Search
Now showing items 1-9 of 9
A Hierarchical Machine Learning Solution for the Non-Invasive Diagnostic of Autonomic Dysreflexia
(MDPI, 2022-02-15)
More than half of patients with high spinal cord injury (SCI) suffer from episodes of autonomic dysreflexia (AD), a condition that can lead to lethal situations, such as cerebral haemorrhage, if not treated correctly. ...
Towards a standard methodology to evaluate internal cluster validity indices
(Elsevier, 2011-02-01)
The evaluation and comparison of internal cluster validity indices is a critical problem in the clustering area. The methodology used in most of the evaluations assumes that the clustering algorithms work correctly. We ...
PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability
(Elsevier, 2022-01)
[EN] The use of decision trees considerably improves the discriminating capacity of ensemble classifiers. However, this process results in the classifiers no longer being interpretable, although comprehensibility is a ...
A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
(Public Library Science, 2019-06-18)
A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated by a person who intends to perform any action. One of the most important issues of ...
Diagnostic classification of Parkinson’s disease based on non-motor manifestations and machine learning strategies
(Springer, 2023-03)
Non-motor manifestations of Parkinson’s disease (PD) appear early and have a significant impact on the quality of life of patients, but few studies have evaluated their predictive potential with machine learning algorithms. ...
Automatic detection of the mental state in responses towards relaxation
(Springer, 2023-03)
Nowadays, considering society’s highly demanding lifestyles, it is important to consider the usefulness of relaxation from the perspective of both psychology and clinical practice. The response towards relaxation (RResp) ...
Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles
(MDPI, 2019-01-02)
The monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming ...
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021-02-03)
Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ...
Characterization of e-Government adoption in Europe
(Plos One, 2020-04-17)
The digital divide in Europe has not yet been bridged and thus more contributions towards understanding the factors affecting the different dimensions involved are required. This research offers some insights into the topic ...