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2020 – today
- 2024
[c13]Sebastian Dunzer, Annina Liessmann, Matthias Stierle, Martin Matzner:
Conceptualizing business process violations. PLC@ICPM 2024: 1-14- 2022
- [c12]Sandra Zilker, Emanuel Marx, Matthias Stierle, Martin Matzner:
Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience. HICSS 2022: 1-10 - 2021
- [b1]Matthias Stierle:
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). University of Erlangen-Nuremberg, Germany, 2021 - [j5]Daniel Beverungen, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio
, Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, Marco Comuzzi, Karsten Kraume, Henrik Leopold, Martin Matzner, Jan Mendling, Nadine Ogonek, Till Post, Manuel Resinas, Kate Revoredo, Adela del-Río-Ortega, Marcello La Rosa, Flávia Maria Santoro, Andreas Solti, Minseok Song, Armin Stein, Matthias Stierle, Verena Wolf:
Seven Paradoxes of Business Process Management in a Hyper-Connected World. Bus. Inf. Syst. Eng. 63(2): 145-156 (2021) - [j4]Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner:
A technique for determining relevance scores of process activities using graph-based neural networks. Decis. Support Syst. 144: 113511 (2021) - [j3]Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker:
Cause vs. effect in context-sensitive prediction of business process instances. Inf. Syst. 95: 101635 (2021) - [c11]Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker:
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques. ECIS 2021 - 2020
- [j2]Stephan Baier, Sebastian Dunzer, Peter Fettke, Constantin Houy, Martin Matzner, Peter Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, Matthias Stierle, Brian Willems:
The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 5:1-5:25 (2020) - [j1]Maximilian Harl, Sven Weinzierl, Matthias Stierle, Martin Matzner:
Explainable predictive business process monitoring using gated graph neural networks. J. Decis. Syst. 29(Supplement): 312-327 (2020) - [c10]Christian Wellmann, Matthias Stierle, Sebastian Dunzer, Martin Matzner:
A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities. BPM (Blockchain and RPA Forum) 2020: 200-214 - [c9]Matthias Stierle, Sandra Zilker, Sebastian Dunzer, Johannes Christian Tenschert, Gergana Karagegova:
Design Principles for Comprehensible Process Discovery in Process Mining. ECIS 2020 - [c8]Sven Weinzierl, Matthias Stierle, Sandra Zilker, Martin Matzner:
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs. HICSS 2020: 1-10 - [c7]Daniel Viner, Matthias Stierle, Martin Matzner:
A Process Mining Software Comparison. ICPM Doctoral Consortium / Tools 2020: 19-22 - [c6]Emanuel Marx, Matthias Stierle, Sven Weinzierl, Martin Matzner:
Closing the Gap between Smart Manufacturing Applications and Data Management. Wirtschaftsinformatik (Community Tracks) 2020: 120-136 - [c5]Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner, Gyunam Park:
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. Wirtschaftsinformatik (Zentrale Tracks) 2020: 364-368 - [c4]Julia Hindel, Lena M. Cabrera, Matthias Stierle:
Robotic Process Automation: Hype or Hope? Wirtschaftsinformatik (Zentrale Tracks) 2020: 1750-1762 - [i5]Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker:
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances. CoRR abs/2007.07549 (2020) - [i4]Christian Wellmann, Matthias Stierle, Sebastian Dunzer, Martin Matzner:
A framework to evaluate the viability of robotic process automation for business process activities. CoRR abs/2007.10900 (2020) - [i3]Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier:
Conformance checking: A state-of-the-art literature review. CoRR abs/2007.10903 (2020) - [i2]Daniel Viner, Matthias Stierle, Martin Matzner:
A Process Mining Software Comparison. CoRR abs/2007.14038 (2020) - [i1]Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner:
A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks. CoRR abs/2008.03110 (2020)
2010 – 2019
- 2019
- [c3]Janina Nakladal, Jerome Geyer-Klingeberg, Matthias Stierle, Martin Matzner:
From Technical Product Training to Sustainable Education for Students - A Strategic Alliance Approach to Applied MOOCs. EMOOCs-WIP 2019: 254-260 - [c2]Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier:
Conformance checking: a state-of-the-art literature review. S-BPM ONE 2019: 4:1-4:10 - 2018
- [c1]Jens Brunk, Kate Revoredo, Matthias Stierle, Martin Matzner, Patrick Delfmann, Jörg Becker:
Prediction of Business Process Instances with Dynamic Bayesian Networks. SIMPDA 2018: 50-54
Coauthor Index
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