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109 Publications
2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, David Ricardo, Marcel Meyer, and Oliver Müller. “Bridging the Gap between Data-Driven and Theory-Driven Modelling – Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems,” 2025.
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2025 | Conference Paper | LibreCat-ID: 61098
Kaltenpoth, Sascha Benjamin, Alexander Marcus Skolik, Oliver Müller, and Daniel Beverungen. “A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-02867-9_19.
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2025 | Journal Article | LibreCat-ID: 61160
Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System.” ACM SIGEnergy Energy Informatics Review 4, no. 4 (2025): 16–22. https://doi.org/10.1145/3717413.3717415.
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2025 | Working Paper | LibreCat-ID: 63026
Althaus, Maike, Daniel Beverungen, Beate Flath, Haya Halimeh, Philipp Hansmeier, Philipp zur Heiden, Dennis Kundisch, et al. Positionspapier Use Case 1: Vernetzte Kulturplattformen. Universität Paderborn, SICP, 2025.
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2025 | Conference Paper | LibreCat-ID: 63397 | 
Zapata Gonzalez, David Ricardo, Katharina Brennig, Kay Benkert, Florian Schlosser, and Oliver Müller. “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling.” In ACM SIGEnergy Energy Informatics Review, 5:19–31. Association for Computing Machinery (ACM), 2025. https://doi.org/10.1145/3777518.3777520.
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2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, David Ricardo, Marcel Meyer, and Oliver Müller. “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study.” In ACM SIGEnergy Energy Informatics Review, 5:4–10. Association for Computing Machinery (ACM), 2025. https://doi.org/10.1145/3757892.3757893.
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2024 | Journal Article | LibreCat-ID: 53130 |
Stumpe, Miriam, Peter Dieter, Guido Schryen, Oliver Müller, and Daniel Beverungen. “Designing Taxi Ridesharing Systems with Shared Pick-up and Drop-off Locations: Insights from a Computational Study.” Transportation Research Part A: Policy and Practice, 2024.
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2024 | Conference Abstract | LibreCat-ID: 55096
Bösch, Kevin, Oliver Müller, and Markus Weinmann. “Not Your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML.” In Proceedings of the Symposium on Statistical Challenges in Electronic Commerce Research, 2024.
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2024 | Journal Article | LibreCat-ID: 55500
Gitzel, Ralf, Martin Hoffmann, Philipp zur Heiden, Alexander Marcus Skolik, Sascha Benjamin Kaltenpoth, Oliver Müller, Cansu Kanak, et al. “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.” IEEE Access, 2024, 1–1. https://doi.org/10.1109/access.2024.3437195.
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2024 | Conference Paper | LibreCat-ID: 56945
Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment.” In Wirtschaftsinformatik 2024 Proceedings, 2024.
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2023 | Journal Article | LibreCat-ID: 45112
Beverungen, Daniel, Dennis Kundisch, Milad Mirbabaie, Oliver Müller, Guido Schryen, Simon Thanh-Nam Trang, and Matthias Trier. “Digital Responsibility – a Multilevel Framework for Responsible Digitalization.” Business & Information Systems Engineering 65, no. 4 (2023): 463–74. https://doi.org/10.1007/s12599-023-00822-x.
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2023 | Conference Paper | LibreCat-ID: 37312 |
Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 50431 |
Halimeh, Haya, Florian Freese, and Oliver Müller. “Event Recommendations through the Lens of Vision and Language Foundation Models.” In Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems, 2023.
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2023 | Conference Paper | LibreCat-ID: 45270 |
Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 37058
Brennig, Katharina, and Oliver Müller. “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency.” In Hawaii International Conference on System Sciences, 2023.
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2023 | Book Chapter | LibreCat-ID: 50450
Brennig, Katharina, Kay Benkert, Bernd Löhr, and Oliver Müller. “Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?” In Business Process Management Workshops, 2023. https://doi.org/10.1007/978-3-031-50974-2_33.
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2023 | Report | LibreCat-ID: 47107
Beverungen, Daniel, Philipp zur Heiden, Christiane Lehrer, Matthias Trier, Christian Bartelheimer, Tobias Bradt, Bettina Distel, et al. Implementing Digital Responsibility through Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research. Department of Information Systems, Paderborn University, 2023.
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2022 | Conference Paper | LibreCat-ID: 27507 |
Heuwinkel, Tim, Jan-Peter Kucklick, and Oliver Müller. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” In 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.
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2022 | Journal Article | LibreCat-ID: 35620
Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.” ACM Transactions on Management Information Systems, 2022. https://doi.org/10.1145/3567430.
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2022 | Conference Paper | LibreCat-ID: 36912
Löhr, Bernd, Katharina Brennig, Christian Bartelheimer, Daniel Beverungen, and Oliver Müller. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.” In International Conference on Business Process Management, 2022. https://doi.org/10.1007/978-3-031-16103-2_18.
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