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add links and doc references to eulaw notebook (refs #756)
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cwmeijer committed Oct 2, 2024
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Expand Up @@ -258,9 +258,10 @@ And here are links to notebooks showing how we created our models on the benchma

### Text

| Models | Generation |
| :---------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Movie reviews model](https://zenodo.org/record/5910598) | [Stanford sentiment treebank model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/movie_reviews/generate_model.ipynb) |
| Models | Generation |
|:---------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Movie reviews model](https://zenodo.org/record/5910598) | [Stanford sentiment treebank model generation](https://github.com/dianna-ai/dianna-exploration/blob/main/example_data/model_generation/movie_reviews/generate_model.ipynb) |
| [Regalatory statement classifier](https://zenodo.org/record/8200001) | [EU-law regulatory-statement-classification](https://github.com/nature-of-eu-rules/regulatory-statement-classification) |

### Time series

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Our goal is that the scientific community embrases XAI as a source for novel and unexplored perspectives on scientific problems.
Here, we offer [tutorials](./tutorials) on specific scientific use-cases of uisng XAI:

| Use-case (data) \ XAI | [RISE](http://bmvc2018.org/contents/papers/1064.pdf) | [LIME](https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf) | [KernelSHAP](https://proceedings.neurips.cc/paper/2017/file/8a20a8621978632d76c43dfd28b67767-Paper.pdf) |
| :----------------------------------------------------------------| :----------------------------------------------------| :---------------------------------------------------------------------| :-------------------------------------------------------------------------------------------------------|
| Biology (Phytomorphology): Tree Leaves classification (images) | | ✅ | |
| Astronomy: Fast Radio Burst detection (timeseries) | ✅ | | |
| Land-atmosphere modeling: Latent heat flux prediction (tabular) | | | ✅ |
| Social sciences (text) | work in progress | ... |... |
| Climate | planned | ... | ... |
| Use-case (data) \ XAI | [RISE](http://bmvc2018.org/contents/papers/1064.pdf) | [LIME](https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf) | [KernelSHAP](https://proceedings.neurips.cc/paper/2017/file/8a20a8621978632d76c43dfd28b67767-Paper.pdf) |
|:-------------------------------------------------------------------|:-----------------------------------------------------| :---------------------------------------------------------------------| :-------------------------------------------------------------------------------------------------------|
| Biology (Phytomorphology): Tree Leaves classification (images) | | ✅ | |
| Astronomy: Fast Radio Burst detection (timeseries) | ✅ | | |
| Land-atmosphere modeling: Latent heat flux prediction (tabular) | | | ✅ |
| Social sciences: EU-law regulatory statement classification (text) | | ✅ | |
| Climate | planned | ... | ... |

## Reference documentation

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