Sandra Zilker

Lehrstuhl für Digital Industrial Service Systems

Text-aware predictive process monitoring with contextualized word embeddings (2022) Cabrera Pérez L, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution Designing a Method for Resource-specific Next Activity Prediction (2022) Zilker S Conference contribution, Conference Contribution 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