cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: Ghorbani
    given-names: Ramin
    orcid: "https://orcid.org/0000-0003-3631-0177"
  - family-names: Reinders
    given-names: Marcel
    orcid: "https://orcid.org/0000-0002-1148-1562"
  - family-names: Tax
    given-names: David
    orcid: "https://orcid.org/0000-0002-5153-9087"
title: "Code underlying the publication: &#34;RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/15ba3f7a-cd49-4c24-86e5-084e2e9276df.v1
license: MIT
date-released: 2024-12-20