| Conformance checking: a state-of-the-art literature review S Dunzer, M Stierle, M Matzner, S Baier Proceedings of the 11th international conference on subject-oriented …, 2019 | 100 | 2019 |
| Seven paradoxes of business process management in a hyper-connected world D Beverungen, JCAM Buijs, J Becker, C Di Ciccio, WMP van der Aalst, ... Business & Information Systems Engineering 63, 145-156, 2021 | 79 | 2021 |
| Explainable predictive business process monitoring using gated graph neural networks M Harl, S Weinzierl, M Stierle, M Matzner Journal of Decision Systems, 2020 | 75 | 2020 |
| Robotic Process Automation: Hype or Hope? J Hindel, LM Cabrera, M Stierle WI2020, 2020 | 36 | 2020 |
| A framework to evaluate the viability of robotic process automation for business process activities C Wellmann, M Stierle, S Dunzer, M Matzner Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020 | 35 | 2020 |
| Cause vs. effect in context-sensitive prediction of business process instances J Brunk, M Stierle, L Papke, K Revoredo, M Matzner, J Becker Information systems 95, 101635, 2021 | 32 | 2021 |
| A next click recommender system for web-based service analytics with context-aware LSTMs S Weinzierl, M Stierle, S Zilker, M Matzner 53rd Hawaii International Conference on System Sciences, 2020 | 21 | 2020 |
| Bringing light into the darkness-A systematic literature review on explainable predictive business process monitoring techniques M Stierle, J Brunk, S Weinzierl, S Zilker, M Matzner, J Becker | 18 | 2021 |
| A technique for determining relevance scores of process activities using graph-based neural networks M Stierle, S Weinzierl, M Harl, M Matzner Decision Support Systems 144, 113511, 2021 | 17 | 2021 |
| From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events S Weinzierl, S Zilker, M Stierle, G Park, M Matzner | 17 | 2020 |
| A Process Mining Software Comparison D Viner, M Stierle, M Matzner International Conference on Process Mining 2020, 2020 | 14 | 2020 |
| Design Principles for Comprehensible Process Discovery in Process Mining M Stierle, S Zilker, S Dunzer, JC Tenscher, G Karagegova European Conference of Information Systems (ECIS), 2020 | 7 | 2020 |
| Process Mining for Advanced Service Analytics–From Process Efficiency to Customer Encounter and Experience S Zilker, E Marx, M Stierle, M Matzner HICSS 2022, 2022 | 2 | 2022 |
| Exploring Cause-Effect Relationships in Process Analytics-Design, Development and Evaluation of Comprehensible, Explainable and Context-Aware Techniques M Stierle Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2021 | 2 | 2021 |
| Closing the Gap between Smart Manufacturing Applications and Data Management E Marx, M Stierle, S Weinzierl, M Matzner WI2020, 2020 | 2 | 2020 |
| Prediction of Business Process Instances with Dynamic Bayesian Networks. J Brunk, K Revoredo, M Stierle, M Matzner, P Delfmann, J Becker SIMPDA, 50-54, 2018 | 2 | 2018 |
| The MobIS-Challenge 2019: A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems S Baier, S Dunzer, P Fettke, C Houy, M Matzner, P Pfeiffer, JR Rehse, ... Enterprise Modelling and Information Systems Architectures (EMISAJ) 15, 5: 1-25, 2020 | | 2020 |
| AIS Electronic Library (AISeL) M Stierle, J Brunk, S Weinzierl, S Zilker, M Matzner | | |
Martin MatznerFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Verified email at fau.de
