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Jorge Luis Victoria Barbosa

Biographic Data

ID1850358
NAMEJorge Luis Victoria Barbosa
GIVEN NAMESJorge Luis Victoria
FAMILY NAMEBarbosa
SIGNATUREBARBOSA J L V
AFFILIATIONSUniversidade do Vale do Rio dos Sinos
ORCID0000-0002-0358-2056
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Serapis: A generative AI model to produce social media intelligence for depression diagnosis

    Alexandre Augusto Foppa, Luan Paris Feijó et al.•ARTICLE•Behaviour and Information…•2026

    Depression affects millions worldwide, generating multidimensional burdens. Scalable and timely diagnosis remains challenging. This study presents Serapis, a computational model that assists mental health professionals by converting social media content into structured intelligence for depression diagnosis. The model integrates large language models (LLMs) with the Structured Personal Mental Health Ontology (SPMH), developed using principles from…

  • Machine learning applied to digital phenotyping: A systematic literature review and taxonomy

    Open Access•Marília Pit dos Santos, Wesllei Heckler et al.•ARTICLE•Computers in Human Behavior•2024

  • Problematic smartphone use on mental health: A systematic mapping study and taxonomy

    Gustavo Lazarotto Schroeder, Wesllei Heckler et al.•ARTICLE•Behaviour and Information…•2023

    Although many benefits emerge from the growing capabilities of smartphones, there are also concerns related to the long-term hyper-connected experience. Based on a systematic mapping method, this study investigates the primary factors of problematic smartphone use (PSU). Initially, this mapping considered ten academic databases, which allowed the analysis of 436 studies, and the creation of a taxonomy that categorises technology addiction topics …

  • Human behaviour data analysis and noncommunicable diseases: A systematic mapping study

    Lucas Pfeiffer Salomão Dias, Henrique Damasceno Vianna et al.•ARTICLE•Behaviour and Information…•2023

    Noncommunicable diseases (NCDs) or chronic diseases are responsible for 41 million deaths each year, equivalent to 71% of all worldwide deaths. Many technologies are used to aid the treatment of NCDs, and data analysis has been used as an approach to improve the understanding of human behaviour related to risk factors. This study aims to distinguish how human behaviour data analysis has been applied to support the treatment and prevention of NCDs…

  • Executive Functions, Motor Development, and Digital Games Applied to Elementary School Children: A Systematic Mapping Study

    Open Access•Victória Branca Moron, Débora Nice Ferrari Barbosa et al.•ARTICLE•Education Sciences•2022

    Studies show that executive functions and motor development are associated with each other and with learning ability. A more technological lifestyle combined with digital culture should be considered a viable alternative to stimulate children’s development. Therefore, this study aimed to present a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elemen…

  • Machine learning for suicidal ideation identification: A systematic literature review

    Open Access•Wesllei Heckler, Jorge Vaz De Carvalho et al.•ARTICLE•Computers in Human Behavior•2022

  • Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment

    Open Access•Paulo Ricardo Santos, Débora Nice Ferrari Barbosa et al.•ARTICLE•Education Sciences•2021

    The use of information communication technologies (ICT) in education brings up new possibilities of promoting learning and health experiences. In this sense, education contexts of the 21st century must consider these two areas of knowledge, especially their integration. This article presents learning practices developed with mobile devices and games in order to improve learning and well-being in children and adolescents undergoing cancer treatmen…

  • A Literature Review on Intelligent Services Applied to Distance Learning

    Open Access•Lidia Martins da Silva, Lucas Pfeiffer Salomão Dias et al.•ARTICLE•Education Sciences•2021

    Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. T…

  • A spontaneous social network based on mobile devices

    Open Access•Cristiano André da Costa, Dante Zaupa et al.•ARTICLE•Social Network Analysis and Mining•2014

No prominent works on this page.

  • A spontaneous social network based on mobile devices

    Open Access•Cristiano André da Costa, Dante Zaupa et al.•ARTICLE•Social Network Analysis and Mining•2014

  • Learning and Well-Being in Educational Practices with Children and Adolescents Undergoing Cancer Treatment

    Open Access•Paulo Ricardo Santos, Débora Nice Ferrari Barbosa et al.•ARTICLE•Education Sciences•2021

    The use of information communication technologies (ICT) in education brings up new possibilities of promoting learning and health experiences. In this sense, education contexts of the 21st century must consider these two areas of knowledge, especially their integration. This article presents learning practices developed with mobile devices and games in order to improve learning and well-being in children and adolescents undergoing cancer treatmen…

  • A Literature Review on Intelligent Services Applied to Distance Learning

    Open Access•Lidia Martins da Silva, Lucas Pfeiffer Salomão Dias et al.•ARTICLE•Education Sciences•2021

    Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. T…

  • Executive Functions, Motor Development, and Digital Games Applied to Elementary School Children: A Systematic Mapping Study

    Open Access•Victória Branca Moron, Débora Nice Ferrari Barbosa et al.•ARTICLE•Education Sciences•2022

    Studies show that executive functions and motor development are associated with each other and with learning ability. A more technological lifestyle combined with digital culture should be considered a viable alternative to stimulate children’s development. Therefore, this study aimed to present a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elemen…

  • Machine learning for suicidal ideation identification: A systematic literature review

    Open Access•Wesllei Heckler, Jorge Vaz De Carvalho et al.•ARTICLE•Computers in Human Behavior•2022

  • Problematic smartphone use on mental health: A systematic mapping study and taxonomy

    Gustavo Lazarotto Schroeder, Wesllei Heckler et al.•ARTICLE•Behaviour and Information…•2023

    Although many benefits emerge from the growing capabilities of smartphones, there are also concerns related to the long-term hyper-connected experience. Based on a systematic mapping method, this study investigates the primary factors of problematic smartphone use (PSU). Initially, this mapping considered ten academic databases, which allowed the analysis of 436 studies, and the creation of a taxonomy that categorises technology addiction topics …

  • Human behaviour data analysis and noncommunicable diseases: A systematic mapping study

    Lucas Pfeiffer Salomão Dias, Henrique Damasceno Vianna et al.•ARTICLE•Behaviour and Information…•2023

    Noncommunicable diseases (NCDs) or chronic diseases are responsible for 41 million deaths each year, equivalent to 71% of all worldwide deaths. Many technologies are used to aid the treatment of NCDs, and data analysis has been used as an approach to improve the understanding of human behaviour related to risk factors. This study aims to distinguish how human behaviour data analysis has been applied to support the treatment and prevention of NCDs…

  • Machine learning applied to digital phenotyping: A systematic literature review and taxonomy

    Open Access•Marília Pit dos Santos, Wesllei Heckler et al.•ARTICLE•Computers in Human Behavior•2024

  • Serapis: A generative AI model to produce social media intelligence for depression diagnosis

    Alexandre Augusto Foppa, Luan Paris Feijó et al.•ARTICLE•Behaviour and Information…•2026

    Depression affects millions worldwide, generating multidimensional burdens. Scalable and timely diagnosis remains challenging. This study presents Serapis, a computational model that assists mental health professionals by converting social media content into structured intelligence for depression diagnosis. The model integrates large language models (LLMs) with the Structured Personal Mental Health Ontology (SPMH), developed using principles from…

Computer Science (8 works) · Psychology (7 works) · Data science (5 works) · MEDLINE (4 works) · World Wide Web (4 works) · Applied Psychology (3 works) · Artificial Intelligence (3 works) · Child Development and Digital Technology (3 works) · Digital Mental Health Interventions (3 works) · Medicine (3 works)

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