deploy: 8c298f9

Author: cmihaigabriel

bib/index.html

@@ -207,14 +207,20 @@ <h2 class="subtitle">Bibliography</h2>
   </header>
   <section class="post-content">
 
-	<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 1156 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 1163 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="flaccavento:hal-04876532">Flaccavento, A., Peskine, Y., Papotti, P., Torlone, R., &amp; Troncy, R. (2025, January). Automated Detection of Tropes In Short Texts. <i>COLING 2025, 31st International Conference on Computational Linguistics</i>. https://hal.science/hal-04876532</span></li>
+<ul class="bibliography"><li><span id="YU2025104301">Yu, K., Jiao, S., &amp; Ma, Z. (2025). Fake News Detection Based on BERT Multi-domain and Multi-modal Fusion Network. <i>Computer Vision and Image Understanding</i>, <i>252</i>, 104301. https://doi.org/https://doi.org/10.1016/j.cviu.2025.104301</span></li>
+<li><span id="zheng-etal-2025-unveiling">Zheng, X., Luo, M., &amp; Wang, X. (2025). Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. D. Eugenio, &amp; S. Schockaert (Eds.), <i>Proceedings of the 31st International Conference on Computational Linguistics</i> (pp. 7862–7869). Association for Computational Linguistics. https://aclanthology.org/2025.coling-main.526/</span></li>
+<li><span id="flaccavento:hal-04876532">Flaccavento, A., Peskine, Y., Papotti, P., Torlone, R., &amp; Troncy, R. (2025, January). Automated Detection of Tropes In Short Texts. <i>COLING 2025, 31st International Conference on Computational Linguistics</i>. https://hal.science/hal-04876532</span></li>
 <li><span id="fong2025theory">Fong, H., Kumar, V., &amp; Sudhir, K. (2025). A theory-based explainable deep learning architecture for music emotion. <i>Marketing Science</i>, <i>44</i>(1), 196–219.</span></li>
 <li><span id="wang2025fake">Wang, X., Meng, J., Zhao, D., Meng, X., &amp; Sun, H. (2025). Fake news detection based on multi-modal domain adaptation. <i>Neural Computing and Applications</i>, <i>37</i>(7), 5781–5793.</span></li>
 <li><span id="qiang2025mle">Qiang, R., Zhuang, Y., Singh, A., Liang, P., Zhang, C., Yang, S., &amp; Dai, B. (2025). MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline. <i>ArXiv Preprint ArXiv:2510.07307</i>.</span></li>
+<li><span id="kuntur2024under">Kuntur, S., Wróblewska, A., Paprzycki, M., &amp; Ganzha, M. (2024). Under the influence: A survey of large language models in fake news detection. <i>IEEE Transactions on Artificial Intelligence</i>.</span></li>
+<li><span id="zeng2024multimodal">Zeng, F., Li, W., Gao, W., &amp; Pang, Y. (2024). Multimodal misinformation detection by learning from synthetic data with multimodal LLMs. <i>ArXiv Preprint ArXiv:2409.19656</i>.</span></li>
+<li><span id="anggrainingsih2024transformer">Anggrainingsih, R., Hassan, G. M., &amp; Datta, A. (2024). Transformer-based models for combating rumours on microblogging platforms: a review. <i>Artificial Intelligence Review</i>, <i>57</i>(8), 212.</span></li>
+<li><span id="rosso2024xai">Rosso, P., Chulvi, B., Korenčić, D., Taulé, M., Casals, X. B., Camacho, D., Panizo, A., Arroyo, D., Gómez, J., &amp; Rangel, F. (2024). <i>XAI-DisInfodemics: eXplainable AI for disinformation and conspiracy detection during infodemics</i>.</span></li>
 <li><span id="shan2024fake">Shan, F., Liu, M., Zhang, M., &amp; Wang, Z. (2024). Fake News Detection Based on Cross-Modal Message Aggregation and Gated Fusion Network. <i>Computers, Materials &amp; Continua</i>, <i>80</i>(1).</span></li>
 <li><span id="oak2024novel">Oak, O., Nazre, R., Naigaonkar, S., Sawant, S., &amp; Joshi, A. (2024). A novel transfer learning based cnn model for wildfire susceptibility prediction. <i>2024 5th International Conference for Emerging Technology (INCET)</i>, 1–6.</span></li>
 <li><span id="fraile2024automatic">Fraile-Hernandez, J. M., Peńas, A., &amp; Moral, P. (2024). Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation. <i>IEEE Access</i>, <i>13</i>, 11734–11753.</span></li>
@@ -1362,6 +1368,7 @@ <h2 class="subtitle">Bibliography</h2>
 <li><span id="mediaeval00085">Alink, W., &amp; Cornacchia, R. (2011). Out-of-the-box strategy for Rich Speech Retrieval MediaEval 2011. <i>MediaEval Working Notes Proceedings</i>.</span></li>
 <li><span id="mediaeval00086">Eskevich, M., &amp; Jones, G. J. F. (2011). DCU at MediaEval 2011: Rich Speech Retrieval (RSR). <i>MediaEval Working Notes Proceedings</i>.</span></li>
 <li><span id="mediaeval00087">Ionescu, B., Seyerlehner, K., Vertan, C., &amp; Lambert, P. (2011). Audio-Visual content description for video genre classification in the context of social media. <i>MediaEval Working Notes Proceedings</i>.</span></li>
+<li><span id="cuzaempirical">CUZA, D. A. N. I. E. L. A. <i>An Empirical Study on Segmentation Methods with Deep Ensembles and Data Augmentation</i>.</span></li>
 <li><span id="kimhierarchical">Kim, Y. S., Jang, J. W., &amp; Kim, C. S. <i>Hierarchical Image Geolocalization Using ViT-based Encoders and Satellite Map Images</i>.</span></li>
 <li><span id="bassmandetecting">Bassman, T. J., Hanif, U., &amp; Xia, E. <i>Detecting Flooding in Social Media Imagery Using Multimodal Deep Learning</i>.</span></li>
 <li><span id="ahmadmodified">Ahmad, A., Badshah, N., &amp; Hassan, M. U. <i>A Modified Memory-Efficient U-Net for Segmentation of Polyps</i>.</span></li>

editions/2020/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="MediaEval 2020" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"The MediaEval Multimedia Evaluation benchmark offers tasks that are related to multimedia retrieval, analysis, and exploration. Participation is open to interested researchers who register. MediaEval focuses specifically on the human and social aspects of multimedia, and on multimedia systems that serve users. They offer the opportunity for researchers to tackle challenges that bring together multiple modalities (visual, text, music, sensor data).","headline":"MediaEval 2020","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/"},"url":"https://multimediaeval.github.io/editions/2020/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"The MediaEval Multimedia Evaluation benchmark offers tasks that are related to multimedia retrieval, analysis, and exploration. Participation is open to interested researchers who register. MediaEval focuses specifically on the human and social aspects of multimedia, and on multimedia systems that serve users. They offer the opportunity for researchers to tackle challenges that bring together multiple modalities (visual, text, music, sensor data).","headline":"MediaEval 2020","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/"},"url":"https://multimediaeval.github.io/editions/2020/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/fakenews/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="FakeNews: Corona virus and 5G conspiracy" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"FakeNews: Corona virus and 5G conspiracy","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/fakenews/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/fakenews/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"FakeNews: Corona virus and 5G conspiracy","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/fakenews/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/fakenews/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/floodmultimedia/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="Flood-related Multimedia" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Flood-related Multimedia","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/floodmultimedia/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/floodmultimedia/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Flood-related Multimedia","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/floodmultimedia/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/floodmultimedia/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/gamestory/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="Emotional Mario: Believable AI agents in video games" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Emotional Mario: Believable AI agents in video games","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/gamestory/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/gamestory/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Emotional Mario: Believable AI agents in video games","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/gamestory/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/gamestory/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/lifelogging/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="Insight for Wellbeing: Multimodal personal health lifelog data analysis" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Insight for Wellbeing: Multimodal personal health lifelog data analysis","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/lifelogging/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/lifelogging/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Insight for Wellbeing: Multimodal personal health lifelog data analysis","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/lifelogging/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/lifelogging/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/medico/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="Medico" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Medico","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/medico/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/medico/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Medico","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/medico/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/medico/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->

editions/2020/tasks/memorability/index.html

@@ -33,12 +33,12 @@
 <meta property="og:site_name" content="MediaEval Benchmark" />
 <meta property="og:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="og:type" content="article" />
-<meta property="article:published_time" content="2025-10-24T15:39:11+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:46:00+00:00" />
 <meta name="twitter:card" content="summary_large_image" />
 <meta property="twitter:image" content="https://multimediaeval.github.io/assets/img/twitter-card.png" />
 <meta property="twitter:title" content="Predicting Media Memorability" />
 <script type="application/ld+json">
-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:39:11+00:00","datePublished":"2025-10-24T15:39:11+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Predicting Media Memorability","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/memorability/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/memorability/"}</script>
+{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2025-10-24T15:46:00+00:00","datePublished":"2025-10-24T15:46:00+00:00","description":"See the MediaEval 2020 webpage for information on how to register and participate.","headline":"Predicting Media Memorability","image":"https://multimediaeval.github.io/assets/img/twitter-card.png","mainEntityOfPage":{"@type":"WebPage","@id":"https://multimediaeval.github.io/editions/2020/tasks/memorability/"},"url":"https://multimediaeval.github.io/editions/2020/tasks/memorability/"}</script>
 <!-- End Jekyll SEO tag -->
 
   <!-- Manual seo tags -->