David Cárdenas-Peña
Orcid: 0000-0002-0522-8683Affiliations:
- National University of Colombia, Signal Processing and Recognition Group, Manizales
According to our database1,
David Cárdenas-Peña
authored at least 47 papers
between 2012 and 2023.
Collaborative distances:
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Bibliography
2023
Sensors, April, 2023
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
Sensors, March, 2023
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
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
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021
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
Comput., 2020
Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.
Int. J. Neural Syst., 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition.
Proceedings of the Understanding the Brain Function and Emotions, 2019
Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification.
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
Eng. Appl. Artif. Intell., 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 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
2017
MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
2016
Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis.
Comput. Math. Methods Medicine, 2016
2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015
Proceedings of the Artificial Computation in Biology and Medicine, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 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
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Unsupervised Kernel Function Building Using Maximization of Information Potential Variability.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano.
Comput. Geosci., 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
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