Predicting the success of bank telemarketing using deep convolutional neural network

By Kee-Hoon Kim, Chang-Seok Lee, Sang-Muk Jo, Sung-Bae Cho. 2015

27 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

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

In Artificial Intelligence

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu

In Computer Vision and Pattern Recognition

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Weiwei Jiang

In Signal Processing

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

Citations in the corpus

• Deep Learning for Financial Applications : A Survey (2020, methodology): “[201] used CNN for predicting the success of bank telemarketing.”
• Financial Time Series Forecasting – A Deep Learning Approach (2017, unknown): “On the other hand, [5] use CNNs in a bank telemarketing case study, whereby the aim is to predict whether a customer will take up a particular marketing campaign based on a number of numeric and nominal features per customer.”