cff-version: 1.2.0
abstract: "<p>This repository provides the implementation of Proximity-Aware Time Series Anomaly Evaluation (PATE), a novel metric introduced to address the limitations of existing evaluation methods for time series anomaly detection. PATE incorporates proximity-based weighting with buffer zones around anomaly intervals to account for temporal complexities such as Early or Delayed detections, Onset response time, and Coverage level. It computes a weighted version of the Area Under Precision and Recall curve, offering a more accurate and meaningful assessment of anomaly detection models. Experimental results validate PATE's ability to distinguish performance differences across various models and scenarios.</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;PATE: Proximity-Aware Time series anomaly Evaluation&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/d8b0f4ab-3bd6-412b-88dd-f515d545aefd.v1
license: MIT
date-released: 2024-12-20