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 426450 of 547 papers

TitleStatusHype
Analysis of Communication Pattern with Scammers in Enron Corpus0
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network0
An Efficient Outlier Detection Algorithm for Data Streaming0
A new perspective on classification: optimally allocating limited resources to uncertain tasks0
An Information-Theoretic Approach to Personalized Explainable Machine Learning0
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism0
A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection0
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model0
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks0
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms0
Anomaly Detection using Capsule Networks for High-dimensional Datasets0
A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection0
Application of AI-based Models for Online Fraud Detection and Analysis0
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance0
Application of Deep Reinforcement Learning to Payment Fraud0
Applications of Machine Learning in Fintech Credit Card Fraud Detection0
Applying Quantum Autoencoders for Time Series Anomaly Detection0
Applying support vector data description for fraud detection0
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods0
A Privacy-Preserving Outsourced Data Model in Cloud Environment0
A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients0
A review on ranking problems in statistical learning0
A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management0
Supervised Graph Contrastive Learning for Few-shot Node Classification0
ASTM :Autonomous Smart Traffic Management System Using Artificial Intelligence CNN and LSTM0
Show:102550
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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