Update README.md

README.md

@@ -1,20 +1,20 @@
----
-license: cc-by-nc-4.0
-datasets:
-- DBD-research-group/BirdSet
-base_model:
-- facebook/convnext-base-224-22k
-pipeline_tag: audio-classification
-library_name: transformers
-tags:
-- audio-classification
-- audio
----
+---
+license: cc-by-nc-4.0
+datasets:
+- DBD-research-group/BirdSet
+base_model:
+- facebook/convnext-base-224-22k
+pipeline_tag: audio-classification
+library_name: transformers
+tags:
+- audio-classification
+- audio
+---
 # 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