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TÍTULO: A Machine Learning Model to Early Detect Low Performing Students from LMS Logged Interactions
AUTORES: Bruno Cabral; Álvaro Figueira ;
PUBLICAÇÃO: 2019, FONTE: Learning and Analytics in Intelligent Systems - Innovation in Information Systems and Technologies to Support Learning Research
INDEXADO EM: CrossRef
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TÍTULO: A System to Automatically Predict Relevance in Social Media
AUTORES: Figueira, A ; Guimaraes, N ; Pinto, J;
PUBLICAÇÃO: 2019, FONTE: International Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist) in CENTERIS2019--INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/PROJMAN2019--INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/HCIST2019--INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, VOLUME: 164
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
33
TÍTULO: On the Development of a Model to Prevent Failures, Built from Interactions with Moodle
AUTORES: Bruno Cabral; Alvaro Figueira ;
PUBLICAÇÃO: 2019, FONTE: 18th Annual International Conference on Web-Based Learning (ICWL) in ADVANCES IN WEB-BASED LEARNING - ICWL 2019, VOLUME: 11841
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
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TÍTULO: Preventing Failures by Predicting Students' Grades through an Analysis of Logged Data of Online Interactions
AUTORES: Bruno Cabral; Álvaro Figueira ;
PUBLICAÇÃO: 2019, FONTE: 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019 in Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2019, Volume 1: KDIR, Vienna, Austria, September 17-19, 2019., VOLUME: 1
INDEXADO EM: Scopus DBLP CrossRef
35
TÍTULO: A Three-Step Data-Mining Analysis of Top-Ranked Higher Education Institutions' Communication on Facebook
AUTORES: Alvaro Figueira ;
PUBLICAÇÃO: 2018, FONTE: 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM) in SIXTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY (TEEM'18)
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
36
TÍTULO: Analysis and Detection of Unreliable Users in Twitter: Two Case Studies
AUTORES: Nuno Guimarães; Álvaro Figueira ; Luís Torgo ;
PUBLICAÇÃO: 2018, FONTE: Knowledge Discovery, Knowledge Engineering and Knowledge Management - 10th International Joint Conference, IC3K 2018, Seville, Spain, September 18-20, 2018, Revised Selected Papers, VOLUME: 1222
INDEXADO EM: DBLP
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TÍTULO: Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour
AUTORES: Nuno Guimarães ; Álvaro Figueira ; Luís Torgo ;
PUBLICAÇÃO: 2018, FONTE: 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018 in Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018, Volume 1: KDIR, Seville, Spain, September 18-20, 2018., VOLUME: 1
INDEXADO EM: Scopus DBLP CrossRef: 2
38
TÍTULO: Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges
AUTORES: Álvaro Figueira ; Nuno Guimarães ; Luís Torgo ;
PUBLICAÇÃO: 2018, FONTE: 14th International Conference on Web Information Systems and Technologies, WEBIST 2018 in Proceedings of the 14th International Conference on Web Information Systems and Technologies, WEBIST 2018, Seville, Spain, September 18-20, 2018.
INDEXADO EM: Scopus DBLP CrossRef: 10
39
TÍTULO: Human vs. Automatic Annotation Regarding the Task of Relevance Detection in Social Networks
AUTORES: Nuno Guimaraes ; Filipe Miranda; Alvaro Figueira ;
PUBLICAÇÃO: 2018, FONTE: 6th International Conference on Emerging Internet, Data and Web Technologies (EIDWT) in ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES, VOLUME: 17
INDEXADO EM: WOS DBLP CrossRef: 2
40
TÍTULO: Measuring Performance and Efficiency on Social Media: A Longitudinal Study
AUTORES: Luciana Oliveira ; Alvaro Figueira ;
PUBLICAÇÃO: 2018, FONTE: 5th European Conference on Social Media (ECSM) in PROCEEDINGS OF THE 5TH EUROPEAN CONFERENCE ON SOCIAL MEDIA (ECSM 2018)
INDEXADO EM: Scopus WOS
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