deploy: b354cbf

Author: cmihaigabriel

bib/index.html

@@ -207,11 +207,14 @@ <h2 class="subtitle">Bibliography</h2>
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-	<p>This bibliography contains a list of the papers that have been published using data from the Multimedia Evaluation Benchmark (MediaEval). It includes not only the papers from the proceedings of the yearly MediaEval workshop, but also conference and journal papers that have been published, as well as some theses. So far, we found 1198 papers that use data from MediaEval.</p>
+	<p>This bibliography contains a list of the papers that have been published using data from the Multimedia Evaluation Benchmark (MediaEval). It includes not only the papers from the proceedings of the yearly MediaEval workshop, but also conference and journal papers that have been published, as well as some theses. So far, we found 1201 papers that use data from MediaEval.</p>
 
 <p>If you don’t see your paper here and would like to have it included, please get in touch with Mihai Gabriel Constantin: mihai.constantin84 (at) upb.ro.</p>
 
-<ul class="bibliography"><li><span id="Byeon02102025">Byeon, H., AlMahadin, G., Bsoul, Q., Quraishi, A., Soni, M., Khan, S. R., &amp; Shabaz, M. (2025). Ambiguity learning and data correlation in multi-cross modal cyber-physical systems for detecting fake information. <i>Cyber-Physical Systems</i>, <i>11</i>(4), 488–507. https://doi.org/10.1080/23335777.2025.2467638</span></li>
+<ul class="bibliography"><li><span id="abboud2025automated">Abboud, A., &amp; Bruno, B. (2025). Automated Generation of Emotion-conveying Sounds for Robots. <i>2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)</i>, 84–93.</span></li>
+<li><span id="lin2025fake">Lin, S.-Y., Hu, Y.-H., Lee, P.-J., Zeng, Y.-H., Chang, C.-M., &amp; Chang, H.-C. (2025). Fake News Detection Model with Hybrid Features—News Text, Image, and Social Context. <i>Information Systems Frontiers</i>, 1–22.</span></li>
+<li><span id="hamidja2025constrained">Hamidja, K. B., Tokpa, F. W. R., Monsan, V., &amp; Oumtanaga, S. (2025). A constrained convolutional neural network with attention mechanism for image manipulation detection. <i>International Journal of Electrical and Computer Engineering (IJECE)</i>, <i>15</i>(2), 2304–2313.</span></li>
+<li><span id="Byeon02102025">Byeon, H., AlMahadin, G., Bsoul, Q., Quraishi, A., Soni, M., Khan, S. R., &amp; Shabaz, M. (2025). Ambiguity learning and data correlation in multi-cross modal cyber-physical systems for detecting fake information. <i>Cyber-Physical Systems</i>, <i>11</i>(4), 488–507. https://doi.org/10.1080/23335777.2025.2467638</span></li>
 <li><span id="fakhfakh2025personalized">Fakhfakh, R., Feki, G., &amp; Amar, C. B. (2025). Personalized Open-Vocabulary Image Retrieval via Semantic and SRSiM-Based Social Features. <i>Informatica</i>, <i>49</i>(9).</span></li>
 <li><span id="10908402">Ojo, A. O., Najar, F., Zamzami, N., Himdi, H. T., &amp; Bouguila, N. (2025). SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media. <i>IEEE Access</i>, <i>13</i>, 39289–39305. https://doi.org/10.1109/ACCESS.2025.3546876</span></li>
 <li><span id="app15042169">Liu, D., &amp; Zhou, Z. (2025). AdaptiveConv2d: A Novel Convolutional Module for Medical Image Segmentation. <i>Applied Sciences</i>, <i>15</i>(4). https://doi.org/10.3390/app15042169</span></li>

editions/2020/index.html

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editions/2020/tasks/fakenews/index.html

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editions/2020/tasks/floodmultimedia/index.html

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editions/2020/tasks/gamestory/index.html

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editions/2020/tasks/lifelogging/index.html

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editions/2020/tasks/medico/index.html

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editions/2020/tasks/memorability/index.html

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editions/2020/tasks/music/index.html

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