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Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition

https://doi.org/10.1109/taffc.2023.3319397
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Electroencephalogram-based emotion assessment system using ontology and data mining techniques
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Multi-modal emotion analysis from facial expressions and electroencephalogram
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Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers
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Locally robust EEG feature selection for individual-independent emotion recognition
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The Neural Representation of Visually Evoked Emotion Is High-Dimensional, Categorical, and Distributed across Transmodal Brain Regions
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Deep reinforcement learning for robust emotional classification in facial expression recognition
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Identifying the key frames: An attention-aware sampling method for action recognition
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Self-report captures 27 distinct categories of emotion bridged by continuous gradients
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Emotion estimation from EEG signals during listening to Quran using PSD features
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01352openalex-snapshot
OCSampler: Compressing Videos to One Clip with Single-step Sampling
inferredcites →https://doi.org/10.1109/fskd.2016.7603437openalex-snapshot
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EEG-based emotion recognition using Recurrence Plot analysis and K nearest neighbor classifier
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3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
inferredcites →https://doi.org/10.1109/ner.2013.6695876openalex-snapshot
Differential entropy feature for EEG-based emotion classification
inferredcites →https://doi.org/10.1109/stsiva.2014.7010181openalex-snapshot
Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models
inferredcites →https://doi.org/10.1109/t-affc.2011.15openalex-snapshot
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
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inferredcites →https://doi.org/10.1109/taffc.2017.2660485openalex-snapshot
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inferredcites →https://doi.org/10.1109/taffc.2018.2817622openalex-snapshot
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
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From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition
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An Active Learning Paradigm for Online Audio-Visual Emotion Recognition
inferredcites →https://doi.org/10.1109/taffc.2020.2994159openalex-snapshot
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An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
inferredcites →https://doi.org/10.1109/taffc.2020.3025777openalex-snapshot
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention
inferredcites →https://doi.org/10.1109/taffc.2021.3130387openalex-snapshot
EEG-Based Emotion Recognition via Neural Architecture Search
inferredcites →https://doi.org/10.1109/taffc.2022.3145623openalex-snapshot
EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention
inferredcites →https://doi.org/10.1109/tamd.2015.2431497openalex-snapshot
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
inferredcites →https://doi.org/10.1109/tbme.2010.2048568openalex-snapshot
EEG-Based Emotion Recognition in Music Listening
inferredcites →https://doi.org/10.1109/tbme.2014.2347318openalex-snapshot
Novel Active Comb-Shaped Dry Electrode for EEG Measurement in Hairy Site
inferredcites →https://doi.org/10.1109/tcds.2016.2587290openalex-snapshot
Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis
inferredcites →https://doi.org/10.1109/tcds.2019.2949306openalex-snapshot
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inferredcites →https://doi.org/10.1109/tcsvt.2021.3072412openalex-snapshot
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inferredcites →https://doi.org/10.1109/tencon.2016.7848034openalex-snapshot
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inferredcites →https://doi.org/10.1109/tii.2022.3170422openalex-snapshot
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inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot
Domain Adaptation via Transfer Component Analysis
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inferredcites →https://doi.org/10.1109/tnsre.2021.3111689openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2002.1114861openalex-snapshot
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inferredcites →https://doi.org/10.1109/tsp.2012.2187647openalex-snapshot
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inferredcites →https://doi.org/10.1145/3524499openalex-snapshot
EEG Based Emotion Recognition: A Tutorial and Review
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inferredcites →https://doi.org/10.24963/ijcai.2018/216openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Joint Time-Frequency Encoding and Emotion-Embedded Graph Neural Network for EEG Emotion Recognition
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Deep learning-based EEG emotion recognition: a comprehensive review
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EEG-Based Emotion Classification Driven by Fuzzy Linguistic Summarization: A Study on SEED Dataset
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