Credit scoring model: A combination of genetic programming and deep learning

By K. Tran, Thanh Duong, Quyen Ho. 2016

23 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Finance

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Bing Zhu
2. Wenchuan Yang
3. Huaxuan Wang
4. Yuan Yuan
5. A. Ozbayoglu
6. Omer Berat Sezer
7. M. Ugur Gudelek

In Artificial Intelligence

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. Bing Zhu
4. Wenchuan Yang
5. Huaxuan Wang
6. Yuan Yuan
7. A. Ozbayoglu

In Finance

1. M. Ugur Gudelek
2. A. Ozbayoglu
3. Omer Berat Sezer
4. Bing Zhu
5. Wenchuan Yang
6. Huaxuan Wang
7. Yuan Yuan
8. Weiwei Jiang

Citations in the corpus

• Deep Learning for Financial Applications : A Survey (2020, methodology): “[80] Australian, German credit data Personal financial variables GP + AE as Boosted DNN FP Python, Scikitlearn”
• A hybrid deep learning model for consumer credit scoring (2018, background): “Khiem Tran and Thanh Duong [14] proposed a boosted deep network which combines genetic programming and deep learning.”