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Found 5 papers, 1 papers with code
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion
In this paper, we developed a seizure-risk warning system that employs Bayesian convolutional neural network (BCNN) to provide meaningful information to the patient and provide a greater opportunity for him/her to be potentially more in charge of his/her health.
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models
Epilepsy affects nearly 1% of the global population, of which two thirds can be treated by anti-epileptic drugs and a much lower percentage by surgery.
Machine Learning Cryptanalysis of a Quantum Random Number Generator
Random number generators (RNGs) that are crucial for cryptographic applications have been the subject of adversarial attacks.
Semi-supervised Seizure Prediction with Generative Adversarial Networks
In this article, we propose an approach that can make use of not only labeled EEG signals but also the unlabeled ones which is more accessible.
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis
The proposed approach achieves sensitivity of 81. 4%, 81. 2%, 82. 3% and false prediction rate (FPR) of 0. 06/h, 0. 16/h, 0. 22/h on Freiburg Hospital intracranial EEG (iEEG) dataset, Children's Hospital of Boston-MIT scalp EEG (sEEG) dataset, and Kaggle American Epilepsy Society Seizure Prediction Challenge's dataset, respectively.
