相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。VAE-Stega: Linguistic Steganography Based on Variational Auto-Encoder
Zhong-Liang Yang et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2021)
Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection
Zina Li et al.
SENSORS (2020)
An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data
Jing Zhu et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2020)
Advances in Multimodal Emotion Recognition Based on Brain-Computer Interfaces
Zhipeng He et al.
BRAIN SCIENCES (2020)
Novel Linguistic Steganography Based on Character-Level Text Generation
Lingyun Xiang et al.
MATHEMATICS (2020)
Picture-Induced EEG Signal Classification Based on CVC Emotion Recognition System
Huiping Jiang et al.
CMC-COMPUTERS MATERIALS & CONTINUA (2020)
Automatic Detection of Aortic Dissection Based on Morphology and Deep Learning
Yun Tan et al.
CMC-COMPUTERS MATERIALS & CONTINUA (2020)
Detecting Outlier Behavior of Game Player Players Using Multimodal Physiology Data
Shinjin Kang et al.
INTELLIGENT AUTOMATION AND SOFT COMPUTING (2020)
Air Quality Prediction Based on Kohonen Clustering and ReliefF Feature Selection
Bolun Chen et al.
CMC-COMPUTERS MATERIALS & CONTINUA (2020)
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Huy Phan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
Sajad Mousavi et al.
PLOS ONE (2019)
An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model
Hojat Ghimatgar et al.
JOURNAL OF NEUROSCIENCE METHODS (2019)
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals
Nicola Michielli et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
A Pervasive Approach to EEG-Based Depression Detection
Hanshu Cai et al.
COMPLEXITY (2018)
A Novel Multi-Class EEG-Based Sleep Stage Classification System
Pejman Memar et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2018)
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
Akara Supratak et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
Khald Ali I. Aboalayon et al.
ENTROPY (2016)
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
Orestis Tsinalis et al.
ANNALS OF BIOMEDICAL ENGINEERING (2016)
A Low Computational Cost Algorithm for REM Sleep Detection Using Single Channel EEG
Syed Anas Imtiaz et al.
ANNALS OF BIOMEDICAL ENGINEERING (2014)
Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques
Jose Luis Rodriguez-Sotelo et al.
ENTROPY (2014)
A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms
Baha Sen et al.
JOURNAL OF MEDICAL SYSTEMS (2014)
Poor sleep maintenance and subjective sleep quality are associated with postpartum maternal depression symptom severity
Eliza M. Park et al.
ARCHIVES OF WOMENS MENTAL HEALTH (2013)
A Meta-Analysis of Electroencephalographic Sleep in Depression: Evidence for Genetic Biomarkers
Vivek Pillai et al.
BIOLOGICAL PSYCHIATRY (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Emotion Recognition From EEG Using Higher Order Crossings
Panagiotis C. Petrantonakis et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2010)
Arousal thresholds during human tonic and phasic REM sleep
Ummehan Ermis et al.
JOURNAL OF SLEEP RESEARCH (2010)
Characterization of the sleep EEG in acutely depressed men using detrended fluctuation analysis
S. Leistedt et al.
CLINICAL NEUROPHYSIOLOGY (2007)
Sleep and depression
N Tsuno et al.
JOURNAL OF CLINICAL PSYCHIATRY (2005)
Analysis of a sleep-dependent neuronal feedback loop: The slow-wave microcontinuity of the EEG
B Kemp et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)