IEEE Transactions on Cognitive and Developmental Systems最新文献

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IEEE Transactions on Cognitive and Developmental Systems Information for Authors IEEE作者认知与发展系统信息汇刊
IF 4.9 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-10-09 DOI: 10.1109/TCDS.2025.3601318
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引用次数: 0
IEEE Computational Intelligence Society Information IEEE计算智能学会信息
IF 4.9 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-10-09 DOI: 10.1109/TCDS.2025.3601316
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Publication Information IEEE认知与发展系统汇刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-06-04 DOI: 10.1109/TCDS.2025.3553651
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引用次数: 0
IEEE Computational Intelligence Society Information IEEE计算智能学会信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-06-04 DOI: 10.1109/TCDS.2025.3553653
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Information for Authors IEEE作者认知与发展系统信息汇刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-06-04 DOI: 10.1109/TCDS.2025.3553655
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Publication Information IEEE认知与发展系统汇刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-04-02 DOI: 10.1109/TCDS.2025.3537202
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Information for Authors IEEE作者认知与发展系统信息汇刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-04-02 DOI: 10.1109/TCDS.2025.3537206
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引用次数: 0
IEEE Computational Intelligence Society Information IEEE计算智能学会信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-04-02 DOI: 10.1109/TCDS.2025.3537204
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引用次数: 0
Multimodal Discriminative Network for Emotion Recognition Across Individuals 跨个体情绪识别的多模态判别网络
IF 4.9 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-03-18 DOI: 10.1109/TCDS.2025.3552124
Minxu Liu;Donghai Guan;Chuhang Zheng;Qi Zhu
{"title":"Multimodal Discriminative Network for Emotion Recognition Across Individuals","authors":"Minxu Liu;Donghai Guan;Chuhang Zheng;Qi Zhu","doi":"10.1109/TCDS.2025.3552124","DOIUrl":"https://doi.org/10.1109/TCDS.2025.3552124","url":null,"abstract":"Multimodal emotion recognition is gaining significant attention for ability to fuse complementary information from diverse physiological and behavioral signals, which benefits the understanding of emotional disorders. However, challenges arise in multimodal fusion due to uncertainties inherent in different modalities, such as complex signal coupling and modality heterogeneity. Furthermore, the feature distribution drift in intersubject emotion recognition hinders the generalization ability of the method and significantly degrades performance on new individuals. To address the above issues, we propose a cross-subject multimodal emotion robust recognition framework that effectively extracts subject-independent intrinsic emotional identification information from heterogeneous multimodal emotion data. First, we develop a multichannel network with self-attention and cross-attention mechanisms to capture modality-specific and complementary features among different modalities, respectively. Second, we incorporate contrastive loss into the multichannel attention network to enhance feature extraction across different channels, thereby facilitating the disentanglement of emotion-specific information. Moreover, a self-expression learning-based network layer is devised to enhance feature discriminability and subject alignment. It aligns samples in a discriminative space using block diagonal matrices and maps multiple individuals to a shared subspace using a block off-diagonal matrix. Finally, attention is used to merge multichannel features, and multilayer perceptron is employed for classification. Experimental results on multimodal emotion datasets confirm that our proposed approach surpasses the current state-of-the-art in terms of emotion recognition accuracy, with particularly significant gains observed in the challenging cross-subject multimodal recognition scenarios.","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"17 5","pages":"1323-1335"},"PeriodicalIF":4.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145255983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Editorial: 2025 New Year Message From the Editor-in-Chief 社论:总编辑2025年新年贺词
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2025-02-06 DOI: 10.1109/TCDS.2025.3533704
Huajin Tang
{"title":"Editorial: 2025 New Year Message From the Editor-in-Chief","authors":"Huajin Tang","doi":"10.1109/TCDS.2025.3533704","DOIUrl":"https://doi.org/10.1109/TCDS.2025.3533704","url":null,"abstract":"","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"17 1","pages":"2-2"},"PeriodicalIF":5.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10877686","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143361050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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