One-dimensional convolutional neural networks with feature selection for highly concise rule extraction from credit scoring datasets with heterogeneous attributes
Y Hayashi, N Takano - Electronics, 2020 - mdpi.com
Convolution neural networks (CNNs) have proven effectiveness, but they are not applicable
to all datasets, such as those with heterogeneous attributes, which are often used in the …
to all datasets, such as those with heterogeneous attributes, which are often used in the …
Does deep learning work well for categorical datasets with mainly nominal attributes?
Y Hayashi - Electronics, 2020 - mdpi.com
Given the complexity of real-world datasets, it is difficult to present data structures using
existing deep learning (DL) models. Most research to date has concentrated on datasets …
existing deep learning (DL) models. Most research to date has concentrated on datasets …
Credit scoring using neural networks and SURE posterior probability calibration
M Garcin, S Stéphan - arXiv preprint arXiv:2107.07206, 2021 - arxiv.org
In this article we compare the performances of a logistic regression and a feed forward
neural network for credit scoring purposes. Our results show that the logistic regression …
neural network for credit scoring purposes. Our results show that the logistic regression …
Cascade of Deep Neural Network And Support Vector Machine for Credit Risk Prediction
One of the core financial services that banks render to their customers is granting of loans
with interest over a period. To minimize the risk of loan default which eventually may lead to …
with interest over a period. To minimize the risk of loan default which eventually may lead to …
[PDF][PDF] CASCADE OF DEEP NEURAL NETWORK AND SUPPORT VECTOR MACHINE FOR CREDIT RISK PREDICTION
S Alimi, O Ogunyolu, O Solanke, S Iyawe, F Adegbie - researchgate.net
One of the core financial services that banks render to their customers is granting of loans
with interest over a period. To minimize the risk of loan default which eventually may lead to …
with interest over a period. To minimize the risk of loan default which eventually may lead to …