SoftwareApplication
name: Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
description: Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
description: 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.
code repository: https://data.4tu.nl/v3/datasets/0b854951-5345-48a8-8273-ba51a9c451be.git
author: https://orcid.org/0000-0003-3631-0177
author: https://orcid.org/0000-0002-1148-1562
author: https://orcid.org/0000-0002-5153-9087
keywords: Radial Basis Function (RBF) kernel
keywords: Anomaly detection
keywords: Transformer
keywords: Time Series
programming language: Markdown
programming language: Other
programming language: Python
programming language: YAML
license:
  creative work: creativeWork
    name: MIT
reference publication: mlsp58920.2024.10734755

https://orcid.org/0000-0003-3631-0177
type: Person
given name: Ramin
family name: Ghorbani
name: Ramin Ghorbani

https://orcid.org/0000-0002-1148-1562
type: Person
given name: Marcel
family name: Reinders
name: Marcel Reinders

https://orcid.org/0000-0002-5153-9087
type: Person
given name: David
family name: Tax
name: David Tax

mlsp58920.2024.10734755
type: ScholarlyArticle
name: RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection
pagination: 1-6
url: https://doi.org/10.1109%2Fmlsp58920.2024.10734755