Cover Image

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tong, Kejian, Han, Zonglin, Shen, Yanxin, Long, Yujian, Wei, Yijing
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Model Fusion Approach for Enhancing Credit Approval Decision Making
by: Wu, Yuanhong, et al.
Published: (2026)

Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection
by: Lin, Cooper, et al.
Published: (2026)

Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
by: Zhu, Mengran, et al.
Published: (2024)

Data Analysis on Credit Card Debt: Rate of Consumption and Impact on Individuals and the US Economy
by: Akinwande, Mayowa, et al.
Published: (2024)

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
by: Shi, Yumeng, et al.
Published: (2025)

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
by: Shen, Bolin, et al.
Published: (2025)

Participatory Budget Allocation Method for Approval Ballots
by: Page, Rutvik, et al.
Published: (2024)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
by: Kim, Minwu, et al.
Published: (2024)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)

A Deep Learning Algorithm Based on CNN-LSTM Framework for Predicting Cancer Drug Sales Volume
by: Li, Yinghan, et al.
Published: (2025)

Query Time Optimized Deep Learning Based Video Inference System
by: Shen, Mingren, et al.
Published: (2022)

Enhancing Financial Decision-Making: Machine Learning and AI-Powered Predictions and Analysis
by: Patil, Vishal, et al.
Published: (2025)

Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators
by: Sarkar, Dibakar Roy, et al.
Published: (2025)

ViT-Transformer: Self-attention mechanism based constitutive modeling for nonlinear heterogeneous materials
by: Zhou, Yijing, et al.
Published: (2025)

PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing
by: Hamel, Chas, et al.
Published: (2024)

MMFCTUB: Multi-Modal Financial Credit Table Understanding Benchmark
by: Yakun, Cui, et al.
Published: (2026)

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024)

Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
by: Chen, Donghao, et al.
Published: (2024)

DEWP: Deep Expansion Learning for Wind Power Forecasting
by: Fan, Wei, et al.
Published: (2024)

Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization
by: Kim, Minseop, et al.
Published: (2026)

A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios
by: Reis, Pedro, et al.
Published: (2025)

Cash and Card Acceptance in Retail Payments: Motivations and Factors
by: Vandak, Samuel, et al.
Published: (2024)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)

Machine Learning based Prediction of Ditching Loads
by: Schwarz, Henning, et al.
Published: (2024)

Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning
by: Cheng, Qishuo
Published: (2024)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)

Gradient-Informed Machine Learning in Electromagnetics
by: Zorzetto, Matteo, et al.
Published: (2026)

NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining
by: Ruan, Penghui, et al.
Published: (2024)

Bridging the Gap Between Data-Driven And Theory-Driven Modelling - Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems
by: Gonzalez, David Zapata, et al.
Published: (2024)

Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations
by: Zaghen, Olga, et al.
Published: (2026)

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration
by: Lei, Zhenyu, et al.
Published: (2026)

COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
by: Shen, Zhengyang, et al.
Published: (2025)

CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins
by: Long, Hou-Wan, et al.
Published: (2024)

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
by: Wyder, Philippe Martin, et al.
Published: (2025)

A Machine Learning-Fueled Modelfluid for Flowsheet Optimization
by: Bubel, Martin, et al.
Published: (2025)

Deep Reinforcement Learning Algorithms for Option Hedging
by: Neagu, Andrei, et al.
Published: (2025)

Physics-Informed Machine Learning for Grade Prediction in Froth Flotation
by: Nasiri, Mahdi, et al.
Published: (2024)

Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)

Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids
by: Wagner, Jens, et al.
Published: (2026)

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
by: Yang, Zonglin, et al.
Published: (2026)