- Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019, published in 2021
- First pass
- Second pass
- Third pass
- Check references
- Deep Learning for Anomaly Detection: A Survey, published in 2019
- First pass
- Second pass
- Third pass
- Check references
- A survey of machine-learning and nature-inspired based credit card fraud detection techniques, published in 2016
- First pass
- Second pass
- Third pass
- Check references
- How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark, published in 2018
- First pass
- Second pass
- Third pass
- Check references
- Deep Learning Detecting Fraud in Credit Card Transactions, published in 2018
- First pass
- Second pass
- Write main points
~590K transactions, ~400 columns, Dataset link
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List all related works
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Read about sponsor of challenge
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Credit Card Fraud Detection Based on Machine and Deep Learning, 2020
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Credit Card Fraud Detection Using Lightgbm Model 2020
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An Optimized LightGBM Model for Fraud Detection 2020
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Customer Transaction Fraud Detection Using Xgboost Model 2020
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Credit Card Fraud Detection Based on Deep Neural Network Approach 2021
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Intelligent Transaction System for Fraud Detection using Deep Learning Networks 2021
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A StackNet Based Model for Fraud Detection 2021
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Explainable Machine Learning for Fraud Detection 2021
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Financial Fraud Detection with Improved Neural Arithmetic Logic Units 2020
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Influence of Optimizing XGBoost to handle Class Imbalance in Credit Card Fraud Detection 2020
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Interpretable Meta-Measure for Model Performance 2020
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Comparing ROC Curve based Thresholding Methods in Online Transactions Fraud Detection System using Deep Learning 2021
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EPP: interpretable score of model predictive power 2019
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Efficient Fraud Detection Classification: Class Imbalance and Attribute Correlations 2020
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Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data 2021
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Homomorphic SVM Inference for Fraud Detection 2021
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Label noise injection methods for model robustness assessment in fraud detection datasets 2021
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Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning 2021
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Detecting credit card fraud An analysis of fraud detection techniques2020
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Non-Parametric Stochastic Sequential Assignment With Random Arrival Times 2021
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TEDD: Robust Detection of Unstable Temporal Features 2020
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LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions 2020
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C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams 2020
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Fraudulent Transactions Detection in Credit Card by using Data Mining Methods: A Review 2021
- Reviewing IEEE-CIS Fraud Detection : Competition on Kaggle — XGBoost implementation — A Case Study 2019
- IEEE-CIS Fraud Detection - Top 5% Solution 2021
- IEEE-CIS Fraud Detection - by lightgbm 2020
- Adversarial Validation 2020
- Fraud Detection Tag on Towards Data Science
- Credit Card Fraud Detection: Choosing the Right Metrics for Model
- Recall, Precision, F1, ROC, AUC, and everything
~285K transactions, 31 columns, Dataset link
- Credit card fraud detection using artificial neural network, published in 2021
- First pass
- Second pass
- Third pass
- Check research collboarations on Acknowledgements section
- Check related fraud-detection-handbook