Artificial-Intelligence to Reveal Potentials for Semi-Process-Automation (AISA)

Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data (2022) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Journal article, Original article Text-aware predictive process monitoring with contextualized word embeddings (2022) Cabrera Pérez L, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution A technique for determining relevance scores of process activities using graph-based neural networks (2021) Stierle M, Weinzierl S, Harl M, Matzner M Journal article, Original article Predictive business process deviation monitoring (2021) Weinzierl S, Dunzer S, Tenschert J, Zilker S, Matzner M Conference contribution, Original article Prescriptive business process monitoring for recommending next best actions (2020) Weinzierl S, Dunzer S, Zilker S, Matzner M Conference contribution, Original article Explainable predictive business process monitoring using gated graph neural networks (2020) Harl M, Weinzierl S, Stierle M, Matzner M Journal article, Original article 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 Detecting workarounds in business processes — A deep learning method for analyzing event logs (2020) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Conference contribution, Conference Contribution A next click recommender system for web-based service analytics with context-aware LSTMs (2020) Weinzierl S, Stierle M, Zilker S, Matzner M Conference contribution, Original article Predictive business process monitoring with context information from documents (2019) Weinzierl S, Revoredo K, Matzner M Conference contribution, Conference Contribution