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About

Ramiro Gonçalves is an Associate Professor with Habilitation at University of Trás-os-Montes e Alto Douro, in Vila Real, Portugal, and a Senior Researcher at INESC TEC Associated Laboratory, Porto, Portugal. Ramiro is currently the Executive Director of the PhD degree in Informatics and has has several publications (including book chapters, Scientific Citation Index journal articles, as well as publications in refereed conference proceedings) in the field of Computer Science: Information Systems, e-business and accessibility web.

More detail in:

http://www.degois.pt/visualizador/curriculum.jsp?key=1816434909179886

Interest
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Details

Details

  • Name

    Ramiro Gonçalves
  • Cluster

    Computer Science
  • Role

    Research Coordinator
  • Since

    01st June 2012
002
Publications

2022

Multi-Agent-Based Recommender Systems: A Literature Review

Authors
Neto, J; Morais, AJ; Gonçalves, R; Coelho, AL;

Publication
Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021, London, UK, Volume 1

Abstract

2022

An Ontology for Fire Building Evacuation

Authors
Neto, J; Morais, AJ; Gonçalves, R; Coelho, AL;

Publication
Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021, London, Volume 3

Abstract

2022

A Review on MOEA and Metaheuristics for Feature-Selection

Authors
Coelho, D; Madureira, A; Pereira, I; Goncalves, R;

Publication
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021

Abstract
In the areas of machine-learning/big data, feature selection is normally regarded as a very important problem to be solved, as it directly impacts both data analysis and model creation. The problem of optimizing the selected features of a given dataset is not always trivial, however, throughout the years various ways to counter this optimization problem have been presented. This work presents how feature-selection fits in the larger context of multi-objective problems as well as a review of how both multi-objective evolutionary algorithms and metaheuristics are being used in order to solve feature selection problems. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

Non-invasive Individual Sensing System for Collecting Biometric Indicators

Authors
Monteiro, F; Martins, J; Goncalves, R; Branco, F;

Publication
MARKETING AND SMART TECHNOLOGIES, VOL 1

Abstract
The daily stress we, as population, are subjected has negative impacts on physical and mental health, making people age faster. With the increase in life expectancy, the population started to search for ways to ensure they reach the older ages with a healthier and better lifestyle, resulting in an increase of interest and demand for thermalism and wellness tourism. Although thermalism is recognized to have several benefits with regard to the combat and prevention of certain pathologies, this has not yet been fully proven. So, in this paper, we presented a sensing system, capable of not only recording thermalist’s biometric data, but also getting the data ready and prepared to be processed by any analytic tool with the aim of showing the impact that this sector has on the health of its practitioners.

2022

e-Marketing Influence on Rural Tourism Destination Sustainability: A Conceptual Approach

Authors
Rodrigues, S; Correia, RJ; Gonçalves, R; Branco, F; Martins, J;

Publication
Information Systems and Technologies - WorldCIST 2022, Volume 3, Budva, Montenegro, 12-14 April, 2022.

Abstract
As the demand for rural tourism destinations increases, the relevancy of the tourism sector to the overall destination sustainability becomes even more significant, and the existing tourism operators transition their marketing initiatives to a digital nature, it is critical to understand how the global quality of the implemented e-marketing initiatives are impacting rural destinations image and brand equity, how they trigger tourists’ intention to visit, and as a consequence foster overall destination sustainability. Hence, a novel conceptual model, drawn on Delone & McLean Information Systems Success model, Tan & Wu model on the relations between destination image and future visit behavior, and on the overall brand equity context presented by Verma, is proposed and the multiple implications on the presented artefact are discussed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Supervised
thesis

2021

Computer Vision algorithm for Determination of sulfonamides in water

Author
Inês Baptista da Rocha

Institution
UP-FCUP

2021

3D Lung Computed Tomography Synthesis using Generative Adversarial Networks

Author
Artur Manuel Pascoal Ferreira

Institution
UP-FCUP

2020

Metodologia para engenharia de software inclusiva out-of-the-box

Author
João de Sousa e Silva

Institution
UTAD

2020

Modelo de smart places confiável

Author
António José Morim Brandão

Institution
UTAD

2020

Digital marketing and technology adoption for Douro tourism development

Author
Filipa Margarida da Eira Jorge

Institution
UTAD