deploy: afa0ad8

Author: cmihaigabriel

bib/index.html

@@ -207,11 +207,13 @@ <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 1176 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 1193 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="watcharasupat2025uncertainty">Watcharasupat, K. N., Ding, Y., Ma, T. A., Seshadri, P., &amp; Lerch, A. (2025). Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition. <i>European Conference on Information Retrieval</i>, 218–232.</span></li>
+<ul class="bibliography"><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>
+<li><span id="harini2025long">Harini, S. I., Singh, S., Singla, Y. K., Bhattacharyya, A., Baths, V., Chen, C., Shah, R. R., &amp; Krishnamurthy, B. (2025). Long-Term Ad Memorability: Understanding &amp; Generating Memorable Ads. <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 5707–5718.</span></li>
+<li><span id="watcharasupat2025uncertainty">Watcharasupat, K. N., Ding, Y., Ma, T. A., Seshadri, P., &amp; Lerch, A. (2025). Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition. <i>European Conference on Information Retrieval</i>, 218–232.</span></li>
 <li><span id="kumar2025seeing">Kumar, P., Khandelwal, E., Tapaswi, M., &amp; Sreekumar, V. (2025). Seeing Eye to AI: Comparing human gaze and model attention in video memorability. <i>2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</i>, 2082–2091.</span></li>
 <li><span id="kang2025towards">Kang, J., &amp; Herremans, D. (2025). Towards Unified Music Emotion Recognition across Dimensional and Categorical Models. <i>ArXiv Preprint ArXiv:2502.03979</i>.</span></li>
 <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>
@@ -220,6 +222,21 @@ <h2 class="subtitle">Bibliography</h2>
 <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="ekbal2024recent">Ekbal, A., &amp; Kumari, R. (2024). Recent Advancements in Misinformation Detection. In <i>Dive into Misinformation Detection: From Unimodal to Multimodal and Multilingual Misinformation Detection</i> (pp. 17–39). Springer.</span></li>
+<li><span id="10862710">Juma-Ang, C. S., Torre, N. A., &amp; Bandalan, C. (2024). Music Emotion Recognition Using Ensemble Learning. <i>2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)</i>, 289–295. https://doi.org/10.1109/COMNETSAT63286.2024.10862710</span></li>
+<li><span id="ekbal2024novelty">Ekbal, A., &amp; Kumari, R. (2024). Novelty and Emotion in Multimodal Misinformation Detection. In <i>Dive into Misinformation Detection: From Unimodal to Multimodal and Multilingual Misinformation Detection</i> (pp. 109–128). Springer.</span></li>
+<li><span id="zhang2024imafd">Zhang, Z., Angelov, P., Kangin, D., &amp; Longépé, N. (2024). IMAFD: An interpretable multi-stage approach to flood detection from time series multispectral data. <i>ArXiv Preprint ArXiv:2405.07916</i>.</span></li>
+<li><span id="ji2024mlg">Ji, X., Dong, Z., Zhou, G., Lai, C. S., &amp; Qi, D. (2024). MLG-NCS: Multimodal local–global neuromorphic computing system for affective video content analysis. <i>IEEE Transactions on Systems, Man, and Cybernetics: Systems</i>, <i>54</i>(8), 5137–5149.</span></li>
+<li><span id="kale2024violence">Kale, S. (2024). Violence Detection Through Surveillance Videos Using Combination of VGG16 and LSTM. <i>2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)</i>, 1–5.</span></li>
+<li><span id="schaab2024joint">Schaab, L., &amp; Kruspe, A. (2024). Joint sentiment analysis of lyrics and audio in music. <i>ArXiv Preprint ArXiv:2405.01988</i>.</span></li>
+<li><span id="mehmood2024named">Mehmood, A., Zamir, M. T., Ayub, M. A., Ahmad, N., &amp; Ahmad, K. (2024). A named entity recognition and topic modeling-based solution for locating and better assessment of natural disasters in social media. <i>ArXiv Preprint ArXiv:2405.00903</i>.</span></li>
+<li><span id="zhu2024multimodal">Zhu, P., Hua, J., Tang, K., Tian, J., Xu, J., &amp; Cui, X. (2024). Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion. <i>Complex &amp; Intelligent Systems</i>, <i>10</i>(4), 5851–5863.</span></li>
+<li><span id="zhou2024clip">Zhou, Y., Pang, A., &amp; Yu, G. (2024). Clip-GCN: an adaptive detection model for multimodal emergent fake news domains. <i>Complex &amp; Intelligent Systems</i>, <i>10</i>(4), 5153–5170.</span></li>
+<li><span id="shelke2024exploring">Shelke, S., &amp; Patil, M. (2024). Exploring machine learning techniques for music emotion classification: A comprehensive review. <i>2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)</i>, 1188–1195.</span></li>
+<li><span id="kumar2024behavior">Kumar, Y. (2024). <i>Behavior as a Modality</i> [PhD thesis]. State University of New York at Buffalo.</span></li>
+<li><span id="gao2024knowledge">Gao, X., Wang, X., Chen, Z., Zhou, W., &amp; Hoi, S. C. H. (2024). Knowledge enhanced vision and language model for multi-modal fake news detection. <i>IEEE Transactions on Multimedia</i>, <i>26</i>, 8312–8322.</span></li>
+<li><span id="gu2024detecting">Gu, Y., Castro, I., &amp; Tyson, G. (2024). Detecting Multimodal Fake News with Gated Variational AutoEncoder. <i>Proceedings of the 16th ACM Web Science Conference</i>, 129–138.</span></li>
+<li><span id="ghasemizade2024computational">Ghasemizade, M. (2024). <i>A Computational Journey Through Conspiracy Theories: A Genealogical Approach</i>. The University of Vermont and State Agricultural College.</span></li>
 <li><span id="xie2024integrating">Xie, A., Zhu, F., Han, J., &amp; Hu, S. (2024). Integrating open-domain knowledge via large language model for multimodal fake news detection. <i>2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)</i>, 1917–1922.</span></li>
 <li><span id="hua2024impact">Hua, V., Nguyen, T., Dao, M.-S., Nguyen, H. D., &amp; Nguyen, B. T. (2024). The impact of data imputation on air quality prediction problem. <i>Plos One</i>, <i>19</i>(9), e0306303.</span></li>
 <li><span id="zhao2024robust">Zhao, Z., Alzubaidi, L., Zhang, J., Duan, Y., Naseem, U., &amp; Gu, Y. (2024). Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. <i>ArXiv Preprint ArXiv:2407.06566</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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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="2025-10-24T15:53:16+00:00" />
+<meta property="article:published_time" content="2025-10-24T15:59:19+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":"2025-10-24T15:53:16+00:00","datePublished":"2025-10-24T15:53:16+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":"2025-10-24T15:59:19+00:00","datePublished":"2025-10-24T15:59:19+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 -->