Development of a classification model for predicting student payment behavior using artificial intelligence and data science techniques
H Villarreal-Torres, J Ángeles-Morales… - EAI Endorsed …, 2023 - publications.eai.eu
Artificial intelligence today has become a valuable tool for decision-making, where
universities have to adapt and optimize their processes, improving the quality of their …
universities have to adapt and optimize their processes, improving the quality of their …
Random and systematic errors in pairwise computer programming: A systematic review
DA Girón, JS Rosas, W Marín-Rodriguez… - EAI Endorsed …, 2023 - publications.eai.eu
In this article, a systematic review is carried out to identify random and systematic errors in
studies on computer programming in pairs in higher education students. Methodologically …
studies on computer programming in pairs in higher education students. Methodologically …
Random and systematic errors in pairwise computer programming: A systematic review
WJ Marín Rodríguez, D Andrade Girón… - 2023 - repositorio.utp.edu.pe
In this article, a systematic review is carried out to identify random and systematic errors in
studies on computer programming in pairs in higher education students. Methodologically …
studies on computer programming in pairs in higher education students. Methodologically …
An Attributed Graph Clustering Approach Based on Nearest Neighbor Graph
Q Liu, H Liu, JX Wei, Y Ji - 2023 China Automation Congress …, 2023 - ieeexplore.ieee.org
The traditional attribute graph clustering approaches suffer from low computation efficiency
and poor accuracy problems. How to design a general attribute graph cluster method, which …
and poor accuracy problems. How to design a general attribute graph cluster method, which …