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MRAC@>MM 2023: Ottawa, ON, Canada

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Shreya Ghosh, Abhinav Dhall, Dimitrios Kollias, Roland Goecke, Tom Gedeon:
Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, MRAC 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023
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Hatice Gunes:
Fairness for Affective and Wellbeing Computing. 1-2
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Jesse Hoey:
Sentiments and Bias in Automated Decision Making. 3
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Hanxu Ai, Xiaomei Tao, Yuan Zhang:
An Improved Method for Enhancing Robustness of Multimodal Sentiment Classification Models via Utilizing Modality Latent Information. 5-11
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  - conf/mrac/CaiXTWCX023
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Yunrui Cai, Jingran Xie, Boshi Tang, Yuanyuan Wang, Jun Chen, Haiwei Xue, Zhiyong Wu:
First-order Multi-label Learning with Cross-modal Interactions for Multimodal Emotion Recognition. 13-20
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Chaoyue Ding, Daoming Zong, Baoxiang Li, Ken Zheng, Dinghao Zhou, Jiakui Li, Qunyan Zhou:
Learning Aligned Audiovisual Representations for Multimodal Sentiment Analysis. 21-28
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Peter Zhuowei Gan, Arcot Sowmya, Gelareh Mohammadi:
CLIP-based Model for Effective and Explainable Apparent Personality Perception. 29-37
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Jian Jiang, Viswonathan Manoranjan, Hanan Salam, Oya Çeliktutan:
Generalised Bias Mitigation for Personality Computing. 39-50
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Hailun Lian, Cheng Lu, Sunan Li, Yan Zhao, Chuangao Tang, Yuan Zong, Wenming Zheng:
Label Distribution Adaptation for Multimodal Emotion Recognition with Multi-label Learning. 51-58
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Chayan Mondal, Duc-Son Pham, Ashu Gupta, Shreya Ghosh, Tele Tan, Tom Gedeon:
EfficienTransNet: An Automated Chest X-ray Report Generation Paradigm. 59-66
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Jingguang Tian, Desheng Hu, Xiaohan Shi, Jiajun He, Xingfeng Li, Yuan Gao, Tomoki Toda, Xinkang Xu, Xinhui Hu:
Semi-supervised Multimodal Emotion Recognition with Consensus Decision-making and Label Correction. 67-73
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Chenchen Wang, Jing Dong, Yu Sui, Ping Xu, Ying Wu, Ying Xu:
FEENN: The Feature Enhancement Embedded Neural Network for Robust Multimodal Emotion Recognition. 75-81

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