SOTAVerified

EEG

Electroencephalography epilepsy

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 2431 papers

TitleStatusHype
Mobile EEG artifact correction on limited hardware using artifact subspace recon- struction—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition—0
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning—0
Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG—0
Modeling Temporal Lobe Epilepsy during Music Large-Scale Form Perception using the Impulse Pattern Formulation (IPF) Brain Mode—0
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events—0
Modeling the Dynamics of Attentional Gamma Oscillations During the Encoding Process of Noise-Mixed Speech Signals—0
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis—0
Monitoring fetal electroencephalogram intrapartum: a systematic literature review—0
Monitoring Trust in Human-Machine Interactions for Public Sector Applications—0
Motif Discovery Framework for Psychiatric EEG Data Classification—0
A Multi-Context Character Prediction Model for a Brain-Computer Interface—0
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation—0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding—0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining—0
Motor imagery classification using EEG spectrograms—0
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG—0
Motor Imagery EEG Signals: Multi-Task Classification and Subject Identification with a Lightweight CNN—0
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers—0
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG—0
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism—0
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging—0
A multi-artifact EEG denoising by frequency-based deep learning—0
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
Amplifying the Neural Power Spectrum—0
Multiagent Copilot Approach for Shared Autonomy between Human EEG and TD3 Deep Reinforcement Learning—0
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification—0
Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG—0
Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brain—0
Transmodal Analysis of Neural Signals—0
Multi-Channel Multi-Domain based Knowledge Distillation Algorithm for Sleep Staging with Single-Channel EEG—0
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers—0
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures—0
Multi-Channel Vision Transformer for Epileptic Seizure Prediction—0
Multiclass Common Spatial Pattern for EEG based Brain Computer Interface with Adaptive Learning Classifier—0
Multi-Dimensional Framework for EEG Signal Processing and Denoising Through Tensor-based Architecture—0
Multi-feature classifiers for burst detection in single EEG channels from preterm infants—0
Multifractal organization of EEG signals in Multiple Sclerosis—0
Multi-level Binarized LSTM in EEG Classification for Wearable Devices—0
Multilinear Low-Rank Tensors on Graphs & Applications—0
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines—0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography—0
Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion—0
Multimodal deep learning approach for joint EEG-EMG data compression and classification—0
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest—0
Show:102550
← PrevPage 32 of 49Next →

No leaderboard results yet.