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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 547 papers

TitleStatusHype
ExMo: Explainable AI Model using Inverse Frequency Decision Rules—0
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks—0
On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning—0
Crypto Pump and Dump via Deep Learning TechniquesCode1
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists—0
Modelling graph dynamics in fraud detection with "Attention"Code1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection AlgorithmsCode1
Neurochaos Feature Transformation and Classification for Imbalanced LearningCode0
Prediction of motor insurance claims occurrence as an imbalanced machine learning problem—0
The Importance of Future Information in Credit Card Fraud Detection—0
Supervised Graph Contrastive Learning for Few-shot Node Classification—0
Graph similarity learning for change-point detection in dynamic networksCode0
Radial Autoencoders for Enhanced Anomaly Detection—0
Distributed data analytics—0
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks—0
Multiple Inputs Neural Networks for Medicare fraud Detection—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Trustworthy Anomaly Detection: A Survey—0
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection—0
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network—0
A new perspective on classification: optimally allocating limited resources to uncertain tasks—0
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance—0
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection—0
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection—0
Anomaly Detection using Capsule Networks for High-dimensional Datasets—0
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Application of Deep Reinforcement Learning to Payment Fraud—0
Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection—0
Network In Graph Neural Network—0
Graph Neural Network Training with Data Tiering—0
Social Fraud Detection Review: Methods, Challenges and Analysis—0
Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection—0
TOD: GPU-accelerated Outlier Detection via Tensor OperationsCode1
Credit Card Fraud Detection Using Machine Learning Approach—0
Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture—0
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources—0
Deep Fraud Detection on Non-attributed Graph—0
Sample Complexity of Deep Active Learning—0
Customs Fraud Detection in the Presence of Concept DriftCode1
Synthetic Data Generation for Fraud Detection using GANs—0
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics—0
Credit Card Fraud Detection using Machine Learning: A Study—0
EDITS: Modeling and Mitigating Data Bias for Graph Neural NetworksCode1
Incremental Feature Learning For Infinite Data—0
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud DetectionCode0
Relational Graph Neural Networks for Fraud Detection in a Super-App environment—0
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning—0
Applications of Machine Learning in Fintech Credit Card Fraud Detection—0
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production—0
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All datasetsBAF – BaseYelp-FraudAmazon-FraudElliptic DatasetHealthcare Provider Fraud Detection AnalysisKaggle-Credit Card Fraud DatasetBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VFDCompCN

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightGBMRecall @ 5% FPR54.3—Unverified
2CatBoostRecall @ 5% FPR52.4—Unverified
3LightGBMRecall @ 5% FPR51.76—Unverified
41D-CSNNRecall @ 5% FPR50.35—Unverified
5MLP–NNRecall @ 5% FPR49.6—Unverified
61D-CSNNRecall @ 5% FPR42.79—Unverified
7LightGBMRecall @ 1% FPR25.2—Unverified
8FIGSRecall @ 1% FPR21—Unverified
9CART+RIFFRecall @ 1% FPR18.4—Unverified
10CARTRecall @ 1% FPR16—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC96.4—Unverified
2JA-GNNAUC-ROC95.11—Unverified
3GTANAUC-ROC94.98—Unverified
4BOLT-GRAPHAUC-ROC93.18—Unverified
5SplitGNNAUC-ROC92.03—Unverified
6GAT+JKAUC-ROC90.04—Unverified
7RLC-GNNAUC-ROC85.44—Unverified
8RioGNNAUC-ROC83.54—Unverified
9PC-GNNAUC-ROC79.87—Unverified
10CARE-GNNAUC-ROC75.7—Unverified
#ModelMetricClaimedVerifiedStatus
1LEX-GNNAUC-ROC97.91—Unverified
2GTANAUC-ROC97.5—Unverified
3RLC-GNNAUC-ROC97.48—Unverified
4RioGNNAUC-ROC96.19—Unverified
5PC-GNNAUC-ROC95.86—Unverified
6CARE-GNNAUC-ROC89.73—Unverified
#ModelMetricClaimedVerifiedStatus
1GCNAUC0.83—Unverified
2GraphSAGEAUC0.83—Unverified
3GATAUC0.81—Unverified
4GINAUC0.81—Unverified
5Node2vecAUC0.53—Unverified
6DeepwalkAUC0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1BiRankAUC0.79—Unverified
2GraphSAGEAUC0.67—Unverified
3metapath2vecAUC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy71.33—Unverified
2DevNetAUC0.98—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR40.71—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR47.08—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR41.83—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR35.54—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNRecall @ 5% FPR34.96—Unverified
#ModelMetricClaimedVerifiedStatus
1SplitGNNAUC-ROC68.98—Unverified