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Detalhes

Detalhes

  • Nome

    Álvaro Figueira
  • Cluster

    Informática
  • Cargo

    Responsável de Área
  • Desde

    01 março 2009
002
Publicações

2019

A Brief Overview on the Strategies to Fight Back the Spread of False Information

Autores
Figueira, A; Guirnaraes, N; Torgo, L;

Publicação
JOURNAL OF WEB ENGINEERING

Abstract
The proliferation of false information on social networks is one of the hardest challenges in today's society, with implications capable of changing users perception on what is a fact or rumor. Due to its complexity, there has been an overwhelming number of contributions from the research community like the analysis of specific events where rumors are spread, analysis of the propagation of false content on the network, or machine learning algorithms to distinguish what is a fact and what is "fake news". In this paper, we identify and summarize some of the most prevalent works on the different categories studied. Finally, we also discuss the methods applied to deceive users and what are the next main challenges of this area.

2019

Preventing Failures by Predicting Students’ Grades through an Analysis of Logged Data of Online Interactions

Autores
Cabral, B; Figueira, A;

Publicação
Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Abstract

2019

On the Development of a Model to Prevent Failures, Built from Interactions with Moodle

Autores
Cabral, B; Figueira, Á;

Publicação
Lecture Notes in Computer Science - Advances in Web-Based Learning – ICWL 2019

Abstract

2019

A Machine Learning Model to Early Detect Low Performing Students from LMS Logged Interactions

Autores
Cabral, B; Figueira, Á;

Publicação
Learning and Analytics in Intelligent Systems - Innovation in Information Systems and Technologies to Support Learning Research

Abstract

2018

Human vs. Automatic Annotation Regarding the Task of Relevance Detection in Social Networks

Autores
Guimaraes, N; Miranda, F; Figueira, A;

Publicação
Advances in Internet, Data & Web Technologies - Lecture Notes on Data Engineering and Communications Technologies

Abstract

Teses
supervisionadas

2018

Melhoria de Processos de Software em Pequenas Empresas com base no Modelo ITmark

Autor
Duarte Gil Araújo Gomes

Instituição
UP-FEUP

2017

Sistema para visualização e análise de interações pedagógicas online

Autor
André Cruzeiro Rei

Instituição
UP-FCUP

2017

Design and development of an automatic system for fake news detection

Autor
Nuno Ricardo Pinheiro da Silva Guimarães

Instituição
UP-FCUP

2017

Using named entity recognition for relevance detection in social network messages

Autor
Filipe Daniel da Gama Batista

Instituição
UP-FCUP

2017

Computing the accuracy of an automatic system for relevance detection in social networks

Autor
Filipe Fernandes Miranda

Instituição
UP-FCUP