Have a personal or library account? Click to login
Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques Cover

Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques

Cybernetics and Information Technologies
Volume 24 (2024): Issue 4 (December 2024)
By: Umangbhai Soni,  Gordhan Jethava and  Amit Ganatra  
Open Access
|Dec 2024

Authors

Umangbhai Soni

umanghsoni@gmail.com

Department of Computer Science and Engineering, Parul Institute of Engineering & Technology, Parul University, Gujarat, India

Gordhan Jethava

g.jethava@gmail.com

Department of Information Technology, Parul Institute of Engineering & Technology, Parul University, Gujarat, India

Amit Ganatra

provost@paruluniversity.ac.in

Parul University, Gujarat, India
DOI: https://doi.org/10.2478/cait-2024-0034 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 22 - 44
Submitted on: Jun 10, 2024
|
Accepted on: Oct 13, 2024
|
Published on: Dec 18, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Credit risk assessment,
Single classifier system,
Multiple classifier system,
Dynamic selection,
Class-Imbalance.
Related subjects:
Computer sciences,
Information technology

© 2024 Umangbhai Soni, Gordhan Jethava, Amit Ganatra, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 24 (2024): Issue 4 (December 2024)Next article