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JOSÉ LUIS
AYALA RODRIGO
Catedrático de universidad
Argitalpenak (158) JOSÉ LUIS AYALA RODRIGO argitalpenak
2024
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A data-driven approach to complement the A/T/(N) classification system using CSF biomarkers
CNS Neuroscience and Therapeutics, Vol. 30, Núm. 2
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Correction to: Genetic-based patient stratification in Alzheimer’s disease (Scientific Reports, (2024), 14, 1, (9970), 10.1038/s41598-024-60707-1)
Scientific Reports
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Deep Learning For Predicting Cerebral Metabolism Changes Along The Alzheimer’s Disease Continuum
Proceedings IMCIC - International Multi-Conference on Complexity, Informatics and Cybernetics
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Genetic-based patient stratification in Alzheimer’s disease
Scientific Reports, Vol. 14, Núm. 1
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Monitoring differences in the function of the autonomic nervous system in patients with chronic insomnia using a wearable device
Sleep Medicine, Vol. 115, pp. 122-130
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Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI
NeuroImage, Vol. 297
2023
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Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach
Psychiatry Research, Vol. 319
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HackRF + GNU Radio: A software-defined radio to teach communication theory
International Journal of Electrical Engineering and Education, Vol. 60, Núm. 1, pp. 23-40
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II Jornada «Aprendizaje Eficaz con TIC en la UCM»
koord.
Ediciones Complutense
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Unraveling brain fog in post-COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms
European Journal of Neurology
2022
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Body Complexion and Circulating Lipids in the Risk of TDP-43 Related Disorders
Frontiers in Aging Neuroscience, Vol. 14
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Cluster-Then-Classify Methodology for the Identification of Pain Episodes in Chronic Diseases
IEEE journal of biomedical and health informatics, Vol. 26, Núm. 5, pp. 2339-2350
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Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms
International Journal of Geriatric Psychiatry, Vol. 37, Núm. 2
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Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
Journal of Simulation, Vol. 16, Núm. 6, pp. 589-603
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Energy-aware task scheduling in data centers using an application signature
Computers and Electrical Engineering, Vol. 97
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GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
Medical and Biological Engineering and Computing, Vol. 60, Núm. 9, pp. 2737-2756
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Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging
Frontiers in Aging Neuroscience, Vol. 13
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Neuropsychological Predictors of Fatigue in Post-COVID Syndrome
Journal of Clinical Medicine, Vol. 11, Núm. 13
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On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
Scientific Reports, Vol. 12, Núm. 1
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Prediction of Delivery Within 7 Days After Diagnosis of Early Onset Preeclampsia Using Machine-Learning Models
Frontiers in Cardiovascular Medicine, Vol. 9