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Machine Learning Based Moored Ship Movement Prediction
(MDPI, 2021)
[Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ...
Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features
(M D P I AG, 2018-09-12)
[Abstract] Depression and cognitive impairment are intimately associated, especially in elderly people. However, the association between late-life depression (LLD) and mild cognitive impairment (MCI) is complex and currently ...
Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques
(2019)
[Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ...
Random Forest-Based Prediction of Stroke Outcome
(Nature Research, 2021)
[Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ...
Diffusion tensor imaging in orthostatic tremor: a tract‐based spatial statistics study
(John Wiley & Sons Ltd., 2019-10-06)
[Abstract]
Objective
The pathogenesis of orthostatic tremor (OT) is unknown. We investigated OT‐related white matter changes and their correlations with scores from a neuropsychological testing battery.
Methods
Diffusion ...
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
(2020)
[Abstract]: This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ ...
Artificial glial cells in artificial neuronal networks: a systematic review
(Springer Nature, 2023-11)
[Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated ...
White matter microstructural changes are related to cognitive dysfunction in essential tremor
(Nature Research, 2017-06-07)
[Abstract]: Diffusion tensor imaging (DTI) studies have detected white matter microstructural changes in essential tremor (ET). However, it is still unclear whether these changes are related to cognitive deficits, which ...