SOTAVerified

EEG

Electroencephalography epilepsy

Papers

Showing 20262050 of 2431 papers

TitleStatusHype
A new model for the implementation of positive and negative emotion recognition0
Mental Fatigue Monitoring using Brain Dynamics Preferences0
Neural Causal Discovery with Learnable Input Noise0
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks0
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models0
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques0
Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder0
Towards a Passive BCI to Induce Lucid Dream0
Attention-based Transfer Learning for Brain-computer Interface0
End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNetsCode0
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method0
Signal2Image Modules in Deep Neural Networks for EEG ClassificationCode0
Classification of Two-channel Signals by Means of Genetic Programming0
Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG0
Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts0
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction0
Advancing NLP with Cognitive Language Processing SignalsCode0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification0
Recognition of Advertisement Emotions with Application to Computational Advertising0
Understanding language-elicited EEG data by predicting it from a fine-tuned language model0
On the Vulnerability of CNN Classifiers in EEG-Based BCIs0
Information Theoretic Feature Transformation Learning for Brain Interfaces0
Adversarial Deep Learning in EEG Biometrics0
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study0
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study0
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