Sandra Zilker

Lehrstuhl für Digital Industrial Service Systems

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints (2022) Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M Conference contribution, Conference Contribution Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience (2022) Zilker S, Marx E, Stierle M, Matzner M Conference contribution, Conference Contribution Predictive business process deviation monitoring (2021) Weinzierl S, Dunzer S, Tenschert J, Zilker S, Matzner M Conference contribution, Original article Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques (2021) Stierle M, Brunk J, Weinzierl S, Zilker S, Matzner M, Becker J Conference contribution, Original article The Status Quo of Process Mining in the Industrial Sector (2021) Dunzer S, Zilker S, Marx E, Grundler V, Matzner M Conference contribution, Conference Contribution Prescriptive business process monitoring for recommending next best actions (2020) Weinzierl S, Dunzer S, Zilker S, Matzner M Conference contribution, Original article Job Seekers' Artificial Intelligence-related Black Box Concerns (2020) Ochmann J, Zilker S, Laumer S Conference contribution, Conference Contribution The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations (2020) Ochmann J, Michels L, Zilker S, Tiefenbeck V, Laumer S Conference contribution, Conference Contribution XNAP: Making LSTM-based next activity predictions explainable by using LRP (2020) Weinzierl S, Zilker S, Brunk J, Revoredo K, Matzner M, Becker J Conference contribution, Conference Contribution Design Principles for Comprehensible Process Discovery in Process Mining (2020) Stierle M, Zilker S, Dunzer S, Tenschert J, Karagegova G Conference contribution