Browsing CiTIUS-Artigos by Title
Now showing items 1-20 of 175
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3D evaluation of mandibular skeletal changes in juvenile arthritis patients treated with a distraction splint: A retrospective follow-up
(E.H Angle Education and Research Foundation, 2016)Objective: To evaluate three-dimensional (3D) condylar and mandibular growth in patients with juvenile idiopathic arthritis (JIA) with unilateral temporomandibular joint involvement treated with a distraction splint. Materials ... -
Alignment of Hyperspectral Images Using KAZE Features
(MDPI, 2018)Image registration is a common operation in any type of image processing, specially in remote sensing images. Since the publication of the scale–invariant feature transform (SIFT) method, several algorithms based on feature ... -
An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information
(Elsevier, 2022)The explanatory capacity of interpretable fuzzy rule-based classifiers is usually limited to offering explanations for the predicted class only. A lack of potentially useful explanations for non-predicted alternatives can ... -
An Extended Semantic Interoperability Model for Distributed Electronic Health Record Based on Fuzzy Ontology Semantics
(MDPI, 2021)Semantic interoperability of distributed electronic health record (EHR) systems is a crucial problem for querying EHR and machine learning projects. The main contribution of this paper is to propose and implement a fuzzy ... -
An extensive experimental survey of regression methods
(Elsevier, 2019)Regression is a very relevant problem in machine learning, with many different available approaches. The current work presents a comparison of a large collection composed by 77 popular regression models which belong to 19 ... -
An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis
(IEEE, 2018)Diabetes is a serious chronic disease. The importance of clinical decision support systems (CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy, applicability, interpretability, and ... -
Analysing agreement among different evaluators in god class and feature envy detection
(IEEE, 2021)The automatic detection of Design Smells has evolved in parallel to the evolution of automatic refactoring tools. There was a huge rise in research activity regarding Design Smell detection from 2010 to the present. However, ... -
Analysis of high concentrator photovoltaic modules in outdoor conditions: Influence of direct normal irradiance, air temperature, and air mass
(AIP Publishing, 2014)The study of high concentrator photovoltaic (HCPV) technology under real conditions is essential to understand its real behavior. The influence of direct normal irradiance (DNI), air temperature (Tair), and air mass (AM) ... -
Analytical Model for Crosstalk in p-nwellPhotodiodes
(IEEE, 2015)The response and crosstalk (CTK) of the p-n well photodiode were studied through device simulations performed with ATLAS and experimental data. As a result, a closed-form and explicit 2-D analytical model for its photoresponse ... -
Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2014)Este artículo describe una suite de módulos lingüísticos para el castellano, basado en una arquitectura en tuberías, que incluye tareas de análisis morfosintáctico así como de reconocimiento y clasificación de entidades ... -
Aplicaciones de la teoria de conjuntos borrosos
(Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico, 2005-01) -
Application of Functional Data Analysis for the Prediction of Maximum Heart Rate
(IEEE, 2019)Maximum heart rate (MHR) is widely used in the prescription and monitoring of exercise intensity, and also as a criterion for the termination of sub-maximal aerobic fitness tests in clinical populations. Traditionally, ... -
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
(Elsevier, 2020)Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era ... -
Assessment, Design and Implementation of a Private Cloud for MapReduce Applications
(OALib, 2014)Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and Big Data ... -
Assisting Forensic Identification through Unsupervised Information Extraction of Free Text Autopsy Reports: The Disappearances Cases during the Brazilian Military Dictatorship
(MDPI, 2019)Anthropological, archaeological, and forensic studies situate enforced disappearance as a strategy associated with the Brazilian military dictatorship (1964–1985), leaving hundreds of persons without identity or cause of ... -
Automated description of the mandible shape by deep learning
(Springer, 2021)Purpose: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological information such as age, gender, and race ... -
Automatic decision support system based on SAR data for oil spill detection
(Elsevier, 2014-07-31)Global trade is mainly supported by maritime transport, which generates important pollution problems. Thus, effective surveillance and intervention means are necessary to ensure proper response to environmental emergencies. ... -
Automatic detection of pulmonary nodules: Evaluation of performance using two different MDCT scanners
(Sciedu Press, 2012)The purpose of this study was to evaluate the diagnostic performance of a computer-aided diagnosis (CAD) system, on the detection of pulmonary nodules in multidetector row computed tomography (MDCT) images, by using two ... -
Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing
(MDPI, 2020)Road extraction from Light Detection and Ranging (LiDAR) has become a hot topic over recent years. Nevertheless, it is still challenging to perform this task in a fully automatic way. Experiments are often carried out over ... -
Automatic generation of textual descriptions in data-to-text systems using a fuzzy temporal ontology: Application in air quality index data series
(Elsevier, 2022)In this paper we present a model based on computational intelligence and natural language generation for the automatic generation of textual summaries from numerical data series, aiming to provide insights which help users ...