Alonso, Hugo
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Último Nome
Alonso
Primeiro Nome
Hugo
Nome
Hugo Alonso
Biografia
Hugo Alonso Vilares Monteiro: Graduated in Mathematics Applied to Technology from the University of Porto in 2002, where he received an award for being the best graduating student in his field. He obtained his Ph.D. in Applied Mathematics from the same university in 2008. He has over 20 years of teaching experience and, in 2023, was honored with the Top Teacher Award. He is currently an Associate Professor at Portucalense University. His research interests include data science and related areas such as statistics, data mining, and machine learning, as well as dynamical systems analysis, identification, and control. He has authored more than 50 publications and has served as a reviewer for several international journals and conferences.
Identificadores
5515-E921-89CFProjetos de investigação
Unidades organizacionais
REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura.
Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture.
Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations:
- the understanding of local, national and international environment;
- the development of activities oriented to professional practice, namely in the business world.
4 resultados
Resultados da pesquisa
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Publicação Acesso Restrito A Principal Component Analysis for Ordinal Data2025-10-22 - Alonso, HugoComunicação apresentada no XXVII Congresso da Sociedade Portuguesa de Estatística.Publicação Acesso Aberto Tradução e Validação da Selfitis Behavior Scale para a População Portuguesa2025-12-18 - Monterroso, Lígia; Sá, Luís; Sousa, Claúdia; Alonso, Hugo; Silva, MafaldaEnquadramento: O uso excessivo das redes sociais entre os jovens pode desencadear comportamentos obsessivos, como a compulsão de tirar selfies Objetivo: Traduzir, adaptar culturalmente e validar a Selfitis Behavior Scale (Escala de Comportamento de Selfite - SBS) entre estudantes do ensino superior em Portugal. Metodologia: Estudo psicométrico no qual a SBS foi submetida a uma avaliação de validade aparente, análise de consistência interna, análise fatorial confirmatória, teste de invariância de medida, bem como avaliação de validade convergente e discriminante. Resultados: A análise fatorial confirmatória do modelo original de seis fatores revelou um ajuste adequado. A consistência interna global foi elevada (α de Cronbach e ω de McDonald = 0,94; CR = 0,97), com subescalas que variavam entre 0,79 e 0,89. Verificaram-se evidências de validade convergente e discriminante, bem como de invariância entre grupos com diferentes frequências de tirar selfies. Observaram-se diferenças estatisticamente significativas entre os grupos, com pontuações mais elevadas nos participantes que relataram tirar selfies com frequência. Conclusão: A versão portuguesa da SBS apresentou boas propriedades psicométricas, tendo-se revelado um instrumento válido e fiável para avaliar o comportamento de selfite em estudantes do ensino superior.Publicação Acesso Aberto Sodet-synthetic oversampling decision trees2026-04-19 - Costa, Joaquim Fernando Pinto da; Alonso, HugoIn this work, we present a novel methodology for decision trees that use oversampling, not before tree construction (in the entire dataset), but inside each internal node (and corresponding input space region) of the tree. This strategy proves to be successful in fighting the greedy nature of decision trees. We take also into consideration the nature of the input variables, not just quantitative or binary, and also introduce the use of novel distances between instances that can also be used in other contexts. The application of our methodology to a significant number of datasets, thirteen, both balanced and imbalanced problems, shows the relevance of our approach when compared to CART and C5.0. Although our experiments were conducted on a standard computing platform, the proposed approach is well suited for high-performance computing environments, since node-level oversampling and distance computations can be efficiently parallelized, enabling the method to scale to large and high-dimensional datasets.Publicação Acesso Aberto Psychometric Properties of the Portuguese Version of the Autotelic Personality Questionnaire2026-05-26 - Ferreira, Maria José; Sousa, Cláudia; Freire, Teresa; Alonso, Hugo; Fonte, CarlaFlow theory provides a comprehensive framework for understanding intrinsically rewarding experiences, yet individuals differ markedly in their propensity to experience flow across situations. To explain these differences, the construct of autotelic personality has been proposed, referring to a dispositional configuration of motivational and attentional characteristics that facilitate deep engagement in activities. The present study aimed to adapt and validate the Autotelic Personality Questionnaire (APQ) for the Portuguese context. A total of 915 Portuguese adults completed the Portuguese version of the APQ along with measures of dispositional flow, personality traits, positive mental health, and psychological distress. Confirmatory factor analyses did not support the original second-order structure; instead, a first-order model with seven correlated factors demonstrated adequate fit. Bifactor analyses indicated that the use of a global score was not justified, supporting a multidimensional interpretation of autotelic personality. The Portuguese APQ showed adequate to excellent reliability across all subscales and evidence of configural, metric, and scalar invariance across educational groups. Known-groups validity analyses revealed small but meaningful differences according to educational attainment. Convergent and divergent validity were supported through theoretically consistent associations with flow proneness, personality traits, well-being, and distress. Overall, the findings support the psychometric adequacy of the Portuguese APQ and reinforce the conceptualization of autotelic personality as a multidimensional motivational–attentional system, with implications for applied research in positive psychology.