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Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition
16 references·0 citing·34 second hopsampled
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition (2024)Multi-source Selective Graph Domain Adapt…MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition (2021)MS-MDA: Multisource Marginal …EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG-Based Emotion Recognition…SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG (2019)SAE+LSTM: A New Framework for…Measuring shared responses across subjects using intersubject correlation (2019)Measuring shared responses ac…From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition (2019)From Regional to Global Brain…Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity (2019)Domain Adaptation for EEG Emo…Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)Spatial–Temporal Recurrent Ne…EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)EmotionMeter: A Multimodal Fr…EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EEG Emotion Recognition Using…Cross-Subject Emotion Recognition Using Deep Adaptation Networks (2018)Cross-Subject Emotion Recogni…A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition (2018)A Bi-Hemisphere Domain Advers…Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition (2016)Unsupervised domain adaptatio…Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network (2016)Emotion recognition from mult…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …EEG-Based Emotion Recognition in Music Listening (2010)EEG-Based Emotion Recognition…A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)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)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition based on physiological changes in music listening (2008)A Review of Emotion Recognition Using Physiological Signals (2018)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Differential entropy feature for EEG-based emotion classification (2013)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)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)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Emotion recognition in human-computer interaction (2001)Mechanism Design via Differential Privacy (2007)Measures of emotion: A review (2009)3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition (2021)Emotion recognition in EEG signals using deep learning methods: A review (2023)Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations (2000)Brain-to-brain coupling: a mechanism for creating and sharing a social world (2012)Toward a second-person neuroscience (2013)Neural signatures of attentional engagement during narratives and its consequences for event memory (2021)Interbrain synchrony: on wavy ground (2022)Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament (1996)A systematic review on affective computing: emotion models, databases, and recent advances (2022)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)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks2,616 cited
  • 2018EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks1,605 cited
  • 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
  • 2010EEG-Based Emotion Recognition in Music Listening1,023 cited
  • 2020EEG-Based Emotion Recognition Using Regularized Graph Neural Networks914 cited
  • 2018Spatial–Temporal Recurrent Neural Network for Emotion Recognition595 cited
  • 2019Measuring shared responses across subjects using intersubject correlation412 cited
  • 2018A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition391 cited
  • 2019From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition316 cited
  • 2016Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network307 cited
  • 2019Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity292 cited
  • 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG269 cited
  • 2021MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition

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228 cited
  • 2018Cross-Subject Emotion Recognition Using Deep Adaptation Networks215 cited
  • 2016Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition169 cited
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