Visualitzant per matèria "Deep learning"
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Cognitive impairment detection based on frontal camera scene while performing handwriting tasks
(Cognitive Computation. 2024;16:1004-1021, 2024)Diagnosing cognitive impairment is an ongoing field of research especially in the elderly. Assessing the health status of the elderly can be a complex process that requires both subjective and objective ... -
Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset
(Frontiers in Neuroinformatics. 2022;(16):877139, 2022)Parkinson’s disease dysgraphia (PDYS), one of the earliest signs of Parkinson’s disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive ... -
Improving resilience of sensors in planetary exploration using data-driven models
(Machine Learning: Science and Technology. 2023 Set 4;4:035041, 2023-09-04)Improving the resilience of sensor systems in space exploration is a key objective since the environmental conditions to which they are exposed are very harsh. For example, it is known that the presence ... -
On the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment
(Neural Computing and Applications. 2020;32:15761–15769, 2018-05-08)Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this ...