Details
Name
Paulo TelesCluster
Computer ScienceRole
Senior ResearcherSince
01st January 2014
Nationality
PortugalCentre
Artificial Intelligence and Decision SupportContacts
+351220402963
paulo.teles@inesctec.pt
2023
Authors
D'Urso, P; De Giovanni, L; Maharaj, EA; Brito, P; Teles, P;
Publication
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Abstract
We investigate the fuzzy clustering of interval time series using wavelet variances and covariances; in particular, we use a fuzzy c-medoids clustering algorithm. Traditional hierarchical and non-hierarchical clustering methods lead to the identification of mutually exclusive clusters whereas fuzzy clustering methods enable the identification of overlapping clusters, implying that one or more series could belong to more than one cluster simultaneously. An interval time series (ITS) which arises when interval-valued observa-tions are recorded over time is able to capture the variability of values within each interval at each time point. This is in contrast to single-point information available in a classical time series. Our main contribution is that by combining wavelet analysis, interval data analysis and fuzzy clustering, we are able to capture information which would otherwise have not been contemplated by the use of traditional crisp clustering methods on classical time series for which just a single value is recorded at each time point. Through simulation studies, we show that under some circumstances fuzzy c-medoids clustering performs better when applied to ITS than when it is applied to the corresponding traditional time series. Applications to exchange rates ITS and sea-level ITS show that the fuzzy clustering method reveals different and more meaningful results than when applied to associated single-point time series.
2022
Authors
Ribeiro, OMPL; de Lima Trindade, L; Novo, AFMP; da Rocha, CG; Sousa, CN; Teles, PJFC; da Silva Reis, ACR; Perondi, AR; Andrigue, KCK; de Abreu Pereira, SC; da Silva Leite, PC; Ventura Silva, JMA;
Publication
Healthcare (Switzerland)
Abstract
2022
Authors
Salles, AAd; Silva, ME; Teles, P;
Publication
Open Journal of Business and Management
Abstract
2022
Authors
Faria, ADA; Martins, MM; Ribeiro, OMPL; Ventura-Silva, JMA; Teles, PJFC; Laredo-Aguilera, JA;
Publication
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Abstract
(1) Background: Unadjusted lifestyles have been the main cause of risk for the loss of years of healthy life. However, currently valid and reliable instruments to assess the lifestyles of the elderly are quite long and difficult to interpret. For this reason, the objective of this study was to adapt and validate the 'Individual Lifestyle Profile' (ILP) scale in a sample of elderly people; (2) Methods: A methodological study was carried out and a sample of 300 older adults enrolled in a Health Unit located in the North of Portugal was used, who responded to the scale. We examined internal consistency, predictive validity, and discriminative ability; (3) Results: After the Exploratory Factorial analysis, a solution was found with four factors that explain a variance of 67.8%. The designation of the factors was changed from the original scale, with the exception of one dimension, and they were called Health Self-management, Social Participation and Group Interaction, Citizenship and Physical Activity. The total internal consistency (Cronbach's alpha) was 0.858, ranging from 0.666 to 0.860 in the mentioned factors; (4) Conclusions: The ILP scale proved to be easy to apply and presented a good reliability and validity index, based on internal consistency, AFE and AFC. The scale allows evaluating the lifestyle of older adults, and its use will be aimed at modifying behaviors associated with negative lifestyles of older adults and their individual needs.
2022
Authors
Dias, MDJ; Faria, ADA; Ferreira, MSM; Faleiros, F; Novo, A; Goncalves, MN; da Rocha, CG; Teles, PJFC; Ribeiro, MP; da Silva, JMAV; Ribeiro, OMPL;
Publication
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Abstract
Supervised Thesis
2022
Author
Marta Sofia Pinheiro Carneiro
Institution
UP-FEP
2022
Author
Alexandra Sousa Pinto
Institution
UP-FEP
2022
Author
Ana Luísa Barbosa Moreira Torres
Institution
UP-FEP
2022
Author
Mariana da Costa Lopes de Carvalho
Institution
UP-FEP
2021
Author
Roberto Manuel Soares Vieira Konagaya Martins
Institution
UP-FEP
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