New Trend in Fintech: Research on Artificial Intelligence Model Interpretability in Financial Fields

Journals Menu

Follow SCIRP

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.org/journal/ojapps
E-mail: ojapps@scirp.org

"New Trend in Fintech: Research on Artificial Intelligence Model Interpretability in Financial Fields"
written by Han Yan, Sheng Lin,
published by Open Journal of Applied Sciences, Vol.9 No.10, 2019

has been cited by the following article(s):

[1]	Test input prioritization for Machine Learning Classifiers
	IEEE Transactions …, 2024

[2]	A comprehensive review on financial explainable AI
	arXiv preprint arXiv …, 2023

[3]	On the Black-Box Challenge for Fraud Detection Using Machine Learning (II): Nonlinear Analysis through Interpretable Autoencoders
	Ulldemolins, FJ Gimeno-Blanes… - Applied Sciences, 2022

[4]	On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection
	Ulldemolins, FJ Gimeno-Blanes… - Applied Sciences, 2022

[5]	Machine Learning Interpretable para la detección del fraude crediticio
	2022

[1]	Test Input Prioritization for Machine Learning Classifiers IEEE Transactions on Software Engineering, 2024 DOI:10.1109/TSE.2024.3350019

[2]	Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature Machine Learning Research, 2024 DOI:10.11648/j.mlr.20240902.12

[3]	On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection Applied Sciences, 2022 DOI:10.3390/app12073328

[4]	On the Black-Box Challenge for Fraud Detection Using Machine Learning (II): Nonlinear Analysis through Interpretable Autoencoders Applied Sciences, 2022 DOI:10.3390/app12083856

Follow SCIRP