Update README.md

README.md

@@ -12,9 +12,9 @@ tags:
 ---
 # AudioProtoPNet: An Interpretable Deep Learning Model for Bird Sound Classification
 
-## Model Description
 
-### Abstract
+
+## Abstract
 
 Deep learning models have significantly advanced acoustic bird monitoring by recognizing numerous bird species
 based on their vocalizations. However, traditional deep learning models are often "black boxes," providing
@@ -32,6 +32,10 @@ During inference, recordings are classified by comparing them to learned prototy
 providing explanations for the model's decisions and insights into the most informative embeddings of each
 bird species.
 
+- **Paper**: [Elsevier](www.sciencedirect.com/science/article/pii/S1574954125000901)
+
+## Model Description
+
 ### Training Data
 
 The model was trained on the **BirdSet training dataset**, which comprises 9734 bird species and over 6800
@@ -93,7 +97,7 @@ and top-1 accuracy scores.
 |                   | AUROC   | 0.84   | 0.70   | 0.90   | 0.76   | 0.86   | 0.91   | 0.91   | 0.83   | 0.84   |
 |                   | T1-Acc  | 0.85   | 0.48   | **0.66** | **0.57** | 0.58   | 0.69   | 0.62   | 0.69   | 0.61   |
 
-## Usage
+## Example
 
 This model can be easily loaded and used for inference with the `transformers` library.