Optimizing Customer Response Prediction in Auto Insurance: A Comparative Study of Machine Learning Models-Reference-Cited by-同舟云学术

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Optimizing Customer Response Prediction in Auto Insurance: A Comparative Study of Machine Learning Models

Published:2024-02-26 Issue: Volume: Page:01-07
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
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Author:

Aburass Sanad¹,Dorgham Osama²,Al Shaqsi Jamil³,Rumman Maha Abu¹,Al Zarouni Ahmed²

Affiliation:

1. Maharishi International University,Department of Computer Science,Fairfield,Iowa,USA

2. School of Information Technology Skyline University College,Sharjah,United Arab Emirates

3. Sultan Qaboos University,Information Systems Department,Muscat,Oman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532980.pdf?arnumber=10532980

Reference24 articles.

1. Performance Evaluation of Swin Vision Transformer Model Using Gradient Accumulation Optimization Technique

2. How to retain customers: Understanding the role of trust in live streaming commerce with a socio-technical perspective

3. U-NetCTS: U-Net deep neural network for fully automatic segmentation of 3D CT DICOM volume

4. Big Data: New Tricks for Econometrics

Cited by 1 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. A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe;Systems and Soft Computing;2024-12

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