Explainable enterprise credit rating using deep feature crossing-Reference-Cited by-同舟云学术

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Explainable enterprise credit rating using deep feature crossing

Published:2023-06 Issue: Volume:220 Page:119704
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Guo Weiyu^ORCID,Yang Zhijiang,Wu Shu,Wang Xiuli,Chen Fu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference46 articles.

1. Predicting financial distress of companies: Revisiting the z-score and zeta models;Altman,2013

2. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

3. Earnings quality: It’s time to measure and report;Bellovwy;The CPA Journal,2005

4. Latent cross: Making use of context in recurrent recommender systems;Beutel,2018

5. Logistic regression and its application in credit scoring;Bolton,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable artificial intelligence (XAI) in finance: a systematic literature review;Artificial Intelligence Review;2024-07-26

2. Interpretable Enterprise Credit Rating via Reinforcement Learning;Lecture Notes in Computer Science;2024

3. Enterprise Credit Rating Method Based on Stochastic Dominance Under Linguistic Distribution Assessments Context;Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023);2023-10-07

4. Explainable Machine Learning Models for Credit Risk Analysis: A Survey;Data Analytics for Management, Banking and Finance;2023

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