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MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition
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MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition (2024)MAST-GCN: Multi-Scale Adaptive Spatial-Te…DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection (2024)DepMSTAT: Multimodal Spatio-T…TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)TSception: Capturing Temporal…MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection (2022)MS²-GNN: Exploring GNN-Based …LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection (2022)LSDD-EEGNet: An efficient end…MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)MFCC-based Recurrent Neural N…Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers (2021)Introducing Attention Mechani…Spectral Representation of Behaviour Primitives for Depression Analysis (2020)Spectral Representation of Be…Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Multimodal Spatiotemporal Rep…Interpretation of Depression Detection Models via Feature Selection Methods (2020)Interpretation of Depression …EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG-Based Emotion Recognition…AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)AVEC 2019 Workshop and Challe…EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EEG Emotion Recognition Using…A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data (2018)A Case-Based Reasoning Model …Emotions Recognition Using EEG Signals: A Survey (2017)Emotions Recognition Using EE…Frontal alpha EEG asymmetry before and after behavioral activation treatment for depression (2014)Frontal alpha EEG asymmetry b…Measurement Reliability and Validity (2000)Measurement Reliability and V…Development and validation of brief measures of positive and negative affect: The PANAS scales. 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References

  • 2000Measurement Reliability and Validity2,539 cited
  • 2018EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks1,605 cited
  • 2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
  • 2020EEG-Based Emotion Recognition Using Regularized Graph Neural Networks914 cited
  • 2022TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition440 cited
  • 2019AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition407 cited
  • 2021MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech290 cited
  • 2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection172 cited
  • 2014Frontal alpha EEG asymmetry before and after behavioral activation treatment for depression149 cited
  • 2020Spectral Representation of Behaviour Primitives for Depression Analysis149 cited
  • 2024DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection110 cited
  • 2022MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection107 cited
  • 2020Interpretation of Depression Detection Models via Feature Selection Methods86 cited
  • 2018A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data

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84 cited
  • 2021Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers80 cited
  • 2022LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection79 cited
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