ZebinYang · Nov 16, 2020 · Nov 16, 2020 · Nov 22, 2020 · Nov 22, 2020 · Sep 5, 2021
Showing with 14 additions and 28 deletions.

+14 −28 README.md
diff --git a/README.md b/README.md
@@ -1,39 +1,16 @@
-# Enhanced Explainable-Neural-Networks
+# ExNN: Enhanced Explainable Neural Networks
 
 ## Installation 
 
-### Prerequisite
-
 The following environments are required:
 
 - Python 3.7 (anaconda is preferable)
 - tensorflow 2.0
 
-
-### Github Installation
-
-You can install the package by the following console command:
-
 ```shell
-pip install git+https://github.com/zebinyang/exnn.git
+pip install git+https://github.com/SelfExplainML/exnn.git
 ```
         
-### Manual Installation
-
-If git is not available, you can manually install the package by downloading the source codes and then compiling it by hand:
-
-- Download the source codes from https://github.com/ZebinYang/exnn.git.
-
-- unzip and switch to the root folder.
-
-- Run the following shell commands to finish installation.
-
-```shell
-pip install -r requirements.txt
-python setup.py install
-```
-
-
 ## Usage
 
 ```python
@@ -117,7 +94,16 @@ model.fit(train_x, train_y)
 model.visualize("./", "exnn_demo")
 ```
 
-References
+Citations
 ----------
-Yang, Zebin, Aijun Zhang, and Agus Sudjianto. "Enhancing Explainability of
-Neural Networks through Architecture Constraints."
+Yang, Zebin, Zhang, Aijun and Sudjianto, Agus, 2020. Enhancing explainability of neural networks through architecture constraints. IEEE Transactions on Neural Networks and Learning Systems. [DOI: 10.1109/TNNLS.2020.3007259](https://doi.org/10.1109/TNNLS.2020.3007259)
+
+```latex
+@article{yang2020enhancing,
+  title={Enhancing explainability of neural networks through architecture constraints},
+  author={Yang, Zebin and Zhang, Aijun and Sudjianto, Agus},
+  journal={IEEE Transactions on Neural Networks and Learning Systems},
+  year={2020},
+  publisher={IEEE}
+}
+```