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Jorge Luis Victória Barbosa

Researcher at Universidade do Vale do Rio dos Sinos

Publications -  346
Citations -  3584

Jorge Luis Victória Barbosa is an academic researcher from Universidade do Vale do Rio dos Sinos. The author has contributed to research in topics: Ubiquitous computing & Context (language use). The author has an hindex of 26, co-authored 309 publications receiving 2551 citations. Previous affiliations of Jorge Luis Victória Barbosa include University of Rio Grande & Universidade Católica de Pelotas.

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Smartalloc: a model based on machine learning for human resource allocation in projects

TL;DR: This article presents the Smartalloc model for human resource allocations in projects based on machine learning, which allows the choice of the strategic objective of the organization (cost, time or quality) in the definition of the resource allocation strategy.
Proceedings ArticleDOI

Exploring the social Internet of Things concept in a univeristy campus using NFC

TL;DR: The purpose of this article is to explore the concept of SIoT in a University Campus, offering direct communication between intelligent devices that share information based on an academic criteria and preferences informed by their owners.
Journal ArticleDOI

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

TL;DR: In this paper , a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elementary school children from 6 to 11 years old was presented.
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A Mapping Study on Mobile Games for Patients of Chronic Diseases

TL;DR: There is a growing interest of using technologies to propose solutions for healthcare issues, but the number of chronic conditions being addressed is still small, obesity and diabetes are prevalent, and the majority of games proposed by the articles encompass less than half of these features.
Journal ArticleDOI

Vulcont: A recommender system based on context history ontology

TL;DR: This work presents Vulcont, a recommender system based on a contexts history ontology that merges the benefits of ontology reasoning with contexts histories in order to measure contexts history similarity, based on semantic and ontology’'s properties provided by context’s domain.