A Reference Process for Judging Reliability of Classification Results in Predictive Analytics. - Simon Staudinger; Christoph G. Schuetz; Michael Schrefl (DATA, 2021)

Using Multilevel Business Artifacts for Knowledge Management in Analytics Projects. - Simon Staudinger; Christoph G. Schuetz; Michael Schrefl (MoDELS (Companion), 2023)

Using Machine Learning to Identify Incorrect Value-Added Tax Reports. - Giel van Bree; Simon Staudinger; Felix Burgstaller; Felix Schiff; Christoph G. Schuetz (AMCIS, 2024)

A Reference Process for Assessing the Reliability of Predictive Analytics Results. - Simon Staudinger; Christoph G. Schuetz; Michael Schrefl (SN Comput. Sci., 2024)

Implementing the Perturbation Approach for Reliability Assessment: A Case Study in the Context of Flight Delay Prediction. - Simon Staudinger; Christoph Großauer; Pascal Badzura; Christoph G. Schuetz; Michael Schrefl (ICEIS (1), 2025)

Exploring the Use of Predictive Analytics by Austrian Tax Authorities: A Qualitative Study within the Task-Technology Fit Model. - Simon Staudinger; Christoph G. Schuetz; Marina Luketina (CoRR, 2025)