Decision Support

Transfer learning for predictive process monitoring (2024) Ließmann A, Wang W, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution Context-aware explanations of accurate predictions in service processes (2024) Weinzierl S, Zilker S, Brunk J, Revoredo K, Matzner M, Becker J Conference contribution, Conference Contribution Guiding text-to-text privatization by syntax (2023) Arnold S, Yesilbas D, Weinzierl S Conference contribution, Conference Contribution Driving context into text-to-text privatization (2023) Arnold S, Yesilbas D, Weinzierl S Conference contribution, Conference Contribution Interpretable generalized additive neural networks (2023) Kraus M, Tschernutter D, Weinzierl S, Zschech P Journal article, Original article Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023) Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M Conference contribution, Conference Contribution 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 A Light in the Dark: Deep Learning Practices for Industrial Computer Vision (2022) Harl M, Herchenbach M, Kruschel S, Hambauer N, Zschech P, Kraus M Conference contribution, Conference Contribution