Cover Image

Analyzing the Impact of Credit Card Fraud on Economic Fluctuations of American Households Using an Adaptive Neuro-Fuzzy Inference System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhuqi, Zhang, Qinghe, Cheng, Zhuopei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Credit Card Fraud Detection
by: Popova, Iva, et al.
Published: (2025)

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

Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
by: Singh, Moirangthem Tiken, et al.
Published: (2024)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
by: Xiang, Sheng, et al.
Published: (2024)

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

UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification
by: Salimi-Badr, Armin
Published: (2022)

Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
by: Hayat, Khizar, et al.
Published: (2025)

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
by: Yeganejou, Mojtaba, et al.
Published: (2023)

Effective High-order Graph Representation Learning for Credit Card Fraud Detection
by: Zou, Yao, et al.
Published: (2025)

ADNF-Clustering: An Adaptive and Dynamic Neuro-Fuzzy Clustering for Leukemia Prediction
by: Aruta, Marco, et al.
Published: (2025)

Explainable Uncertainty Quantification for Wastewater Treatment Energy Prediction via Interval Type-2 Neuro-Fuzzy System
by: Khaled, Qusai, et al.
Published: (2026)

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)

Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
by: Lv, Jiaqi, et al.
Published: (2026)

A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector Retrieval
by: Miao, Jiayi, et al.
Published: (2025)

Generative Fuzzy System for Sequence Generation
by: Yang, Hailong, et al.
Published: (2024)

NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
by: Machot, Fadi Al, et al.
Published: (2025)

ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
by: Farahmandazad, Dorsa, et al.
Published: (2025)

Credit Card Fraud Detection: A Deep Learning Approach
by: Verma, Sourav, et al.
Published: (2024)

Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
by: Cheng, Yinan, et al.
Published: (2024)

FISformer: Replacing Self-Attention with a Fuzzy Inference System in Transformer Models for Time Series Forecasting
by: Haznedar, Bulent, et al.
Published: (2026)

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
by: Almalki, Fahad, et al.
Published: (2025)

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models
by: Zhang, Yilun
Published: (2025)

A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection
by: Wang, Yuhan
Published: (2025)

Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems
by: Zhang, Shichang, et al.
Published: (2025)

DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference
by: Xia, Xiang, et al.
Published: (2026)

Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)

Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
by: Koklu, Ata, et al.
Published: (2024)

SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
by: Zhang, Xiaocheng, et al.
Published: (2025)

Exact Is Easier: Credit Assignment for Cooperative LLM Agents
by: Chen, Yanjun, et al.
Published: (2026)

TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
by: Zhang, Wei, et al.
Published: (2021)

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
by: Dickens, Charles, et al.
Published: (2024)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
by: Li, Yuan, et al.
Published: (2025)

Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection
by: Kabane, Siyaxolisa
Published: (2024)

Neuro-Inspired Hierarchical Multimodal Learning
by: Xiao, Xiongye, et al.
Published: (2023)

RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
by: Li, Haolin, et al.
Published: (2024)

Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
by: Devabhakthini, Prathyusha, et al.
Published: (2023)

PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
by: Agiza, Ahmed, et al.
Published: (2024)

Debiasing Alternative Data for Credit Underwriting Using Causal Inference
by: Lam, Chris
Published: (2024)

Fuzzy Rule-based Differentiable Representation Learning
by: Zhang, Wei, et al.
Published: (2025)