JUAN MANUEL
GÓRRIZ SÁEZ
CATEDRÁTICO DE UNIVERSIDAD
Andres
Ortiz García
Andres Ortiz García-rekin lankidetzan egindako argitalpenak (70)
2024
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A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
International Journal of Neural Systems, Vol. 33, Núm. 4
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Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
Applied Soft Computing, Vol. 134
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Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441
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Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
International Journal of Neural Systems, Vol. 33, Núm. 4
2022
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Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Information Fusion, Vol. 89, pp. 53-65
2021
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Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy
Neurocomputing, Vol. 452, pp. 424-434
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Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
Information Fusion, Vol. 66, pp. 198-212
2020
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
Information Fusion, Vol. 58, pp. 153-167
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EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia
International Journal of Neural Systems, Vol. 30, Núm. 7
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Editorial: Deep Learning in Aging Neuroscience
Frontiers in Neuroinformatics
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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70