0% Complete
فارسی
Home
/
شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Revolutionizing Credit Scoring: The Synergy of Mamba State Space and CNN Models
Authors :
Behnam Sabzalian
1
1- دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
Keywords :
Credit Scoring،MAMBA،Convolutional Neural Networks (CNNs)
Abstract :
Credit scoring is a crucial tool for financial institutions to assess the creditworthiness of individuals and businesses. However, traditional credit scoring models often struggle with the complexity and dynamics of credit card data. To address this challenge, this study proposes a novel approach that combines a 1D Convolutional Neural Network (CNN) and Mamba State Space Model to improve the accuracy of credit scoring.The proposed approach leverages the strengths of both models to capture the patterns and dynamics in credit card data. The 1D CNN extracts relevant features from the data, while the Mamba State Space Model captures the underlying structure and dynamics. By combining these two models, the proposed approach aims to achieve more accurate credit scoring predictions.The study uses the "Default of Credit Cards Clients Dataset" collected by UCI Machine Learning Repository to evaluate the performance of the proposed approach. The results show that the proposed method achieves an accuracy of 92%, which is higher than previous researches.
Papers List
List of archived papers
Statistical Disorder Parameters Computing For Hyperspectral Image Anomaly Detection
Dr Maryam Imani
Beyond One-Hot: CatBoost for Heating and Cooling Load Prediction
Shayan Naghizadeh - Mohammad Saeed Rajabi - Ehsan Nazerfard
An Attention-Enhanced Hybrid Deep Learning Framework for Detecting Denial-of-Wallet Attacks in Serverless Platforms
Mohammad Mehmandoost - HadiShahriar Shahhoseini
IoMT-Enabled Smart Healthcare: State-of-the-Art, Security and Future Directions
Shivam Tripathi - Vatsalkumar Makwana - Malaram Kumhar - Harshal Trivedi - Jitendra Bhatia - Sudeep Tanwar - Hossein Shahinzadeh
Conceptual Intelligent Model for Visual Question Answering using Attention Mechanism and Relational Reasoning
ٍElham Alighardash - Dr Hassan Khotanlou - Vahid Pour Amin
نقشه های شناختی فازی پیشرفته (FCM) رویکردی برای مدل سازی سیستم های پیچیده ی پویا
فریبا اسلامی امیرآبادی - کمال میرزایی بدرآبادی
روشی برای بهبود آزمون جهش پیشگویانه با در نظر گرفتن اثر داده های از دست رفته
طه رستمی - دکتر سعید جلیلی طه رستمی - سعید جلیلی -
A Novel Decentralized Privacy Preserving Federated Learning Model for Healthcare Applications
Saba Ameri - Reza Ebrahimi Atani
Information Technology Risk Management Model for Remote Control Vehicles
Hamid Reza Naji - Aref Ayati
Exploring the Relationship Between Gameplay Log Data and Depression & Anxiety
Soroush Elyasi - Arya Varasteh Nezhad - Fattaneh Taghiyareh
more
Samin Hamayesh - Version 42.5.2