SOTAVerified

Fraud Detection

Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex. Data mining and statistics help to predict and immediately distinguish fraud and take immediate action to minimize costs.

Source: Applying support vector data description for fraud detection

Papers

Showing 226250 of 547 papers

TitleStatusHype
Extracting the Native Language Signal for Second Language Acquisition0
ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding Disorder Mentions in Clinical Notes0
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations0
Fair Anomaly Detection For Imbalanced Groups0
FairGen: Fair Synthetic Data Generation0
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments0
Fairness-aware Outlier Ensemble0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection0
FraudJudger: Real-World Data Oriented Fraud Detection on Digital Payment Platforms0
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists0
Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection0
Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization0
Federated learning in food research0
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges0
Dataset shift quantification for credit card fraud detection0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection0
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods0
Advanced Real-Time Fraud Detection Using RAG-Based LLMs0
Financial Fraud Detection using Quantum Graph Neural Networks0
A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective0
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework0
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance0
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3Unverified
2CatBoostRecall @ 5% FPR52.4Unverified
3LightGBMRecall @ 5% FPR51.76Unverified
41D-CSNNRecall @ 5% FPR50.35Unverified
5MLP–NNRecall @ 5% FPR49.6Unverified
61D-CSNNRecall @ 5% FPR42.79Unverified
7LightGBMRecall @ 1% FPR25.2Unverified
8FIGSRecall @ 1% FPR21Unverified
9CART+RIFFRecall @ 1% FPR18.4Unverified
10CARTRecall @ 1% FPR16Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4Unverified
2JA-GNNAUC-ROC95.11Unverified
3GTANAUC-ROC94.98Unverified
4BOLT-GRAPHAUC-ROC93.18Unverified
5SplitGNNAUC-ROC92.03Unverified
6GAT+JKAUC-ROC90.04Unverified
7RLC-GNNAUC-ROC85.44Unverified
8RioGNNAUC-ROC83.54Unverified
9PC-GNNAUC-ROC79.87Unverified
10CARE-GNNAUC-ROC75.7Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91Unverified
2GTANAUC-ROC97.5Unverified
3RLC-GNNAUC-ROC97.48Unverified
4RioGNNAUC-ROC96.19Unverified
5PC-GNNAUC-ROC95.86Unverified
6CARE-GNNAUC-ROC89.73Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83Unverified
2GraphSAGEAUC0.83Unverified
3GATAUC0.81Unverified
4GINAUC0.81Unverified
5Node2vecAUC0.53Unverified
6DeepwalkAUC0.45Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79Unverified
2GraphSAGEAUC0.67Unverified
3metapath2vecAUC0.51Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33Unverified
2DevNetAUC0.98Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98Unverified