%0 Computer Program
%A Ghorbani, Ramin
%A Reinders, Marcel
%A Tax, David
%D 2024
%T Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
%U 
%R 10.4121/15ba3f7a-cd49-4c24-86e5-084e2e9276df.v1
%K Time Series
%K Anomaly Detection
%K Radial Basis Function (RBF) kernel
%K Transformer
%X <p>This repository contains the official implementation of RESTAD (REconstruction and Similarity-based Transformer for time series Anomaly Detection), a novel framework that integrates reconstruction error with Radial Basis Function (RBF) similarity scores to enhance sensitivity to subtle anomalies. RESTAD leverages a Transformer architecture with an embedded RBF layer to synergistically detect anomalies in time series data, outperforming existing baselines on multiple benchmark datasets.</p>
%I 4TU.ResearchData