Cover Image

Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Mengran, Zhang, Ye, Gong, Yulu, Xu, Changxin, Xiang, Yafei
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
by: Zhu, Mengran, et al.
Published: (2024)

Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
by: Zhu, Mengran, et al.
Published: (2024)

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

Utilizing Deep Learning for Enhancing Network Resilience in Finance
by: Gong, Yulu, et al.
Published: (2024)

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
by: Duan, Yifan, et al.
Published: (2024)

Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection
by: Karayanni, Nader, et al.
Published: (2024)

Credit Card Fraud Detection Using Advanced Transformer Model
by: Yu, Chang, et al.
Published: (2024)

Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
by: Kadam, Prashank
Published: (2024)

A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices with AI and Blockchain for Enhanced Operational Performance
by: Barua, Biman, et al.
Published: (2024)

Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
by: Di Wang, Albert, et al.
Published: (2025)

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
by: Tong, Kejian, et al.
Published: (2024)

Chemical Reaction Neural Networks for Fitting Accelerating Rate Calorimetry Data
by: Bhatnagar, Saakaar, et al.
Published: (2024)

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
by: Guo, Qiming, et al.
Published: (2025)

Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
by: Li, Xiang, et al.
Published: (2025)

The Finite Element Neural Network Method: One Dimensional Study
by: Abda, Mohammed, et al.
Published: (2025)

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

Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital Twin-Based Sparse Sensing Approach
by: Ding, Zihang, et al.
Published: (2025)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)

From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling
by: Hu, Yi, et al.
Published: (2025)

Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks
by: Vaiuso, Andrea, et al.
Published: (2024)

Multi-Objective Neural Network-Assisted Design Optimization of Soft Fin-Ray Fingers for Enhanced Grasping Performance
by: Ghanizadeh, Ali, et al.
Published: (2025)

A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
by: Sharmin, Mahmuda, et al.
Published: (2025)

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
by: Elaarabi, Mouad, et al.
Published: (2026)

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge
by: Zhao, Zihan, et al.
Published: (2025)

LendNova: Towards Automated Credit Risk Assessment with Language Models
by: Shamsi, Kiarash, et al.
Published: (2026)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
by: Da, Qian, et al.
Published: (2026)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)

ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping
by: Shahid, Mukaram, et al.
Published: (2025)

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)

Diffusion Large Language Models for Black-Box Optimization
by: Yuan, Ye, et al.
Published: (2026)

Bi-directional Mapping of Morphology Metrics and 3D City Blocks for Enhanced Characterization and Generation of Urban Form
by: Cai, Chenyi, et al.
Published: (2024)

An Artificial Intelligence Approach for Interpreting Creative Combinational Designs
by: Chen, Liuqing, 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)

GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
by: Kim, Minjoo, et al.
Published: (2025)

IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
by: Kim, Jinwoong, et al.
Published: (2025)

Feature Mapping in Physics-Informed Neural Networks (PINNs)
by: Zeng, Chengxi, et al.
Published: (2024)

ParetoFlow: Guided Flows in Multi-Objective Optimization
by: Yuan, Ye, et al.
Published: (2024)

Anomaly Detection for Hybrid Butterfly Subspecies via Probability Filtering
by: Ruan, Bo-Kai, et al.
Published: (2025)

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