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Caio Eduardo Ribeiro
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2020 – today
- 2024
- [j5]Caio Eduardo Ribeiro, Alex Alves Freitas:
A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing. Artif. Intell. Rev. 57(4): 84 (2024) - 2021
- [j4]Caio Eduardo Ribeiro, Alex Alves Freitas:
A data-driven missing value imputation approach for longitudinal datasets. Artif. Intell. Rev. 54(8): 6277-6307 (2021) - [c4]Caio Eduardo Ribeiro, Alex Alves Freitas
:
Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. ICHI 2021: 106-112 - 2020
- [c3]Marta D. M. Noronha
Characterization of long-lived and non-long lived profiles through biclustering. SAC 2020: 473-476 - [c2]Caio Eduardo Ribeiro, Alex Alves Freitas
A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. SSCI 2020: 806-813
2010 – 2019
- 2019
- [j3]Caio Eduardo Ribeiro, Luis Enrique Zárate
Classifying longevity profiles through longitudinal data mining. Expert Syst. Appl. 117: 75-89 (2019) - 2017
- [j2]Caio Eduardo Ribeiro
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research. WIREs Data Mining Knowl. Discov. 7(3) (2017) - 2016
- [j1]Caio Eduardo Ribeiro, Luis Enrique Zárate:
Data Preparation for Longitudinal Data Mining: a case study on human ageing. J. Inf. Data Manag. 7(2): 116-129 (2016) - 2015
- [c1]Caio Eduardo Ribeiro, Anna Izabel João Tostes Ribeiro:
Metodologia de Geração de Plataforma de Inteligência de Negócios para Comissões de Avaliação de Universidade [Methodology for Generation of Business Intelligence Platforms to University Evaluation Committees]. SBSI 2015: 187-194
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