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EEG

Electroencephalography epilepsy

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Showing 751–775 of 2431 papers

TitleStatusHype
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates—0
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs—0
Deep Transfer Learning for EEG-based Brain Computer Interface—0
Deep Transfer Learning for Error Decoding from Non-Invasive EEG—0
Deep transfer learning for improving single-EEG arousal detection—0
Deep User Identification Model with Multiple Biometrics—0
Demo: Multi-Modal Seizure Prediction System—0
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks—0
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface—0
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals—0
Design and Implementation of Butterworth, Chebyshev-I and Elliptic Filter for Speech Signal Analysis—0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers—0
Design of BCCWJ-EEG: Balanced Corpus with Human Electroencephalography—0
Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
Detecting Epileptic Seizures from EEG Data using Neural Networks—0
Advancing Speech Synthesis using EEG—0
DreamNet: A Multimodal Framework for Semantic and Emotional Analysis of Sleep Narratives—0
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech—0
Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework—0
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities—0
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis—0
Detection of epileptic seizure in EEG signals using linear least squares preprocessing—0
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies—0
A Technique Based on Chaos for Brain Computer Interfacing—0
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