Caio Eduardo Ribeiro

According to our database, Caio Eduardo Ribeiro authored at least 9 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing.

Caio Eduardo Ribeiro, Alex Alves Freitas

Artif. Intell. Rev., 2024

2021

A data-driven missing value imputation approach for longitudinal datasets.

Caio Eduardo Ribeiro, Alex Alves Freitas

Artif. Intell. Rev., 2021

Constructed Temporal Features for Longitudinal Classification of Human Ageing Data.

Caio Eduardo Ribeiro, Alex Alves Freitas

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach.

Caio Eduardo Ribeiro, Alex Alves Freitas

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Characterization of long-lived and non-long lived profiles through biclustering.

Marta D. M. Noronha, Marcos W. Rodrigues, Caio Eduardo Ribeiro, Cristiane Neri Nobre, Mark A. J. Song, Luis E. Zárate

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

Classifying longevity profiles through longitudinal data mining.

Caio Eduardo Ribeiro, Luis Enrique Zárate

Expert Syst. Appl., 2019

2017

A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research.

Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex Alves Freitas, Luis Enrique Zárate

WIREs Data Mining Knowl. Discov., 2017

2016

Data Preparation for Longitudinal Data Mining: a case study on human ageing.

Caio Eduardo Ribeiro, Luis Enrique Zárate

J. Inf. Data Manag., 2016

2015

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].

Caio Eduardo Ribeiro, Anna Izabel João Tostes Ribeiro

Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015