IEEE Transactions on Affective Computing最新文献

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Scale-Selectable Global Information and Discrepancy Learning Network for Multimodal Sentiment Analysis 多模态情感分析的尺度可选全局信息和差异学习网络
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-18 DOI: 10.1109/taffc.2025.3580779
Xiaojiang He, Yushan Pan, Xinfei Guo, Zhijie Xu, Chenguang Yang
{"title":"Scale-Selectable Global Information and Discrepancy Learning Network for Multimodal Sentiment Analysis","authors":"Xiaojiang He, Yushan Pan, Xinfei Guo, Zhijie Xu, Chenguang Yang","doi":"10.1109/taffc.2025.3580779","DOIUrl":"https://doi.org/10.1109/taffc.2025.3580779","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"15 1","pages":"1-15"},"PeriodicalIF":11.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How to Enhance Causal Discrimination of Emotional Utterances: a Case on LLMs 如何加强情绪话语的因果辨析:以法学硕士为例
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-18 DOI: 10.1109/taffc.2025.3580755
Xinyu Yang, Daiying Zhao, Hang Chen, Keqing Du
{"title":"How to Enhance Causal Discrimination of Emotional Utterances: a Case on LLMs","authors":"Xinyu Yang, Daiying Zhao, Hang Chen, Keqing Du","doi":"10.1109/taffc.2025.3580755","DOIUrl":"https://doi.org/10.1109/taffc.2025.3580755","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"21 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Discourse Structure- and Interlocutor-Guided Network for Dialogue Act Recognition and Sentiment Classification 基于话语结构和对话者导向的对话行为识别和情感分类网络
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-18 DOI: 10.1109/taffc.2025.3580818
Yunhe Xie, Rui Mao, Wei Li, Atika Qazi, Erik Cambria
{"title":"A Discourse Structure- and Interlocutor-Guided Network for Dialogue Act Recognition and Sentiment Classification","authors":"Yunhe Xie, Rui Mao, Wei Li, Atika Qazi, Erik Cambria","doi":"10.1109/taffc.2025.3580818","DOIUrl":"https://doi.org/10.1109/taffc.2025.3580818","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"40 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TAHAG: Two-Stage Domain Adaptation with Hybrid Adaptive Graph Learning for EEG Emotion Recognition 基于混合自适应图学习的两阶段域自适应脑电情绪识别
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-18 DOI: 10.1109/taffc.2025.3580787
Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, Daoqiang Zhang
{"title":"TAHAG: Two-Stage Domain Adaptation with Hybrid Adaptive Graph Learning for EEG Emotion Recognition","authors":"Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, Daoqiang Zhang","doi":"10.1109/taffc.2025.3580787","DOIUrl":"https://doi.org/10.1109/taffc.2025.3580787","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"30 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144320044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition 基于脑电图的多视点自监督域自适应情感识别
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-13 DOI: 10.1109/taffc.2025.3574868
Lu Zhang, Hanwen Shi, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu
{"title":"Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition","authors":"Lu Zhang, Hanwen Shi, Ziyi Li, Wei-Long Zheng, Bao-Liang Lu","doi":"10.1109/taffc.2025.3574868","DOIUrl":"https://doi.org/10.1109/taffc.2025.3574868","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"7 1","pages":"1-13"},"PeriodicalIF":11.2,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Knowledge Distillation-Based Approach to Speech Emotion Recognition 基于知识提取的语音情感识别方法
IF 9.8 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-04 DOI: 10.1109/TAFFC.2025.3574178
Ziping Zhao;Jixin Liu;Haishuai Wang;Danushka Bandara;Jianhua Tao
{"title":"A Knowledge Distillation-Based Approach to Speech Emotion Recognition","authors":"Ziping Zhao;Jixin Liu;Haishuai Wang;Danushka Bandara;Jianhua Tao","doi":"10.1109/TAFFC.2025.3574178","DOIUrl":"10.1109/TAFFC.2025.3574178","url":null,"abstract":"Due to rapid advancements in deep learning, Transformer-based architectures have proven effective in speech emotion recognition (SER), largely due to their ability to model long-term dependencies more effectively than recurrent networks. The current Transformer architecture is not well-suited for SER because its large parameter number demands significant computational resources, making it less feasible in environments with limited resources. Furthermore, its application to SER is limited because human emotions, which are expressed in long segments of continuous speech, are inherently complex and ambiguous. Therefore, designing specialized Transformer models tailored for SER is essential. To address these challenges, we propose a novel knowledge distillation framework that combines meta-knowledge and curriculum-based distillation. Specifically, we fine-tune the teacher model to optimize it for the SER task. For the student model, we embed individual sequence time points into variable tokens, which are used to aggregate the global speech representation. Additionally, we combine supervised contrastive and cross-entropy loss to increase the inter-class distance between learnable features. Finally, we optimize the student model using both meta-knowledge and the curriculum-based distillation framework. Experimental results on two benchmark datasets, IEMOCAP and MELD, demonstrate that our method performs competitively with state-of-the-art approaches in SER.","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"16 3","pages":"1307-1317"},"PeriodicalIF":9.8,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144219294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting Signs of Depression Using Social Media Texts through an Ensemble of Ensemble Classifiers 通过集成分类器集合检测使用社交媒体文本的抑郁迹象
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-03 DOI: 10.1109/taffc.2025.3571749
Raymond Chionga, Gregorius Satia Budhib, Erik Cambriac
{"title":"Detecting Signs of Depression Using Social Media Texts through an Ensemble of Ensemble Classifiers","authors":"Raymond Chionga, Gregorius Satia Budhib, Erik Cambriac","doi":"10.1109/taffc.2025.3571749","DOIUrl":"https://doi.org/10.1109/taffc.2025.3571749","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"31 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Public Opinion Crisis Management Via Social Media Mining 基于社交媒体挖掘的舆论危机管理
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-03 DOI: 10.1109/taffc.2025.3576134
Yu Ma, Rui Mao, Peng Wu, Erik Cambria
{"title":"Public Opinion Crisis Management Via Social Media Mining","authors":"Yu Ma, Rui Mao, Peng Wu, Erik Cambria","doi":"10.1109/taffc.2025.3576134","DOIUrl":"https://doi.org/10.1109/taffc.2025.3576134","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"14 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seismocardiography for Emotion Recognition: A Study on EmoWear With Insights From DEAP 用于情绪识别的地震心动图:基于DEAP的EmoWear研究
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-02 DOI: 10.1109/taffc.2025.3575281
Mohammad Hasan Rahmani, Rafael Berkvens, Maarten Weyn
{"title":"Seismocardiography for Emotion Recognition: A Study on EmoWear With Insights From DEAP","authors":"Mohammad Hasan Rahmani, Rafael Berkvens, Maarten Weyn","doi":"10.1109/taffc.2025.3575281","DOIUrl":"https://doi.org/10.1109/taffc.2025.3575281","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"38 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144202018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Could Micro-Expressions be Quantified? Electromyography Gives Affirmative Evidence 微表情可以量化吗?肌电图给出肯定的证据
IF 11.2 2区 计算机科学
IEEE Transactions on Affective Computing Pub Date : 2025-06-02 DOI: 10.1109/taffc.2025.3575127
Jingting Li, Shaoyuan Lu, Yan Wang, Zizhao Dong, Su-Jing Wang, Xiaolan Fu
{"title":"Could Micro-Expressions be Quantified? Electromyography Gives Affirmative Evidence","authors":"Jingting Li, Shaoyuan Lu, Yan Wang, Zizhao Dong, Su-Jing Wang, Xiaolan Fu","doi":"10.1109/taffc.2025.3575127","DOIUrl":"https://doi.org/10.1109/taffc.2025.3575127","url":null,"abstract":"","PeriodicalId":13131,"journal":{"name":"IEEE Transactions on Affective Computing","volume":"4 1","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144202017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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