From 9028c56c643baf462d17f5d43f2354634884e747 Mon Sep 17 00:00:00 2001 From: Wenjie Du Date: Mon, 18 Mar 2024 10:49:46 +0800 Subject: [PATCH] docs: update README; --- README.md | 39 ++++++++++++++++++++++++++++++++++++--- 1 file changed, 36 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index f1ccba4..3d29a8b 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,13 @@ - BrewPOTS logo + BrewPOTS logo -

Welcome to BrewPOTS

+

Welcome to BrewPOTS

*

The tutorials help you brew Partially-Observed Time Series

* - PyPOTS logo + PyPOTS logo In this project, partially-observed time series datasets are taken as coffee beans. As you can see, there is a coffee pot in the PyPOTS logo on the left, @@ -20,6 +20,39 @@ You can tune the hyper-parameters by yourself to get better performance on the t Enjoy it! β˜•οΈ And have fun! + +## ❖ Citing BrewPOTS/PyPOTS +The paper introducing PyPOTS project is available on arXiv at [this URL](https://arxiv.org/abs/2305.18811), +and we are pursuing to publish it in prestigious academic venues, e.g. JMLR (track for +[Machine Learning Open Source Software](https://www.jmlr.org/mloss/)). If the tutorials in BrewPOTS are helpful to your work, +please cite PyPOTS project as below and 🌟star this repository to make others notice it. πŸ€— Thank you! + +

+ + + +

+ +``` bibtex +@article{du2023PyPOTS, +title={{PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series}}, +author={Wenjie Du}, +year={2023}, +eprint={2305.18811}, +archivePrefix={arXiv}, +primaryClass={cs.LG}, +url={https://arxiv.org/abs/2305.18811}, +doi={10.48550/arXiv.2305.18811}, +} +``` + +or + +> Wenjie Du. (2023). +> PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series. +> arXiv, abs/2305.18811.https://arxiv.org/abs/2305.18811 + +
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