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115 Publications
2026 | Journal Article | LibreCat-ID: 65105
P. zur Heiden et al., “Data Spaces for Heterogeneous Data Ecosystems – Findings from a Design Study in the Cultural Sector,” Communications of the Association for Information Systems.
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2026 | Journal Article | LibreCat-ID: 65626
A. M. Skolik, S. B. Kaltenpoth, D. Beverungen, and O. Müller, “A modular large language model agent architecture for adaptive and autonomous process-aware execution,” Information Systems, Art. no. 102748, 2026, doi: 10.1016/j.is.2026.102748.
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2026 | Conference Paper | LibreCat-ID: 65815
K. Zalipski, D. R. Zapata Gonzalez, and O. Müller, “Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning,” 2026.
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2026 | Journal Article | LibreCat-ID: 65810
D. R. Zapata Gonzalez, M. Meyer, K. Zalipski, and O. Müller, “Temporal causal feature selection for robust machine learning modelling of data center operations,” Applied Energy, vol. 417, Art. no. 127984, 2026, doi: 10.1016/j.apenergy.2026.127984.
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2025 | Journal Article | LibreCat-ID: 64870
M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” IEEE Access, vol. 13, pp. 218141–218153, 2025, doi: 10.1109/access.2025.3648056.
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2025 | Conference Paper | LibreCat-ID: 63397 | 
D. R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, and O. Müller, “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 3, pp. 19–31, doi: 10.1145/3777518.3777520.
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2025 | Conference Paper | LibreCat-ID: 63400 |
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 2, pp. 4–10, doi: 10.1145/3757892.3757893.
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2025 | Conference Paper | LibreCat-ID: 63525 |
H. Halimeh and O. Müller, “Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations,” presented at the The Second International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2025, Prague, Czech Republic, 2025, doi: 10.1007/978-3-032-13342-7.
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2025 | Working Paper | LibreCat-ID: 63026
M. Althaus et al., Positionspapier Use Case 1: Vernetzte Kulturplattformen. Universität Paderborn, SICP, 2025.
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2025 | Conference Paper | LibreCat-ID: 60680
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems,” presented at the European Conference on Information Systems, Amman, Jordan, 2025.
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2025 | Conference Paper | LibreCat-ID: 61098
S. B. Kaltenpoth, A. M. Skolik, O. Müller, and D. Beverungen, “A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules,” presented at the 23rd International Conference on Business Process Management, Sevilla, 2025, doi: 10.1007/978-3-032-02867-9_19.
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2025 | Journal Article | LibreCat-ID: 61160
S. B. Kaltenpoth and O. 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, vol. 4, no. 4, pp. 16–22, 2025, doi: 10.1145/3717413.3717415.
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2024 | Journal Article | LibreCat-ID: 53130 |
M. Stumpe, P. Dieter, G. Schryen, O. Müller, and D. 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
K. Bösch, O. Müller, and M. Weinmann, “Not your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML,” 2024.
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2024 | Journal Article | LibreCat-ID: 55500
R. Gitzel et al., “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts,” IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3437195.
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2024 | Conference Paper | LibreCat-ID: 56945
S. B. Kaltenpoth and O. Müller, “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment,” 2024.
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2023 | Conference Paper | LibreCat-ID: 37312 |
D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 50431 |
H. Halimeh, F. Freese, and O. Müller, “Event Recommendations through the Lens of Vision and Language Foundation Models,” presented at the 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 |
H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 37058
K. Brennig and O. Müller, “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency,” presented at the 56th Hawaii International Conference on System Sciences, Lāhainā, 2023.
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