria-Gómez, Germán Castellanos-Domínguez:
Kernel-Based Feature Relevance Analysis for ECG Beat Classification. IbPRIA 2015: 291-299 - [c31]Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks. IbPRIA 2015: 354-361 - [c30]Juan David Martínez-Vargas, Cristian Castro Hoyos, Jairo Jose Espinosa-Oviedo, A. M. Álvarez-Mesa, Germán Castellanos-Domínguez:
Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information. IbPRIA 2015: 452-459 - [c29]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities. IWINAC (1) 2015: 439-448 - 2014
- [c28]Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings. CIARP 2014: 247-254 - [c27]Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina, Germán Castellanos-Domínguez:
Spectral Clustering Using Compactly Supported Graph Building. CIARP 2014: 327-334 - [c26]Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Unsupervised Kernel Function Building Using Maximization of Information Potential Variability. CIARP 2014: 335-342 - [c25]David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Kernel-Based Image Representation for Brain MRI Discrimination. CIARP 2014: 343-350 - [c24]Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering. CIARP 2014: 351-358 - [c23]Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés Eduardo Castro-Ospina, Mauricio A. Álvarez, Germán Castellanos-Domínguez:
Tensor-product kernel-based representation encoding joint MRI view similarity. EMBC 2014: 3897-3900 - [c22]Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe:
Functional relevant multichannel kernel adaptive filter for human activity analysis. ICASSP 2014: 4369-4373 - [c21]Andrés Marino Álvarez-Meza, Santiago Molina-Giraldo, Germán Castellanos-Domínguez:
Correntropy-Based Adaptive Learning to Support Video Surveillance Systems. ICPR 2014: 2590-2595 - [c20]David Cárdenas-Peña, Mauricio Orbes-Arteaga, Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. ICPR 2014: 3203-3208 - [c19]Juan David Martínez-Vargas, Cristian Castro Hoyos, Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints. ICPR 2014: 3469-3474 - 2013
- [j2]Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
Video analysis based on Multi-Kernel Representation with automatic parameter choice. Neurocomputing 100: 117-126 (2013) - [c18]Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Automatic Graph Building Approach for Spectral Clustering. CIARP (1) 2013: 190-197 - [c17]Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Kernel Spectral Clustering for Dynamic Data. CIARP (1) 2013: 238-245 - [c16]Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis. CIARP (2) 2013: 495-502 - [c15]Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez:
Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems. EMBC 2013: 7068-7071 - [c14]Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
Automatic Singular Spectrum Analysis for Time-Series Decomposition. ESANN 2013 - [c13]Santiago Molina-Giraldo, Andrés Marino Álvarez-Meza, Julio C. García-Álvarez, César Germán Castellanos-Domínguez:
Video Segmentation Framework by Dynamic Background Modelling. ICIAP (1) 2013: 843-852 - [c12]Santiago Molina-Giraldo, Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Video Segmentation Framework Based on Multi-kernel Representations and Feature Relevance Analysis for Object Classification. ICPRAM (Selected Papers) 2013: 273-283 - [c11]Santiago Molina-Giraldo, Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification. ICPRAM 2013: 396-401 - [c10]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis. IWINAC (2) 2013: 365-374 - 2012
- [c9]Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
Human Activity Recognition by Class Label LLE. CIARP 2012: 260-267 - [c8]Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Feature Selection by Relevance Analysis for Abandoned Object Classification. CIARP 2012: 837-844 - [c7]Lina María Sepúlveda-Cano, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Training using short-time features for OSA discrimination. EMBC 2012: 9-12 - [c6]Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez:
Biomedical Data Analysis by Supervised Manifold Learning. EMBC 2012: 41-44 - [c5]Santiago Molina-Giraldo, Andrés Marino Álvarez-Meza, Diego Hernán Peluffo-Ordóñez, Germán Castellanos-Domínguez:
Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis. IBERAMIA 2012: 501-510 - 2011
- [j1]Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez:
Global and local choice of the number of nearest neighbors in locally linear embedding. Pattern Recognit. Lett. 32(16): 2171-2177 (2011) - [c4]Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
Image Synthesis Based on Manifold Learning. CAIP (2) 2011: 405-412 - [c3]Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, César Germán Castellanos-Domínguez:
Multiple Manifold Learning by Nonlinear Dimensionality Reduction. CIARP 2011: 206-213 - [c2]Juan Rafael Orozco-Arroyave, S. Murillo Rendón, Andrés Marino Álvarez-Meza, Julián D. Arias-Londoño, Edilson Delgado-Trejos, Jesús Francisco Vargas-Bonilla, César Germán Castellanos-Domínguez:
Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection. INTERSPEECH 2011: 529-532
2000 – 2009
- 2009
- [c1]Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez:
Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding. CIARP 2009: 77-84
Coauthor Index
David Cárdenas-Peña
aka: David Augusto Cárdenas-Peña
aka: David Augusto Cárdenas-Peña
Germán Castellanos-Domínguez
aka: César Germán Castellanos-Domínguez
aka: César Germán Castellanos-Domínguez
[j33] [j32] [j30] [j29] [j28] [j27] [j25] [c68] [j24] [j22] [j20] [j18] [j17] [j16] [j14] [j12] [c67] [j9] [c62] [c59] [c56] [j7] [c38] [c37] [j6] [j5] [c35] [c34] [j4] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j2] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c2] [c1]
Álvaro-Ángel Orozco-Gutierrez
aka: Álvaro Ángel Orozco-Guitiérrez
aka: Álvaro Ángel Orozco
aka: Álvaro Á. Orozco
aka: Álvaro Orozco
aka: Álvaro Ángel Orozco-Guitiérrez
aka: Álvaro Ángel Orozco
aka: Álvaro Á. Orozco
aka: Álvaro Orozco
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