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DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition
16 references·0 citing·39 second hop
DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition (2025)DISD-Net: A Dynamic Interactive Network W…Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition (2023)Multisource Associate Domain …Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition (2023)Multi-source domain adaptatio…GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition (2023)GraphCFC: A Directed Graph Ba…Decoupled Multimodal Distilling for Emotion Recognition (2023)Decoupled Multimodal Distilli…A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)A Transformer-Based Model Wit…Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture (2022)Subject-independent EEG emoti…Subject independent emotion recognition using EEG signals employing attention driven neural networks (2022)Subject independent emotion r…GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition (2022)GMSS: Graph-Based Multi-Task …Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2022)Comparing Recognition Perform…A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition (2022)A Joint Cross-Attention Model…A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition (2022)A Dual-Branch Dynamic Graph C…MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition (2021)MS-MDA: Multisource Marginal …Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition (2021)Differences first in asymmetr…EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)EmotionMeter: A Multimodal Fr…A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition (2018)A Bi-Hemisphere Domain Advers…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition (2020)EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network (2020)Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition (2022)IEMOCAP: interactive emotional dyadic motion capture database (2008)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A Review of Key Technologies for Emotion Analysis Using Multimodal Information (2024)Fusing pairwise modalities for emotion recognition in conversations (2024)HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation (2024)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)Emotion recognition based on brain-like multimodal hierarchical perception (2023)A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)COVAREP — A collaborative voice analysis repository for speech technologies (2014)Disentangled Representation Learning for Multimodal Emotion Recognition (2022)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation (2025)Review on Emotion Recognition Based on Electroencephalography (2021)EEG-based Emotion Recognition via Transformer Neural Architecture Search (2022)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism (2022)A systematic survey on multimodal emotion recognition using learning algorithms (2023)Emotion recognition in EEG signals using deep learning methods: A review (2023)Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition (2022)PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals (2023)DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition (2023)MSFR-GCN: A Multi-Scale Feature Reconstruction Graph Convolutional Network for EEG Emotion and Cognition Recognition (2023)Self-Supervised EEG Emotion Recognition Models Based on CNN (2023)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
  • 2022Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition455 cited
  • 2018A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition391 cited
  • 2023Decoupled Multimodal Distilling for Emotion Recognition245 cited
  • 2021MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition228 cited
  • 2022GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition209 cited
  • 2023A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations182 cited
  • 2021Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition163 cited
  • 2023GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition145 cited
  • 2022Subject independent emotion recognition using EEG signals employing attention driven neural networks137 cited
  • 2022A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition135 cited
  • 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

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113 cited
  • 2023Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition111 cited
  • 2022Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture85 cited
  • 2023Multi-source domain adaptation with spatio-temporal feature extractor for EEG emotion recognition66 cited
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