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EEG-based emotion recognition using random Convolutional Neural Networks
16 references·0 citing·35 second hop
EEG-based emotion recognition using random Convolutional Neural Networks (2022)EEG-based emotion recognition using rando…EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier (2021)EEG-based emotion recognition…EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network (2020)EEG-based emotion recognition…Proceedings of the 27th ACM International Conference on Multimedia (2019)Proceedings of the 27th ACM I…Emotion Recognition using Multimodal Residual LSTM Network (2019)Emotion Recognition using Mul…Bagged support vector machines for emotion recognition from speech (2019)Bagged support vector machine…Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks (2019)Accurate EEG-Based Emotion Re…Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)Spatial–Temporal Recurrent Ne…Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network (2018)Emotion Recognition from Mult…EEG-Based Emotion Recognition using 3D Convolutional Neural Networks (2018)EEG-Based Emotion Recognition…BOHB: Robust and Efficient Hyperparameter Optimization at Scale (2018)BOHB: Robust and Efficient Hy…Emotion Recognition Using Multimodal Deep Learning (2016)Emotion Recognition Using Mul…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…Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Emotion Recognition From EEG Using Higher Order Crossings (2009)Emotion Recognition From EEG …A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)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)The nature of emotion: Fundamental questions. (1994)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2022)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotional Intelligence (1990)THE MIRROR-NEURON SYSTEM (2004)EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Differential entropy feature for EEG-based emotion classification (2013)Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS) (2018)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives (2020)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Emotions Recognition Using EEG Signals: A Survey (2017)A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)Emotion Recognition From Multi-Channel EEG via Deep Forest (2020)Deep neural networks for choice analysis: Architecture design with alternative-specific utility functions (2020)Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)HEBO: An Empirical Study of Assumptions in Bayesian Optimisation (2022)Exploring temporal representations by leveraging attention-based bidirectional LSTM-RNNs for multi-modal emotion recognition (2020)SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition (2020)A survey on the design and evolution of social robots — Past, present and future (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
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2009Emotion Recognition From EEG Using Higher Order Crossings687 cited
  • 2018Spatial–Temporal Recurrent Neural Network for Emotion Recognition595 cited
  • 2018BOHB: Robust and Efficient Hyperparameter Optimization at Scale530 cited
  • 2019Proceedings of the 27th ACM International Conference on Multimedia454 cited
  • 2018Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network357 cited
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  • 2020EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network284 cited
  • 2018EEG-Based Emotion Recognition using 3D Convolutional Neural Networks251 cited
  • 2019Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks249 cited
  • 2019Bagged support vector machines for emotion recognition from speech

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248 cited
  • 2019Emotion Recognition using Multimodal Residual LSTM Network229 cited
  • 2021EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier176 cited
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