Predicting Retail Customers' Distress: Early Warning Systems and Machine Learning Applications-Reference-Cited by-同舟云学术

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Predicting Retail Customers' Distress: Early Warning Systems and Machine Learning Applications

Published:2024 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Beltman Jaap,Osterrieder Joerg,Machado Marcos

Publisher

Elsevier BV

Reference42 articles.

1. Issues in the credit risk modeling of retail markets;L Allen;Journal of Banking & Finance,2004

2. Early warning system for risk of external liquidity shock in BRICS countries;H An;Emerging Markets Review,2022

3. Anomaly-Based Intrusion Detection System using One-Dimensional Convolutional Neural Network;A T Assy;Procedia Computer Science,2023

4. Machine learning models and bankruptcy prediction;F Barboza;Expert Systems with Applications,2017

5. Early Warning Systems with Real-Time Data;T M Boonman;SSRN Electronic Journal,2017

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