David Cárdenas-Peña

发表

Supervised kernel approach for automated learning using General Stochastic Networks

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2018, Eng. Appl. Artif. Intell..

Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images

Germán Castellanos-Domínguez, David Cárdenas-Peña, Daniel G. García-Murillo, 2019, CIARP.

Information-Based Cost Function for a Bayesian MRI Segmentation Framework

Germán Castellanos-Domínguez, David Cárdenas-Peña, Álvaro Orozco, 2015, ICIAP.

Tensor-product kernel-based representation encoding joint MRI view similarity

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Adaptive Bayesian label fusion using kernel-based similarity metrics in hippocampus segmentation

David Cárdenas-Peña, Andres Tobar-Rodríguez, German Castellanos-Dominguez, 2019, Journal of medical imaging.

Local binary fitting energy solution by graph cuts for MRI segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Juan David Martínez-Vargas, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification

Germán Castellanos-Domínguez, David Cárdenas-Peña, Carlos Daniel Acosta-Medina, 2019, BI.

Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio Orbes-Arteaga, 2015, IWINAC.

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis

Germán Castellanos-Domínguez, David Cárdenas-Peña, D. F. Collazos-Huertas, 2016, Comput. Math. Methods Medicine.

Kernel-based Atlas Image Selection for brain tissue segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio Orbes-Arteaga, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Influence of anisotropic white matter modeling on EEG source localization

Germán Castellanos-Domínguez, David Cárdenas-Peña, E. Cuartas-Morales, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, CIARP.

A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis

Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Mauricio A. Álvarez, 2020, Applied Sciences.

Multi-atlas label fusion by using supervised local weighting for brain image segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Eduardo Fernández, 2017 .

Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks

Germán Castellanos-Domínguez, David Cárdenas-Peña, David Luna-Naranjo, 2018, IWAIPR.

Kernel-Based Image Representation for Brain MRI Discrimination

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2014, CIARP.

Detecting EEG Dynamic Changes Using Supervised Temporal Patterns

Germán Castellanos-Domínguez, David Cárdenas-Peña, Luisa F. Velásquez-Martínez, 2018, IWAIPR.

Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis

David Cárdenas-Peña, German Castellanos-Dominguez, Diego Collazos-Huertas, 2017, Front. Neurosci..

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition

Germán Castellanos-Domínguez, David Cárdenas-Peña, Diego Collazos-Huertas, 2019, IWINAC.

Waterpixels

David Cárdenas-Peña, Etienne Decencière, Matthieu Faessel, 2015, IEEE Transactions on Image Processing.

Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers

Germán Castellanos-Domínguez, David Cárdenas-Peña, Diego Collazos-Huertas, 2018, CIARP.

EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems

Germán Castellanos-Domínguez, David Cárdenas-Peña, David Luna-Naranjo, 2018, CIARP.

MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis

Germán Castellanos-Domínguez, David Cárdenas-Peña, D. F. Collazos-Huertas, 2017, IWINAC.

Unsupervised Kernel Function Building Using Maximization of Information Potential Variability

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2014, CIARP.

Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks

Germán Castellanos-Domínguez, David Cárdenas-Peña, Camilo López-Montes, 2019, CIARP.

Extraction of stationary components in biosignal discrimination

Germán Castellanos-Domínguez, David Cárdenas-Peña, Juan David Martínez-Vargas, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease

Germán Castellanos-Domínguez, David Cárdenas-Peña, D. F. Collazos-Huertas, 2019, Int. J. Neural Syst..

Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces

Germán Castellanos-Domínguez, David Cárdenas-Peña, Luisa F. Velásquez-Martínez, 2018, IWAIPR.

Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks

Germán Castellanos-Domínguez, David Cárdenas-Peña, Camilo López-Montes, 2018, IWAIPR.

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2014, 2014 22nd International Conference on Pattern Recognition.

Functional Protein Prediction Using HMM Based Feature Representation and Relevance Analysis

Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, David Cárdenas-Peña, 2014 .

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, IbPRIA.

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, ICIAP.

Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio Orozco-Alzate, 2013, Comput. Geosci..

HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves

David Cárdenas-Peña, Julián D. Echeverry-Correa, Álvaro Orozco, 2019, IWINAC.

Extraction of Stationary Spectral Components Using Stochastic Variability

Germán Castellanos-Domínguez, David Cárdenas-Peña, Juan David Martínez-Vargas, 2012, CIARP.

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

Vladimir Fonov, Pierrick Coupé, Andrés Marino Álvarez-Meza, 2015, NeuroImage.

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning

Germán Castellanos-Domínguez, David Cárdenas-Peña, Diego Collazos-Huertas, 2018, IWAIPR.

Kernel-Based Phase Transfer Entropy with Enhanced Feature Relevance Analysis for Brain Computer Interfaces

David Cárdenas-Peña, Iván De La Pava Panche, Andrés Álvarez-Meza, 2021, Applied Sciences.

Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression

David Cárdenas-Peña, Alvaro A. Orozco-Gutierrez, Julián D. Pastrana-Cortes, 2021, IWAIPR.

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

Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés F. Valencia-Duque, 2021, Sensors.