Germán Castellanos-Domínguez

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 92

Top Venues

Publications

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) (2023)
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) (2023)
J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, J. M. Ferrández-Vicente
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100 (2023)
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) (2023)
Mateo Tobón-Henao, Andres Álvarez-Meza, Germán Castellanos-Domínguez
Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills. Sensors 22 (15) (2022)
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 (2021)
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) (2021)
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 (2021)
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) (2021)
Julian Caicedo-Acosta, German A. Castaño, Carlos Daniel Acosta-Medina, Andres Álvarez-Meza, Germán Castellanos-Domínguez
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators. Sensors 21 (6) (2021)
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) (2021)
Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez
A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach. Pattern Recognit. Lett. 129 (2020)
Luisa Fernanda Velásquez-Martínez, Julian Caicedo-Acosta, Germán Castellanos-Domínguez
Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns. Entropy 22 (6) (2020)
Daniel Guillermo García-Murillo, Julian Caicedo-Acosta, Germán Castellanos-Domínguez
Individual Detection of Citrus and Avocado Trees Using Extended Maxima Transform Summation on Digital Surface Models. Remote. Sens. 12 (10) (2020)
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) (2020)
Yohan Ricardo Céspedes Villar, Juan David Martínez-Vargas, Germán Castellanos-Domínguez
Influence of Patient-Specific Head Modeling on EEG Source Imaging. Comput. Math. Methods Medicine 2020 (2020)
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) (2020)
Jorge Andrés Gómez García, Laureano Moro-Velázquez, Janaina Mendes-Laureano, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente
Emulating the perceptual capabilities of a human evaluator to map the GRB scale for the assessment of voice disorders. Eng. Appl. Artif. Intell. 82 (2019)
Jorge I. Padilla-Buritica, Juana Valeria Hurtado-Rincón, Germán Castellanos-Domínguez
Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks. Biomed. Signal Process. Control. 52 (2019)
Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease. Int. J. Neural Syst. 29 (2) (2019)
Julian Caicedo-Acosta, David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Jorge I. Padilla-Buritica, Germán Castaño Duque, Germán Castellanos-Domínguez
Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. IWINAC (1) (2019)
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)
Sergio García-Vega, Germán Castellanos-Domínguez
Similarity preservation in dimensionality reduction using a kernel-based cost function. Pattern Recognit. Lett. 125 (2019)
Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, Jorge I. Padilla-Buritica, José Manuel Ferrández de Vicente, Germán Castellanos-Domínguez
Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications. IWINAC (1) (2019)
Luisa Fernanda Velásquez-Martínez, L. F. Arteaga-Daza, Germán Castellanos-Domínguez
Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis. BI (2019)
Camilo López-Montes, David Cárdenas-Peña, Germán Castellanos-Domínguez
Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks. CIARP (2019)
Juan David Martínez-Vargas, Leonardo Duque-Muñoz, Jesús Francisco Vargas-Bonilla, José David López, Germán Castellanos-Domínguez
Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization. Int. J. Neural Syst. 29 (6) (2019)
Luisa Fernanda Velásquez-Martínez, David Luna-Naranjo, David Cárdenas-Peña, Carlos Daniel Acosta-Medina, German A. Castaño, Germán Castellanos-Domínguez
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification. BI (2019)
Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez
Time Series Prediction for Kernel-based Adaptive Filters Using Variable Bandwidth, Adaptive Learning-rate, and Dimensionality Reduction. ICASSP (2019)
Camilo López-Montes, David Cárdenas-Peña, Germán Castellanos-Domínguez
Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks. IWAIPR (2018)
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)
David Luna-Naranjo, Juana Valeria Hurtado-Rincón, David Cárdenas-Peña, V. H. Castro, Héctor Fabio Torres, Germán Castellanos-Domínguez
EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems. CIARP (2018)
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)
Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez
Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers. CIARP (2018)
Juana Valeria Hurtado-Rincón, Francia Restrepo, Jorge Ivan Padilla, Héctor Fabio Torres, Germán Castellanos-Domínguez
Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks. BI (2018)
José Francisco Ruiz-Muñoz, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate
Relative Minimum Distance Between Projected Bags for Improved Multiple Instance Classification. SISAP (2018)
Jose Alejandro Salazar-Castro, D. F. Peña-Unigarro, Cielo K. Basante-Villota, C. Ortega, Lilian Dayana Cruz-Cruz, Edgardo Javier Revelo-Fuelagán, X. P. Blanco-Valencia, Germán Castellanos-Domínguez, Diego Hernán Peluffo-Ordóñez
Generalized Low-Computational Cost Laplacian Eigenmaps. IDEAL (1) (2018)
Daniel Guillermo García-Murillo, David Cárdenas-Peña, Germán Castellanos-Domínguez
Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery. IWAIPR (2018)
Jorge Ivan Padilla-Buriticá, Héctor Fabio Torres, Ernesto Pereda, A. Correa, Germán Castellanos-Domínguez
Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis. BI (2018)
Pablo Andrés Muñoz-Gutiérrez, Juan David Martínez-Vargas, Sergio García-Vega, Eduardo Giraldo, Germán Castellanos-Domínguez
EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints. BI (2018)
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)
Juan David Martínez-Vargas, D. A. Nieto-Mora, Pablo Andrés Muñoz-Gutiérrez, Y. R. Céspedes-Villar, Eduardo Giraldo, Germán Castellanos-Domínguez
Assessment of Source Connectivity for Emotional States Discrimination. BI (2018)
Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Germán Castellanos-Domínguez
Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning. IWAIPR (2018)
Ernesto Cuartas-Morales, Yohan Ricardo Céspedes Villar, Héctor Fabio Torres Cardona, Carlos Daniel Acosta, Germán Castellanos-Domínguez
Influence of Realistic Head Modeling on EEG Forward Problem. BI (2018)
Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, David Cárdenas-Peña, Germán Castellanos-Domínguez
Detecting EEG Dynamic Changes Using Supervised Temporal Patterns. IWAIPR (2018)
Ernesto Cuartas-Morales, Yohan Ricardo Céspedes Villar, Carlos Daniel Acosta, Germán Castellanos-Domínguez
Forward Modelling Complexity Influence in EEG Source Localization Using Real EEG Data. CIARP (2018)
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 (2018)
David Luna-Naranjo, David Cárdenas-Peña, Germán Castellanos-Domínguez
Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks. IWAIPR (2018)
Julian Caicedo-Acosta, Luisa Fernanda Velásquez-Martínez, David Cárdenas-Peña, Germán Castellanos-Domínguez
Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces. IWAIPR (2018)
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)
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 (2017)
Fily Mateos Grisales-Franco, J. M. Medina-Salcedo, D. M. Ovalle-Martínez, Juan David Martínez-Vargas, Daniel Guillermo García-Murillo, Germán Castellanos-Domínguez
EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker. IWINAC (1) (2017)
Juan David Martínez-Vargas, José David López, Felipe Rendón-Castrillón, Gregor Strobbe, Pieter van Mierlo, Germán Castellanos-Domínguez, Diana Ovalle-Martínez
Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models. IWINAC (1) (2017)
E. Cuartas-Morales, Angel Torrado-Carvajal, Juan Antonio Hernández Tamames, Norberto Malpica, Germán Castellanos-Domínguez
Influence of Anisotropic Blood Vessels Modeling on EEG Source Localization. IWINAC (1) (2017)
Jorge Ivan Padilla-Buriticá, Juan David Martínez-Vargas, A. Suárez-Ruiz, José Manuel Ferrández, Germán Castellanos-Domínguez
Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis. IWINAC (2) (2017)
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)
Leonardo Duque-Muñoz, Juan David Martínez-Vargas, Germán Castellanos-Domínguez, Jesús Francisco Vargas-Bonilla, José David López
Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data. IWINAC (1) (2017)
Diego Fabian Collazos-Huertas, A. Tobar-Rodriguez, David Cárdenas-Peña, Germán Castellanos-Domínguez
MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis. IWINAC (1) (2017)
Oscar Cardona-Morales, Germán Castellanos-Domínguez
Order Tracking by Square-Root Cubature Kalman Filter with Constraints. MCPR (2016)
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 (2016)
David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Germán Castellanos-Domínguez
Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis. Comput. Math. Methods Medicine 2016 (2016)
Sergio García-Vega, Germán Castellanos-Domínguez, Michel Verleysen, John Aldo Lee
Multi-step-ahead forecasting using kernel adaptive filtering. IJCNN (2016)
E. Giraldo-Suárez, Juan David Martínez-Vargas, Germán Castellanos-Domínguez
Reconstruction of Neural Activity from EEG Data Using Dynamic Spatiotemporal Constraints. Int. J. Neural Syst. 26 (7) (2016)
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)
Fernando Martínez Tabares, Yasel J. Costa Salas, David Cuesta-Frau, Germán Castellanos-Domínguez
Multiobjective Design of Wearable Sensor Systems for Electrocardiogram Monitoring. J. Sensors 2016 (2016)
Andrés Marino Álvarez-Meza, Santiago Molina-Giraldo, Germán Castellanos-Domínguez
Background modeling using Object-based Selective Updating and Correntropy adaptation. Image Vis. Comput. 45 (2016)
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)
Alexander Sepúlveda-Sepúlveda, Germán Castellanos-Domínguez
Assessment of the Relation Between Low-Frequency Features and Velum Opening by Using Real Articulatory Data. SPECOM (2016)
José Francisco Ruiz-Muñoz, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate
Enhancing the dissimilarity-based classification of birdsong recordings. Ecol. Informatics 33 (2016)
Juana Valeria Hurtado-Rincón, Juan David Martínez-Vargas, Sebastian Rojas-Jaramillo, Eduardo Giraldo, Germán Castellanos-Domínguez
Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach. BIH (2016)
Jorge I. Padilla-Buritica, Juan David Martínez-Vargas, Germán Castellanos-Domínguez
Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity. Frontiers Comput. Neurosci. 10 (2016)
David Cárdenas-Peña, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Information-Based Cost Function for a Bayesian MRI Segmentation Framework. ICIAP (1) (2015)
E. Giraldo-Suárez, Germán Castellanos-Domínguez
Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution. IWINAC (1) (2015)
Jorge I. Padilla-Buritica, E. Giraldo-Suárez, Germán Castellanos-Domínguez
Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints. IWINAC (1) (2015)
Jorge Alberto Jaramillo-Garzón, Jacobo Castro-Ceballos, Germán Castellanos-Domínguez
Predicting Sub-cellular Location of Proteins Based on Hierarchical Clustering and Hidden Markov Models. IWBBIO (2) (2015)
Juan David Martínez-Vargas, Fily Mateos Grisales-Franco, Germán Castellanos-Domínguez
Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints. IWINAC (1) (2015)
Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente, Germán Castellanos-Domínguez
Automatic age detection in normal and pathological voice. INTERSPEECH (2015)
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks. IbPRIA (2015)
José Francisco Ruiz-Muñoz, Mauricio Orozco-Alzate, Germán Castellanos-Domínguez
Multiple Instance Learning-Based Birdsong Classification Using Unsupervised Recording Segmentation. IJCAI (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP (2015)
Leonardo Duque-Muñoz, Ruben-Dario Pinzon-Morales, Germán Castellanos-Domínguez
EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform. IWINAC (1) (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA (2015)
Juan David Martínez-Vargas, Cristian Castro Hoyos, J. J. Espinosa-Oviedo, A. M. Álvarez-Mesa, Germán Castellanos-Domínguez
Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information. IbPRIA (2015)
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)
Karol Lina López Bedoya, Christian Gagné, Germán Castellanos-Domínguez, Mauricio Orozco-Alzate
Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification. Neurocomputing 156 (2015)
David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez
Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric. IWINAC (1) (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) (2015)
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)
Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez
Time-series discrimination using feature relevance analysis in motor imagery classification. Neurocomputing 151 (2015)
E. Cuartas-Morales, Carlos Daniel Acosta, Germán Castellanos-Domínguez
iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem. IWINAC (1) (2015)
Sebastián Castaño-Candamil, Johannes Höhne, Juan David Martínez-Vargas, Xing-Wei An, Germán Castellanos-Domínguez, Stefan Haufe
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage 118 (2015)
Fily Mateos Grisales-Franco, Jesús Francisco Vargas-Bonilla, Álvaro Ángel Orozco, Mauricio A. Álvarez, Germán Castellanos-Domínguez
Fall Detection Algorithm Based on Thresholds and Residual Events. CIARP (2015)
Diego Hernán Peluffo-Ordóñez, Santiago Murillo Rendón, Julián D. Arias-Londoño, Germán Castellanos-Domínguez
A multi-class extension for multi-labeler support vector machines. ESANN (2014)
E. Cuartas-Morales, David Cárdenas-Peña, Germán Castellanos-Domínguez
Influence of anisotropic white matter modeling on EEG source localization. EMBC (2014)
E. Cuartas-Morales, Hans Hallez, Bart Vanrumste, Germán Castellanos-Domínguez
Three-layer-isotropic skull conductivity representation in the EEG forward problem using spherical head models. EMBC (2014)
Diego Hernán Peluffo-Ordóñez, Carlos Alzate, Johan A. K. Suykens, Germán Castellanos-Domínguez
Optimal Data Projection for Kernel Spectral Clustering. ESANN (2014)
David Cárdenas-Peña, Mauricio Orbes-Arteaga, Germán Castellanos-Domínguez
Kernel-based Atlas Image Selection for brain tissue segmentation. EMBC (2014)
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering. CIARP (2014)
Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe
Functional relevant multichannel kernel adaptive filter for human activity analysis. ICASSP (2014)
Paola Castro-Cabrera, Mauricio Orozco-Alzate, Andrea Adami, Manuele Bicego, John Makario Londoño-Bonilla, Germán Castellanos-Domínguez
A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals. CIARP (2014)

Germán Castellanos-Domínguez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Germán Castellanos-Domínguez