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2025	Survey on Deep Learning for Misinformation Detection: Adapting to Recent Events, Multilingual Challenges, and Future Visions Social Science Computer Review Ansam Khraisat, Manisha, Lennon Chang, Jemal Abawajy
2025	Enhancing Early Alzheimer's Disease Detection Through Big Data and Ensemble Few-Shot Learning IEEE Journal of Biomedical and Health Informatics Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa
2025	Rumor detection for emergency events via few-shot ensembled prompt learning Journal of Intelligent Information Systems Chen Su, Junkang Zhou, Zhentao Jiang, Shuwei Zhu, Chao Li, Wei Fang, Heng-yang Lu
2025	From screens to scenes: A survey of embodied AI in healthcare Information Fusion Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	Improving multimodal fake news detection by leveraging cross-modal content correlation Information Processing & Management Jiao Qiao, Xianghua Li, Chao Gao, Lianwei Wu, Junwei Feng, Zhen Wang
2025	A Survey of Multimodal Fake News Detection: A Cross-Modal Interaction Perspective IEEE Transactions on Emerging Topics in Computational Intelligence Xianghua Li, Jiao Qiao, Shu Yin, Lianwei Wu, Chao Gao, Zhen Wang, Xuelong Li
2024	Meta-learning in Healthcare: A Survey SN Computer Science Alireza Rafiei, Ronald Moore, Sina Jahromi, Farshid Hajati, Rishikesan Kamaleswaran
2024	Network Rumor Detection Using Attention Mechanism and BiGRU Neural Network in Big Data Environment Journal of Circuits, Systems and Computers Sida Yuan, Qiong Yang
2024	Predicting and analyzing the popularity of false rumors in Weibo Expert Systems with Applications Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras
2024	FSRD: few-shot fuzzy rumor detection system with stance-enhanced prompt learning Soft Computing Hao Li, Wu Yang, Huanran Wang, Wei Wang
2024	Detecting rumors in social media using emotion based deep learning approach PeerJ Computer Science Drishti Sharma, Abhishek Srivastava
2023	A metric-learning method for few-shot cross-event rumor detection Neurocomputing Hongyan Ran, Caiyan Jia, Jian Yu
2023	Advancements in Rumor Detection Research Based on Bibliometrics and S-curve Technology Evolution Theory Sage Open Jianbo Zhao, Huailiang Liu, Shanzhuang Zhang, Yanwei Qi, Haiping Dong, Xiaojin Zhang, Weili Zhang
2022	A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques Computational Intelligence and Neuroscience Rubia Fatima, Naila Samad Shaikh, Adnan Riaz, Sadique Ahmad, Mohammed A. El-Affendi, Khaled A. Z. Alyamani, Muhammad Nabeel, Javed Ali Khan, Affan Yasin, Rana M. Amir Latif
2022	A Few-Shot Learning Approach Assists in the Prognosis Prediction of Magnetic Resonance-Guided Focused Ultrasound for the Local Control of Bone Metastatic Lesions Cancers Fang-Chi Hsu, Hsin-Lun Lee, Yin-Ju Chen, Yao-An Shen, Yi-Chieh Tsai, Meng-Huang Wu, Chia-Chun Kuo, Long-Sheng Lu, Shauh-Der Yeh, Wen-Sheng Huang, Chia-Ning Shen, Jeng-Fong Chiou
2022	A deep neural networks-based fusion model for COVID-19 rumor detection from online social media Data Technologies and Applications Heng-yang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang
2022	2022 IEEE International Conference on Big Data (Big Data) Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
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