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Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network
9 references·2 citing·46 second hop
Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network (2021)Effects of Data Augmentation Method Borde…SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG (2019)SAE+LSTM: A New Framework for…Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network (2018)Emotion Recognition from Mult…Emotion Recognition based on EEG using LSTM Recurrent Neural Network (2017)Emotion Recognition based on …Continuous emotion detection using EEG signals and facial expressions (2014)Continuous emotion detection …EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm (2013)EEG-based emotion estimation …DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Philosophical conceptions of the self: implications for cognitive science (2000)Philosophical conceptions of …Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions (2025)Advances in EEG-based emotion…Interpretable high-stakes decision support system for credit default forecasting (2023)Interpretable high-stakes dec…Evidence for a three-factor theory of emotions (1977)What are emotions? 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this work references cited by second hop

References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2000Philosophical conceptions of the self: implications for cognitive science2,877 cited
  • 2001Emotion recognition in human-computer interaction2,601 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 2017Emotion Recognition based on EEG using LSTM Recurrent Neural Network653 cited
  • 2018Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network357 cited
  • 2019SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG269 cited
  • 2013EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm184 cited
  • 2014Continuous emotion detection using EEG signals and facial expressions97 cited

Cited by

  • 2025Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions79 cited
  • 2023Interpretable high-stakes decision support system for credit default forecasting26 cited

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