AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector

Author:

Kumar Vikas1,Saheb Shaiku Shahida2,Preeti 3,Ghayas Atif4,Kumari Sunil5,Chandel Jai Kishan6,Pandey Saroj Kumar7,Kumar Santosh8

Affiliation:

1. Dr. B. R. Ambedkar National Institute of Technology Jalandhar,Humanities and Management Department,Jalandhar,India,144027

2. Lovely Professional University,Mittal School of Business,Phagwara,India,144402

3. Kanya Maha Vidyalaya (KMV),Department of Commerce & Business Administration,Jalandhar,India,144004

4. Gitam (to be deemed university),School of Management,Bangalore,India,561203

5. Indra Gandhi University,Government College for Women,Ateli,India,123021

6. Kurukshetra University,Institute of Management Studies,Kurukshetra,India,136119

7. GLA University,Department of Computer Engineering and Applications,Mathura,India,281406

8. Jaipuriya Institute of Management,Department of Management,Jaipur,India,302033

Publisher

Tsinghua University Press

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems

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2. KDGAN: Knowledge distillation‐based model copyright protection for secure and communication‐efficient model publishing;IET Communications;2024-06-17

3. Applications of Artificial Intelligence Techniques in Modern Banking Sectors;Advances in Information Security, Privacy, and Ethics;2024-06-14

4. AI Based Banking Data Analysis with a Design Thinking Approach;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

5. A Generative AI-driven Application: Use of Large Language Models for Traffic Scenario Generation;2023 14th International Conference on Electrical and Electronics Engineering (ELECO);2023-11-30

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