updated PDF links

SOM-Research · Feb 2, 2024 · f34580b · f34580b
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@@ -96,9 +96,9 @@ <h3>What is HFCommunity?</h3>
                     <p>HFCommunity offers an <strong>offline up-to-date relational database</strong> built from the data available at the <a target="_blank" href="https://huggingface.co/">Hugging Face Hub</a>, thus providing queryable data about the repositories hosted in the Hub. 
                     </p>
                     <ul>
-                        <li>The tool was presented in the paper <a href="https://github.com/ademait/ademait.github.io/blob/main/papers/saner23-ademait-hfc.pdf" target="_blank"><em>HFCommunity: A Tool to Analyze the Hugging Face Hub Community</em></a>, accepted in the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (<a href="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=161008&copyownerid=174825" target="_blank">SANER 2023</a>).</li>
-                        <li>The assessment on the suitability of Hugging Face Hub for empirical studies was presented in the registered report titled <a href="https://github.com/ademait/ademait.github.io/blob/main/papers/esem23-ademait-rr.pdf" target="_blank"><em>On the Suitability of Hugging Face Hub for Empirical Studies</em></a> accepted in the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (<a href="https://conf.researchr.org/home/esem-2023" target="_blank">ESEM 2023</a>).</li>
-                        <li>The extraction process and the advances on this work are published in the journal paper <a href="https://github.com/ademait/ademait.github.io/blob/main/papers/scp24-ademait-osp.pdf" target="_blank"><em>HFCommunity: An Extraction Process and Relational Database to Analyze Hugging Face Hub Data</em></a> published in the <a href="https://doi.org/10.1016/j.scico.2024.103079" target="_blank">Science of Computer Programming</a> journal.</li>
+                        <li>The tool was presented in the paper <a href="https://ademait.es/papers/saner23-ademait-hfc.pdf" target="_blank"><em>HFCommunity: A Tool to Analyze the Hugging Face Hub Community</em></a>, accepted in the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (<a href="http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=161008&copyownerid=174825" target="_blank">SANER 2023</a>).</li>
+                        <li>The assessment on the suitability of Hugging Face Hub for empirical studies was presented in the registered report titled <a href="https://ademait.es/papers/esem23-ademait-rr.pdf" target="_blank"><em>On the Suitability of Hugging Face Hub for Empirical Studies</em></a> accepted in the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (<a href="https://conf.researchr.org/home/esem-2023" target="_blank">ESEM 2023</a>).</li>
+                        <li>The extraction process and the advances on this work are published in the journal paper <a href="https://ademait.es/papers/scp24-ademait-osp.pdf" target="_blank"><em>HFCommunity: An Extraction Process and Relational Database to Analyze Hugging Face Hub Data</em></a> published in the <a href="https://doi.org/10.1016/j.scico.2024.103079" target="_blank">Science of Computer Programming</a> journal.</li>
                     </ul>
                     <p>Thanks to HFCommunity, <strong>developers can quickly conduct analysis</strong> on projects hosted on Hugging Face Hub. 
                     </p>