Diego Fabian Collazos-Huertas

Orcid: 0000-0002-0434-3444

According to our database1, Diego Fabian Collazos-Huertas authored at least 12 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.
Sensors, March, 2023

2021
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires.
Sensors, 2021

Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks.
Biomed. Signal Process. Control., 2021

2020
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.
Brain Informatics, 2020

2019
Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.
Int. J. Neural Syst., 2019

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition.
Proceedings of the Understanding the Brain Function and Emotions, 2019

2018
Supervised kernel approach for automated learning using General Stochastic Networks.
Eng. Appl. Artif. Intell., 2018

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers.
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
Kernel-Based Feature Relevance Analysis for ECG Beat Classification.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015


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