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.

Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41.https://doi.org/10.1080/12460125.2023.2207268 

Beverungen, D., Kundisch, D., Mirbabaie, M., Müller, O., Schryen, G., Trang, S. T.-N., &; Trier, M. (2023). Digital Responsibility – a Multilevel Framework for Responsible Digitalization. Business &; Information Systems Engineering, 65(4), 463–474.https://doi.org/10.1007/s12599-023-00822-x 

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.

Leffrang, D. (2023). AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization. International Conference on Information Systems, 10.

Leffrang, D. (2023). The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization. Wirtschaftsinformatik Conference, 19.

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.

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.

Reimann, R., &; Caron, M. (2023). Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach. Wirtschaftsinformatik. Wirtschaftsinformatik, Paderborn, Germany.

Brennig, K., &; Müller, O. (2023). More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency. Hawaii International Conference on System Sciences.  56th Hawaii International Conference on System Sciences, Lhain.

Brock, J., Löhr, B., Brennig, K., Seger, T., Bartelheimer, C., von Enzberg, S., Kühn, A., &; Dumitrescu, R. (2023). A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities. European Conference on Information Systems.

Brennig, K., Benkert, K., Löhr, B., &; Müller, O. (2023). Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter? In Business Process Management Workshops.https://doi.org/10.1007/978-3-031-50974-2_33 

Kucklick, J.-P. (2022). Visual Interpretability of Image-based Real Estate Appraisal. 55th Annual Hawaii International Conference on System Sciences (HICSS-55). Hawaii International Conference on System Science (HICSS), Virtual.

Kucklick, J.-P. (2022). Towards a model- and data-focused taxonomy of XAI systems. Wirtschaftsinformatik 2022 Proceedings. Wirtschaftsinformatik 2022 (W), Nürnberg (online).

Shollo, A., Hopf, K., Thiess, T., &; Müller, O. (2022). Shifting ML value creation mechanisms: A process model of ML value creation. The Journal of Strategic Information Systems, 31(3), Article 101734.https://doi.org/10.1016/j.jsis.2022.101734 

Kucklick, J.-P., &; Müller, O. (2022). Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal. ACM Transactions on Management Information Systems.https://doi.org/10.1145/3567430 

Löhr, B., Brennig, K., Bartelheimer, C., Beverungen, D., &; Müller, O. (2022). Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing. International Conference on Business Process Management.https://doi.org/10.1007/978-3-031-16103-2_18 

Caron, M. (2022). Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. 2022 IEEE International Conference on Big Data (Big Data). 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan.https://doi.org/10.1109/bigdata55660.2022.10020933 

Caron, M., Bäumer, F. S., &; Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. 55th Hawaii International Conference on System Sciences (HICSS). 55th Hawaii International Conference on System Sciences (HICSS), Online.

Kucklick, J.-P., &; Müller, O. (2021). A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal. In  The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services.