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EEG

Electroencephalography epilepsy

Papers

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Showing 1651–1675 of 2431 papers

TitleStatusHype
Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials—0
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition—0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection—0
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction—0
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification—0
Characterising Alzheimer's Disease with EEG-based Energy Landscape AnalysisCode0
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization—0
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing—0
Analysis of EEG data using complex geometric structurization—0
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks—0
Classification of multivariate weakly-labelled time-series with attentionCode0
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder—0
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals—0
Geometric feature performance under downsampling for EEG classification tasks—0
EEGs disclose significant brain activity correlated with synaptic fickleness—0
Mind the beat: detecting audio onsets from EEG recordings of music listening—0
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax—0
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020Code0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
Few-shot time series segmentation using prototype-defined infinite hidden Markov models—0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition—0
ScalingNet: extracting features from raw EEG data for emotion recognition—0
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology—0
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