OpenFE_reproduce
Fraud Detection Reproducibles
Reproduce experiments and results from a research paper on fraud detection using machine learning algorithms.
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Language: Jupyter Notebook
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| Develops a survival analysis-based model to detect fraud early | 34 |
| Develops and evaluates machine learning models for detecting financial fraud | 195 |
| A toolbox for building and comparing graph neural network-based fraud detection models | 698 |
| Develops a machine learning model to classify and rank customs fraud cases based on transaction-level data and tree-based features | 61 |
| A toolbox for unsupervised graph-based fraud detection using multiple algorithms and techniques | 131 |
| An implementation of a graph neural network-based fraud detector designed to counter camouflaged fraudsters | 250 |
| An algorithm for detecting spam reviews using reinforcement learning to train robust detectors against strategically synthesized attacks. | 118 |
| Maps deception detection techniques to the ATT&CK framework and provides documentation for security professionals | 287 |
| Proof-of-concept project demonstrating a GitHub account hijacking vulnerability using Baidu and a specific security testing methodology. | 0 |
| A framework for detecting fraud using a novel neural network approach that learns from benign user data | 24 |
| Research on detecting bot install fraud in mobile advertising using machine learning | 1 |
| An AI-powered tool that detects whether news articles are fake or not | 8 |
| A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 557 |
| A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
| An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |