NeuroSyd

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.

Epileptic-Seizure-Classification

Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models

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

seizure-detection-low-ADCbits

Epileptic Seizure Detection on Low-Precision Electroencephalogram Signals

signal_copilot

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

Integer-Net

latent-space-discovery

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

SNN-YOLO-Cell-Detection

NCP

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.

seiz-detect-snn

randomness

Weak_learning_for_seizure_forecasting

A-Navigation-System-based-on-Event-Camera-for-People-Living-with-Blindness-and-Vision-Impairment

ECG-Attention

KAN-ECG

KAN-EEG

MetaplasticEEG

microTrainer

ngs-variant-analysis

Novel mutations are identified in leukemia through variant analysis.

optical_data_telemetry

PUF-LSTM

S4D-CfC

Seizure-LTC-FPTT

Spiking-CfC

TinydLIF