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Sobre

Ramiro Gonçalves é Professor Associado com Agregação na Universidade de Trás-os-Montes e Alto Douro, em Vila Real, Portugal, e Investigador Sénior no INESC TEC Laboratório Associado, Porto, Portugal. Ramiro é atualmente Director do Doutoramento em Informática e tem várias publicações (incluindo capítulos de livros, artigos de revistas indexadas pelo Scientific Citation Index, bem como publicações em actas de conferências indexadas) no domínio da Informática: Sistemas de Informação, e-business e acessibilidade web.

Mais detalhe em:

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

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Ramiro Gonçalves
  • Cluster

    Informática
  • Cargo

    Investigador Coordenador
  • Desde

    01 junho 2012
002
Publicações

2022

Multi-Agent-Based Recommender Systems: A Literature Review

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

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

Abstract

2022

An Ontology for Fire Building Evacuation

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

Publicação
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

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

Publicação
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

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

Publicação
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.

2021

Digitally Monitoring Thermalism Health and Wellness Effects - A Conceptual Model Proposal

Autores
Martins, J; Moreira, F; Yong Oliveira, MA; Gonçalves, R; Branco, F;

Publicação
Trends and Applications in Information Systems and Technologies - Volume 4, WorldCIST 2021, Terceira Island, Azores, Portugal, 30 March - 2 April, 2021.

Abstract
As life expectancy grows and the population requirements for satisfactory health and wellness levels increases, there is a clear opportunity for the incorporation of alternative techniques and tools for promoting health and preventing disease. One of these tools, is the use of thermal water-based treatments, commonly known as thermalism, as tools to trigger patients’ overall wellness. Despite the collective assumption of the effects of thermalism, there is little to no scientific evidence of these treatments, thus impairing the potential of this activity to become more widespread in society. Thus, with this paper, we present a conceptual model for a non-invasive sensing system based on wearables that can monitor a set of patients’ biomarkers which will serve as the basis for the validation of the effects of thermalism. This system will also serve as a management and operation control tool for thermal SPA managers and technical directors. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Teses
supervisionadas

2021

Computer Vision algorithm for Determination of sulfonamides in water

Autor
Inês Baptista da Rocha

Instituição
UP-FCUP

2021

3D Lung Computed Tomography Synthesis using Generative Adversarial Networks

Autor
Artur Manuel Pascoal Ferreira

Instituição
UP-FCUP

2020

Sistema de deteção de intrusões para a internet das coisas

Autor
Leonel Filipe Simões Santos

Instituição
UTAD

2020

Hybrid recommendation system for young athletes training advice

Autor
Paulo Sérgio dos Santos Matos

Instituição
UTAD

2020

Modelo de smart places confiável

Autor
António José Morim Brandão

Instituição
UTAD