Juan Eloy Arco
Orcid: 0000-0002-5896-4975
According to our database1,
Juan Eloy Arco
authored at least 25 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data.
Int. J. Neural Syst., August, 2023
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.
Int. J. Neural Syst., April, 2023
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Int. J. Neural Syst., April, 2023
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.
Appl. Soft Comput., February, 2023
Uncertainty-driven ensembles of multi-scale deep architectures for image classification.
Inf. Fusion, 2023
2022
Int. J. Neural Syst., 2022
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Expert Syst. Appl., 2021
CoRR, 2021
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
2020
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.
Neuroinformatics, 2020
Neural representation of current and intended task sets during sequential judgements on human faces.
NeuroImage, 2020
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR, 2020
2017
NeuroImage, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Digital image analysis for automatic enumeration of malaria parasites using morphological operations.
Expert Syst. Appl., 2015