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EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
9 references·16 citing·41 second hopsampled
EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder (2020)EEG-Based Emotion Classification Using a …Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2017)Real-Time Movie-Induced Discr…Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis (2016)Multichannel EEG-Based Emotio…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…EEG-based emotion classification using deep belief networks (2014)EEG-based emotion classificat…EEG-based emotion recognition during watching movies (2011)EEG-based emotion recognition…ECG Pattern Analysis for Emotion Detection (2011)ECG Pattern Analysis for Emot…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 …Emotion classification based on gamma-band EEG (2009)Emotion classification based …Emotion Classification Based on Transformer and CNN for EEG Spatial–Temporal Feature Learning (2024)Emotion Classification Based …Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps (2024)Developing an EEG-Based Emoti…GLFANet: A global to local feature aggregation network for EEG emotion recognition (2023)GLFANet: A global to local fe…Subject independent emotion recognition using EEG signals employing attention driven neural networks (2022)Subject independent emotion r…GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition (2022)GANSER: A Self-Supervised Dat…Emotion Recognition from EEG Signals Using Recurrent Neural Networks (2022)Emotion Recognition from EEG …Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism (2022)Emotion recognition from EEG …EEG-based emotion recognition using hybrid CNN and LSTM classification (2022)EEG-based emotion recognition…CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings (2022)CNN and LSTM based ensemble l…Classification of Contrasting Discrete Emotional States Indicated by EEG Based Graph Theoretical Network Measures (2022)Classification of Contrasting…A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition (2022)A multiple frequency bands pa…Review on Emotion Recognition Based on Electroencephalography (2021)Review on Emotion Recognition…Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers (2021)Introducing Attention Mechani…Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms (2021)Exploring Deep Learning Featu…EEG-Based Emotion Recognition via Neural Architecture Search (2021)EEG-Based Emotion Recognition…EEG-based detection of emotional valence towards a reproducible measurement of emotions (2021)EEG-based detection of emotio…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)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Differential entropy feature for EEG-based emotion classification (2013)Emotional state classification from EEG data using machine learning approach (2013)A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition based on physiological changes in music listening (2008)Emotion recognition using wireless signals (2016)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Self-Supervised ECG Representation Learning for Emotion Recognition (2020)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Human emotion recognition using deep belief network architecture (2018)An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals (2020)Emotion And Adaptation (1991)Exploring EEG Features in Cross-Subject Emotion Recognition (2018)Emotional Intelligence (1990)THE MIRROR-NEURON SYSTEM (2004)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)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)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)MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion Recognition (2019)Constants across cultures in the face and emotion. (1971)What are emotions? And how can they be measured? (2005)EEG-Based Emotion Classification Using Stacking Ensemble Approach (2022)A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG (2023)ERTNet: an interpretable transformer-based framework for EEG emotion recognition (2024)Phase-Locking Value Based Graph Convolutional Neural Networks for Emotion Recognition (2019)Review of the emotional feature extraction and classification using EEG signals (2021)
this work references cited by second hop· second hop is a sample of the most-cited connections

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
  • 2009Emotion Recognition From EEG Using Higher Order Crossings687 cited
  • 2011ECG Pattern Analysis for Emotion Detection476 cited
  • 2009Emotion classification based on gamma-band EEG413 cited
  • 2011EEG-based emotion recognition during watching movies375 cited
  • 2014EEG-based emotion classification using deep belief networks367 cited
  • 2017Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals357 cited
  • 2016Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis303 cited

Cited by

  • 2022EEG-based emotion recognition using hybrid CNN and LSTM classification187 cited
  • 2022CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings177 cited
  • 2021Review on Emotion Recognition Based on Electroencephalography161 cited
  • 2022GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition154 cited
  • 2022Subject independent emotion recognition using EEG signals employing attention driven neural networks137 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism133 cited
  • 2023GLFANet: A global to local feature aggregation network for EEG emotion recognition116 cited
  • 2022Classification of Contrasting Discrete Emotional States Indicated by EEG Based Graph Theoretical Network Measures112 cited
  • 2022Emotion Recognition from EEG Signals Using Recurrent Neural Networks104 cited
  • 2021Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms103 cited
  • 2021EEG-Based Emotion Recognition via Neural Architecture Search81 cited
  • 2021Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers80 cited
  • 2021EEG-based detection of emotional valence towards a reproducible measurement of emotions66 cited
  • 2024Emotion Classification Based on Transformer and CNN for EEG Spatial–Temporal Feature Learning61 cited
  • 2024Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps59 cited
  • 2022A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition58 cited