ImAD-Anomaly-Detection-With-Missing-Data

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ImAD-Anomaly-Detection-With-Missing-Data

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This repository contains the source code of our ImAD method (NeurIPS 2024)

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// repository documentation

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# ImAD (Unsupervised Anomaly Detection with Missing Data)

Feng Xiao, Jicong Fan. [Unsupervised Anomaly Detection in The Presence of Missing Values. NeurIPS 2024.](https://proceedings.neurips.cc/paper_files/paper/2024/file/f99f7b22ad47fa6ce151730cf8d17911-Paper-Conference.pdf)

![ImAD Framework](https://raw.githubusercontent.com/jicongfan/ImAD-Anomaly-Detection-With-Missing-Data/main/figs/ImAD-flowchart.PNG)

## Getting Started
- `pip install requirements.txt`

## Implementation Example

- `python main.py --dataset_name arrhythmia --load_arguments arrhythmia.json`

## Citation
```
@article{xiao2024unsupervised,
  title={Unsupervised anomaly detection in the presence of missing values},
  author={Xiao, Feng and Fan, Jicong},
  journal={Advances in Neural Information Processing Systems},
  volume={37},
  pages={138130--138162},
  year={2024}
}
```

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