No O artigo "Recent advances in decision trees: an updated survey", publicado on line na Artificial Intelligence Review ultrapassou a marca de 100 citações em dois anos segundo o Web of Science (foi publicado online em outubro de 2022). 

De autoria de Vinícius Garcia Costa (doutorando do PESC) com o Prof. Carlos Pedreira (PESC), esse artigo faz parte da tese de doutorado do Vinicius que será defendida em 2025.

Ressalte-se que são 101 citações contadas apenas em periódicos JCR. 

Alguns detalhes a seguir ou clicando aqui.

Recent advances in decision trees: an updated survey
Authors: Vinícius G. Costa, Carlos E. Pedreira
Artificial Intelligence Review, Volume 56, Issue 5, Pages 4765 - 4800
Published: 10 October 2022
6456 Accesses, 136 Citations

Abstract
Decision Trees (DTs) are predictive models in supervised learning, known not only for their unquestionable utility in a wide range of applications but also for their interpretability and robustness. Research on the subject is still going strong after almost 60 years since its original inception, and in the last decade, several researchers have tackled key matters in the field. Although many great surveys have been published in the past, there is a gap since none covers the last decade of the field as a whole. This paper proposes a review of the main recent advances in DT research, focusing on three major goals of a predictive learner: issues regarding the fitting of training data, generalization, and interpretability. Moreover, by organizing several topics that have been previously analyzed in isolation, this survey attempts to provide an overview of the field, its key concerns, and future trends, serving as a good entry point for both researchers and newcomers to the machine learning community.

Parabéns ao Vinícius e ao Prof. Pedreira!

Publicado em 29/11/2024.