SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder

25 June 2024

Papers citing "SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder"

3 / 3 papers shown

Title
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction Zakary Georgis-Yap Milos R. Popovic Shehroz S. Khan 27 5 0 24 Apr 2023
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine A. Pollastro Giusiana Testa A. Bilotta R. Prevete DRL 21 10 0 11 Oct 2022
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies A. Shoeibi Navid Ghassemi Marjane Khodatars Parisa Moridian R. Alizadehsani A. Zare Abbas Khosravi A. Subasi U. Acharya Juan M Gorriz 28 107 0 06 Sep 2021