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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 ...
Inclusive Web Empirical Studies in Remote and In-Situ Settings: A User Evaluation of the RemoTest Platform
(Taylor & Francis, 2019-04-21)
Web accessibility evaluation requires tests to be carried out with real users with disabilities performing real tasks or activities. To recruit an appropriate group of users and to observe their performance in the real ...
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 ...
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 ...
Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech
(MDPI, 2016-01)
In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an ...
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 ...
Evaluation of two virtual cursors for assisting web access to people with motor impairments
(Elsevier, 2019-08-02)
People with motor impairments (MI) may face accessibility barriers when using computers due to their health conditions and therefore need to use alternative devices to a standard mouse for pointing and clicking in graphical ...
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. ...