IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things
Jian ChenGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, ChinaYuzhu HuGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, ChinaQifeng LaiGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, ChinaWei WangGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, ChinaJunxin ChenGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, ChinaHan LiuSchool of Software, Dalian University of Technology, Dalian, 116024, Liaoning, ChinaGautam SrivastavaDepartment of Math and Computer Science, Brandon University, R7A 6A9, CanadaAli Kashif BashirDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonXiping HuGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, 518172, Guangdong, China
2023en
ABI
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