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73 Publications
2026 | Journal Article | LibreCat-ID: 65105
zur Heiden, P., Halimeh, H., Hansmeier, P., Vorbohle, C., Althaus, M., Beverungen, D., Kundisch, D., & Müller, O. (n.d.). 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: 65810
Zapata Gonzalez, D. R., Meyer, M., Zalipski, K., & Müller, O. (2026). Temporal causal feature selection for robust machine learning modelling of data center operations. Applied Energy, 417, Article 127984. https://doi.org/10.1016/j.apenergy.2026.127984
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2026 | Conference Paper | LibreCat-ID: 66903
Meyer, M., Kaltenpoth, S. B., Albers, H., Zalipski, K., & Müller, O. (2026). TS-Arena -- A Live Forecast Pre-Registration Platform. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. https://doi.org/10.1145/3770855.3817515
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2025 | Book Chapter | LibreCat-ID: 58724
Brennig, K., Kaltenpoth, S. B., & Müller, O. (2025). Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction? In Lecture Notes in Business Information Processing. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78666-2_15
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2025 | Conference Paper | LibreCat-ID: 63524 | 
Halimeh, H., Freese, F., & Müller, O. (2025). LLMs For Warm and Cold Next-Item Recommendation: A Comparative Study across Zero-Shot Prompting, In-Context Learning and Fine-Tuning. International Conference on Information Systems Development. https://doi.org/10.62036/isd.2025.68
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2025 | Conference Paper | LibreCat-ID: 63523 |
Halimeh, H., & zur Heiden, P. (2025). Preserving Sovereignty and Privacy for Personalization: Designing a Federated Recommendation System for Data Spaces. 2025 27th International Conference on Business Informatics (CBI). https://doi.org/10.1109/cbi68102.2025.00019
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2025 | Conference Paper | LibreCat-ID: 63525 |
Halimeh, H., & Müller, O. (2025). Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations. The Second International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2025, Prague, Czech Republic. https://doi.org/10.1007/978-3-032-13342-7
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2025 | Working Paper | LibreCat-ID: 63026
Althaus, M., Beverungen, D., Flath, B., Halimeh, H., Hansmeier, P., zur Heiden, P., Kundisch, D., Müller, M., Müller, O., Oberthür, S., Vorbohle, C., Momen Pour Tafreshi, M., Mauß, S., Mücke, A., Müller, J., Peter, M., Schmitt-Chandon, A., Sellerberg, K., & Steinhäuser, M. (2025). Positionspapier Use Case 1: Vernetzte Kulturplattformen.
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2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems. European Conference on Information Systems, Amman, Jordan.
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2025 | Conference Paper | LibreCat-ID: 60958
Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. AMCIS 2025 Proceedings. 11. Americas Conference on Information Systems, Montréal.
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2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study. ACM SIGEnergy Energy Informatics Review, 5(2), 4–10. https://doi.org/10.1145/3757892.3757893
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2025 | Journal Article | LibreCat-ID: 64870
Meyer, M., Zapata Gonzalez, D. R., Kaltenpoth, S. B., & Müller, O. (2025). Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting. IEEE Access, 13, 218141–218153. https://doi.org/10.1109/access.2025.3648056
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2024 | Journal Article | LibreCat-ID: 53130 |
Stumpe, M., Dieter, P., Schryen, G., Müller, O., & Beverungen, D. (2024). Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. Transportation Research Part A: Policy and Practice.
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2024 | Conference Abstract | LibreCat-ID: 55096
Bösch, K., Müller, O., & Weinmann, M. (2024). Not your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML. Proceedings of the Symposium on Statistical Challenges in Electronic Commerce Research.
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2024 | Conference Paper | LibreCat-ID: 56945
Kaltenpoth, S. B., & Müller, O. (2024). Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment. Wirtschaftsinformatik 2024 Proceedings.
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2023 | Conference Paper | LibreCat-ID: 37312 |
Leffrang, D., Bösch, K., & Müller, O. (2023). Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time. Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.
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2023 | Conference Paper | LibreCat-ID: 50121
Leffrang, D. (2023). AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization. International Conference on Information Systems, 10.
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2023 | Conference Paper | LibreCat-ID: 50118
Leffrang, D. (2023). The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization. Wirtschaftsinformatik Conference, 19.
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2023 | Conference Paper | LibreCat-ID: 50431 |
Halimeh, H., Freese, F., & Müller, O. (2023). Event Recommendations through the Lens of Vision and Language Foundation Models. Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems. Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference on Recommender Systems.
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2023 | Conference Paper | LibreCat-ID: 45270 |
Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.
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