[gate-cvs] SF.net SVN: gate:[20416] gate/trunk/doc

[<gat...@us...>]

Revision: 20416
          http://sourceforge.net/p/gate/code/20416
Author:   gate-project
Date:     2025-01-06 09:59:00 +0000 (Mon, 06 Jan 2025)
Log Message:
-----------
[diana] if at first you don't succeed, keep trying until you get it published

Modified Paths:
--------------
    gate/trunk/doc/papers.html
    gate/trunk/doc/papers.yam

Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html	2024-12-20 13:21:54 UTC (rev 20415)
+++ gate/trunk/doc/papers.html	2025-01-06 09:59:00 UTC (rev 20416)
@@ -95,6 +95,10 @@
 </ul>
 
 <h2 class="cow-heading">2024</h2><h3 class="cow-heading">Journal papers</h3>
+
+<ul>
+<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard, 2025. Cross-modal augmentation for few-shot multimodal fake news detection. Engineering Applications of Artificial Intelligence, 142, 109931. <a class="cow-url" href="https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906">https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906</a></li>
+</ul>
  
 <ul>
 <li>Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. Expert Systems with Applications (Elsevier). <a class="cow-url" href="https://www.sciencedirect.com/science/article/pii/S0957417423032931">https://www.sciencedirect.com/science/article/pii/S0957417423032931</a></li>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam	2024-12-20 13:21:54 UTC (rev 20415)
+++ gate/trunk/doc/papers.yam	2025-01-06 09:59:00 UTC (rev 20416)
@@ -44,6 +44,8 @@
 
 %2* 2024
 %3* Journal papers
+
+- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard, 2025. Cross-modal augmentation for few-shot multimodal fake news detection. Engineering Applications of Artificial Intelligence, 142, 109931. %(https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906)
  
 - Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. Expert Systems with Applications (Elsevier). %(https://www.sciencedirect.com/science/article/pii/S0957417423032931)
 

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