(Thesis plus source code) EEG emotion recognition based on DEAP EEG data set (using generative adversarial networks for feature extraction and data expansion) - Code World

(Thesis plus source code) EEG emotion recognition based on DEAP EEG data set (using generative adversarial networks for feature extraction and data expansion)

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(Thesis plus source code) EEG emotion recognition based on DEAP EEG data set (using generative adversarial networks for feature extraction and data expansion)

(Thesis plus source code) EEG emotion recognition based on DEAP EEG data set (using generative adversarial networks for feature extraction and data expansion)

(Thesis plus source code) Code analysis of two-class EEG emotion recognition (pytorch deep neural network (DNN) and convolutional neural network (CNN)) based on DEAP and MABHOB data sets

(Thesis plus source code) Two-class EEG emotion recognition based on DEAP and MABHOB data sets (pytorch deep neural network (DNN) and convolutional neural network (CNN))

(Thesis plus source code) DEAP-based EEG emotion recognition (four categories) (data enhancement and expansion) (five models for comparison: one-dimensional CNN, LSTM, two-dimensional and three-dimensional CNN and cascade CNN with LSTM)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

EEG signal processing and feature extraction - 4. EEG signal preprocessing and data analysis points (Peng Weiwei)

Based on Matlab, the wavelet feature extraction of ECG signal and the corresponding disease identification simulation (attach source code + data set)

[翻译+注解] DEAP dataset：a dataset for emotion analysis using eeg, physiological and video signals

Spatial feature-based generative adversarial network data generation method

EEG signal processing and feature extraction - 6. Using machine learning technology and EEG to decode the brain (Tu Yiheng)

[Based on] EEG recognition depth learning to use tools TUH provided by EDF labeled EEG data format and save it as a file .lbl

Training Generative Adversarial Networks with Limited Data

[Voice Recognition] Staged sleep monitoring based on matlab SVM EEG signal [Contains Matlab source code 611]

EEGNet: deep learning applied to EEG feature extraction

EEG data analysis of healthy people and epileptic patients based on DFA method with code

[Using Convolutional Neural Networks for Cat and Dog Recognition]------Machine Learning (with complete code and data set)

BCIduino EEG Module|Run BCIduino EEG Module and get data based on Raspberry Pi and other card-based computers

EEG signal processing and feature extraction - 2. The neural origin and measurement of EEG (Xia Xiaolei)

EEG signal processing and feature extraction——3. Principles and examples of EEG experiment design (Gu Ruolei)

[Emotion Recognition] Voice Emotion Recognition Based on Matlab Support Vector Machine (SVM) [Include Matlab source code 543]

[Emotion Recognition] Speech Emotion Recognition Based on Neural Network [With Matlab source code 544]

Data feature extraction and classification based on Autoencoder

Emotion Recognition Using Graph Convolutional Networks

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

Complete code analysis of DEAP-based EEG emotion recognition (models are SVM, KNN, decision tree, and random forest)

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