A novel deep ensemble model for imbalanced credit scoring in internet finance

J Xiao, Y Zhong, Y Jia, Y Wang, R Li, X Jiang… - International Journal of …, 2024 - Elsevier
Most existing deep ensemble credit scoring models have considered deep neural networks,
for which the structures are difficult to design and the modeling results are difficult to …

Label correlations-based multi-label feature selection with label enhancement

W Qian, Y Xiong, W Ding, J Huang, CM Vong - Engineering Applications of …, 2024 - Elsevier
Feature selection, as an important pre-processing technique, can efficiently mitigate the
issue of “the curse of dimensionality” by selecting discriminative features especially for multi …

A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO

AE Chaleshtori - arXiv preprint arXiv:2403.20033, 2024 - arxiv.org
Price prediction algorithms propose prices for every product or service according to market
trends, projected demand, and other characteristics, including government rules …

The model of local wisdom for smart wellness tourism with optimization multilayer perceptron

S Jatmika, S Patmanthara… - … of Theoretical and …, 2024 - repository.uin-malang.ac.id
This study focuses on the influence of variations in the number of hidden layers in the
Artificial Neural Network (ANN) method on model performance and interpretability of results …

Logging curve restoration based on correlation information mining

L Hao, Z Cao, J Han, J Li… - … Conference on Geology …, 2024 - spiedigitallibrary.org
In the application of reservoir geological description using well logging data, some well
logging curves are often distorted or missing. For this reason, well logging curve restoration …