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Wei Liu et al.
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ELECTRONICS LETTERS (2020)
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IEEE REVIEWS IN BIOMEDICAL ENGINEERING (2020)
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Jan Rabcan et al.
IEEE ACCESS (2020)
Quantification of Phase-Amplitude Coupling in Neuronal Oscillations: Comparison of Phase-Locking Value, Mean Vector Length, Modulation Index, and Generalized-Linear-Modeling-Cross-Frequency-Coupling
Mareike J. Huelsemann et al.
FRONTIERS IN NEUROSCIENCE (2019)
Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework
Hao Chao et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)
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Arianna Mencattini et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2017)
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Yong-Jin Liu et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2016)
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Juhan Aru et al.
CURRENT OPINION IN NEUROBIOLOGY (2015)
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
Wei-Long Zheng et al.
IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT (2015)
Integrating Facial Expression and Body Gesture in Videos for Emotion Recognition
Jingjie Yan et al.
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2014)
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S. Jerritta et al.
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS (2014)
Emotional state classification from EEG data using machine learning approach
Xiao-Wei Wang et al.
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Feature Extraction and Selection for Emotion Recognition from EEG
Robert Jenke et al.
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Stelios K. Hadjidimitriou et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
ECG Pattern Analysis for Emotion Detection
Foteini Agrafioti et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
Survey on speech emotion recognition: Features, classification schemes, and databases
Moataz El Ayadi et al.
PATTERN RECOGNITION (2011)
Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal
Anneleen Vergult et al.
EPILEPSIA (2007)
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
A Delorme et al.
JOURNAL OF NEUROSCIENCE METHODS (2004)
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