Deep Belief Networks for Financial Prediction

By Bernardete Ribeiro, Noel Lopes. 2011

32 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Management Science and Operations Research

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. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek
4. Dong-Sik Jang
5. Sangsung Park
6. Joonhyuck Lee

In Artificial Intelligence

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu
4. Dong-Sik Jang
5. Sangsung Park
6. Joonhyuck Lee

In Management Science and Operations Research

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Dong-Sik Jang
5. Sangsung Park
6. Joonhyuck Lee
7. Weiwei Jiang
8. Longbing Cao

Citations in the corpus

• Deep Learning for Financial Applications : A Survey (2020, background): “[100] implemented bankruptcy prediction with DBN.”
• A deep learning approach for credit scoring using credit default swaps (2017, background): “Recently, the deep belief networks (DBN) has alo been applied in financial predcition (Ribeiro and Lopes, 2011) Whether such deep architectures have theoretical advantages compared to shallow architectures in credit risk assessment remains an open question.”
• Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability (2017, background): “Ribeiro and Lopes (2011) proposed a model that uses a DBN to predict the defaults of French companies [12].”