In recent years, there has been a growing scientific interest in the study of effective methods
for the early diagnosis of Alzheimer's disease. In this area, it is generally agreed that …

Alzheimer's disease (AD) is a progressive, incurable condition leading to decline of nerve
cells and cognitive functions over time. Early detection is essential for improving quality of …

Training complex models on Alzheimer's Disease (AD) datasets is challenging due to the
costly process of extracting features from a wide range of patient tasks. Develo** high …

Nowadays there is an increase in the global incidence of dementia, with over 55 million
reported cases worldwide. In Italy, the number is estimated to exceed 1 million individuals …

There are concerns within the medical/scientific community about the use of machine
learning models for disease diagnosis from medical images. The causes are related not only …

This paper proposes an improvement to the data augmentation technique, Random Hybrid
Stroke (RHS), widely used in handwriting analysis for the early detection of dementia. This …

The smartphone is an excellent source of data. Sensor values can be extrapolated from the
smartphone. This work exploits Human Activity Recognition (HAR) models and techniques …

Alzheimer's disease is a progressive brain condition defined by the loss of cognitive
functions. Affected individuals exhibit poor motor coordination, which compromises their …