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FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
(Elsevier, 2022)
[Abstract]: Facial biometrics play an essential role in the fields of law enforcement and forensic sciences. When comparing facial traits for human identification in photographs or videos, the analysis must account for ...
Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model
(MDPI, 2022)
[Abstract] In this paper, we illustrate that inaccurate knowledge can be efficiently implemented in a quantum environment. For this purpose, we analyse the correlation between certainty factors and quantum probability. We ...
Sustainable personalisation and explainability in Dyadic Data Systems
(2022)
[Abstract]: Systems that rely on dyadic data, which relate entities of two types together, have become ubiquitously used in fields such as media services, tourism business, e-commerce, and others. However, these systems ...
A computational system for the Heuristic Forecasting of Fire Risk
(International Institute of Informatics and Systemics, 2002-07)
This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of
meteorological variables so as to produce a fire weather risk index. The system also studies a set ...
Improving Medical Data Annotation Including Humans in the Machine Learning Loop
(MDPI, 2021)
[Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly ...
How Important Is Data Quality? Best Classifiers vs Best Features
(Elsevier, 2021)
[Abstract] The task of choosing the appropriate classifier for a given scenario is not an easy-to-solve question. First, there is an increasingly high number of algorithms available belonging to different families. And ...
A One-Class Classification method based on Expanded Non-Convex Hulls
(Elsevier, 2023)
[Abstract]: This paper presents an intuitive, robust and efficient One-Class Classification algorithm. The method developed is called OCENCH (One-class Classification via Expanded Non-Convex Hulls) and bases its operation ...
Computer-assisted analysis of polysomnographic recordings improves interscorer associated agreement and scoring times
(Public Library of Science, 2022-09)
[Abstract]: Study objectives To investigate inter-scorer agreement and scoring time differences associated with visual and computer-assisted analysis of polysomnographic (PSG) recordings. Methods A group of 12 expert scorers ...
Machine Learning Techniques to Predict Different Levels of Hospital Care of CoVid-19
(Springer, 2022)
[Abstract] In this study, we analyze the capability of several state of the art machine learning methods to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need different levels of hospital ...
An Agent-Based Model to Simulate the Spread of a Virus Based on Social Behavior and Containment Measures
(MDPI AG, 2020-08-20)
[Abstract]
COVID-19 has brought a new normality in society. However, to avoid the situation, the virus must be stopped. There are several ways in which the governments of the world have taken action, from small measures ...
