CITATION.cff

cff-version: 1.2.0
title: Thetis AI System Analysis Toolbox
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Fabian
    family-names: Küppers
    email: fabian.kueppers@efs-techhub.com
    affiliation: 'e:fs TechHub GmbH'
    orcid: 'https://orcid.org/0009-0005-9856-7527'
  - given-names: Jonas
    family-names: Schneider
    email: jonas.schneider@efs-techhub.com
    affiliation: 'e:fs TechHub GmbH'
  - given-names: Thorsten
    family-names: Gedicke
    email: thorsten.gedicke@efs-techhub.com
    affiliation: 'e:fs TechHub GmbH'
repository-code: 'https://github.com/EFS-OpenSource/Thetis'
url: 'https://thetis.de'
abstract: >-
  Solution for AI system analysis regarding performance,
  uncertainty consistency (calibration), fairness, and other
  aspects relevant for regulatory compliance.
keywords:
  - ai
  - machine learning
  - deep learning
  - fairness
  - uncertainty calibration
  - confidence calibration
  - robustness
  - explainability
  - data quality
  - neural networks
  - validation