NeuroSyd/Epileptic-Seizure-Classification

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Python
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GNU Affero Genera...
Created almost 5 years ago
Updated 12 months ago

NeuroSyd/Epileptic-Seizure-Classification

NeuroSyd

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Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models

seizure-prediction-CNN

seizure-prediction-GAN

Epileptic Seizure Forecasting with Generative Adversarial Networks

breast-cancer-sub-types

A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.

seizure-detection-ACS

Automatic channel selection for seizure detection

Continental-Seiz-detection

Seizure Event Detection using minimum electrodes

Machine-Learning-Cryptanalysis-of-a-Quantum-Random-Number-Generator

Jupyter Notebook

signal_copilot

BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signals

seizure-detection-low-ADCbits

Epileptic Seizure Detection on Low-Precision Electroencephalogram Signals

Integer-Net

S4D-ECG

This work consists of three main code files. The ECG.py file includes the model definition and training process. ECG_predict.py evaluates the model's performance on a test set. Finally, ECG_generalization assesses the model's generalization and robustness using different datasets.

latent-space-discovery

Noble self-supervised adversarial auto-encoder is proposed to extract biologically relevant genes from cancer transcriptomes.

SNN-YOLO-Cell-Detection

seiz-detect-snn

NCP