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 501547 of 547 papers

TitleStatusHype
Deep-Net: Deep Neural Network for Cyber Security Use Cases0
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation0
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
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data0
VOS: a Method for Variational Oversampling of Imbalanced DataCode0
A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management0
Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection0
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach0
Instance-Level Explanations for Fraud Detection: A Case Study0
AlertMix: A Big Data platform for multi-source streaming data0
Machine Learning and Blockchain for Fraud Detection: Employing Artificial Intelligence in the Banking Sector0
Continuous-variable quantum neural networksCode1
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks0
Personalized Influence Estimation Technique0
Opinion Fraud Detection via Neural Autoencoder Decision Forest0
EMO\&LY (EMOtion and AnomaLY) : A new corpus for anomaly detection in an audiovisual stream with emotional context.0
Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization0
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly DetectionCode0
BigDL: A Distributed Deep Learning Framework for Big DataCode0
CoDetect: Financial Fraud Detection With Anomaly Feature Detection0
Onion-Peeling Outlier Detection in 2-D data Sets0
One-Class Adversarial Nets for Fraud DetectionCode0
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms0
Transaction Fraud Detection Using GRU-centered Sandwich-structured Model0
Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance0
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks0
Evaluating hypotheses in geolocation on a very large sample of Twitter0
Role of Secondary Attributes to Boost the Prediction Accuracy of Students Employability Via Data Mining0
Spectrum-based deep neural networks for fraud detection0
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache SparkCode0
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets0
The Many Faces of Link Fraud0
A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective0
Local Subspace-Based Outlier Detection using Global NeighbourhoodsCode0
Credit Card Fraud Detection Using Convolutional Neural NetworksCode1
Some Experimental Issues in Financial Fraud Detection: An Investigation0
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection0
Analysis of Communication Pattern with Scammers in Enron Corpus0
Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrameCode3
Online Anomaly Detection via Class-Imbalance Learning0
Learning Representations for Outlier Detection on a Budget0
Ensemble of Example-Dependent Cost-Sensitive Decision Trees0
A Survey of Predictive Modelling under Imbalanced DistributionsCode0
ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding Disorder Mentions in Clinical Notes0
Auditing: Active Learning with Outcome-Dependent Query Costs0
Extracting the Native Language Signal for Second Language Acquisition0
A Comprehensive Survey of Data Mining-based Fraud Detection Research0
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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