Search
Now showing items 21-30 of 32
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 ...
Longitudinal Study of Two Virtual Cursors for People With Motor Impairments: A Performance and Satisfaction Analysis on Web Navigation
(IEEE, 2020)
The lack of dexterity in the upper limbs of people with motor impairments may prevent the use of standard pointing devices, such as mice, to access graphical user interfaces. In these cases, pointing and clicking are usually ...
Changes in Day/Night Activity in the 6-OHDA-Induced Experimental Model of Parkinson’s Disease: Exploring Prodromal Biomarkers
(Frontiers Media, 2020-10-14)
The search for experimental models mimicking an early stage of Parkinson's disease (PD) before motor manifestations is fundamental in order to explore early signs and get a better prognosis. Interestingly, our previous ...
Optimisation of the user experience across-multi-screen media services.
(2020-04-03)
La evolución de los dispositivos conectados a Internet, ha provocado la transformación del sector
audiovisual en un ecosistema híbrido en el que el contenido se distribuye a través de múltiples
dispositivos. Este nuevo ...
Using publish/subscribe for message routing in mobile environments
(Springer, 2023-07)
Publish/subscribe is a mature communication paradigm to route and deliver events from publishers to interested subscribers. Initially conceived for large scale systems, e.g., the Internet, it has been used more recently ...
Benchmarking Object Detection Deep Learning Models in Embedded Devices
(MDPI, 2022)
Object detection is an essential capability for performing complex tasks in robotic applications. Today, deep learning (DL) approaches are the basis of state-of-the-art solutions in computer vision, where they provide very ...
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) ...
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 ...