Prediction of Business Process Instances with Dynamic Bayesian Networks. - Jens Brunk; Kate Revoredo; Matthias Stierle; Martin Matzner; Patrick Delfmann; Jörg Becker 001 (SIMPDA, 2018)

From Technical Product Training to Sustainable Education for Students - A Strategic Alliance Approach to Applied MOOCs. - Janina Nakladal; Jerome Geyer-Klingeberg; Matthias Stierle; Martin Matzner (EMOOCs-WIP, 2019)

Conformance checking: a state-of-the-art literature review. - Sebastian Dunzer; Matthias Stierle; Martin Matzner; Stephan Baier (S-BPM ONE, 2019)

A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities. - Christian Wellmann; Matthias Stierle; Sebastian Dunzer; Martin Matzner (BPM (Blockchain and RPA Forum), 2020)

Design Principles for Comprehensible Process Discovery in Process Mining. - Matthias Stierle; Sandra Zilker; Sebastian Dunzer; Johannes Christian Tenschert; Gergana Karagegova (ECIS, 2020)

A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs. - Sven Weinzierl; Matthias Stierle; Sandra Zilker; Martin Matzner (HICSS, 2020)

A Process Mining Software Comparison. - Daniel Viner; Matthias Stierle; Martin Matzner (ICPM Doctoral Consortium / Tools, 2020)

Robotic Process Automation: Hype or Hope? - Julia Hindel; Lena M. Cabrera; Matthias Stierle (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Closing the Gap between Smart Manufacturing Applications and Data Management. - Emanuel Marx; Matthias Stierle; Sven Weinzierl; Martin Matzner (Wirtschaftsinformatik (Community Tracks), 2020)

From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. - Sven Weinzierl; Sandra Zilker; Matthias Stierle; Martin Matzner; Gyunam Park (Wirtschaftsinformatik (Zentrale Tracks), 2020)

The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. - Stephan Baier; Sebastian Dunzer; Peter Fettke; Constantin Houy; Martin Matzner; Peter Pfeiffer; Jana-Rebecca Rehse; Martin Scheid; Sebastian Stephan; Matthias Stierle; Brian Willems (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2020)

Explainable predictive business process monitoring using gated graph neural networks. - Maximilian Harl; Sven Weinzierl; Matthias Stierle; Martin Matzner (J. Decis. Syst., 2020)

Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques. - Matthias Stierle; Jens Brunk; Sven Weinzierl; Sandra Zilker; Martin Matzner; Jörg Becker 001 (ECIS, 2021)

Seven Paradoxes of Business Process Management in a Hyper-Connected World. - Daniel Beverungen; Joos C. A. M. Buijs; Jörg Becker 001; Claudio Di Ciccio; Wil M. P. van der Aalst; Christian Bartelheimer; Jan vom Brocke; Marco Comuzzi; Karsten Kraume; Henrik Leopold; Martin Matzner; Jan Mendling; et al. (Bus. Inf. Syst. Eng., 2021)

A technique for determining relevance scores of process activities using graph-based neural networks. - Matthias Stierle; Sven Weinzierl; Maximilian Harl; Martin Matzner (Decis. Support Syst., 2021)

Cause vs. effect in context-sensitive prediction of business process instances. - Jens Brunk; Matthias Stierle; Leon Papke; Kate Revoredo; Martin Matzner; Jörg Becker 001 (Inf. Syst., 2021)

Exploring Cause-Effect Relationships in Process Analytics - Design, Development and Evaluation of Comprehensible, Explainable and Context-Aware Techniques (Erforschung von Ursache-Wirkungs-Beziehungen in der Prozessanalyse) - Matthias Stierle (2021)

Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience. - Sandra Zilker; Emanuel Marx; Matthias Stierle; Martin Matzner (HICSS, 2022)

Conceptualizing business process violations. - Sebastian Dunzer; Annina Liessmann; Matthias Stierle; Martin Matzner (PLC@ICPM, 2024)