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.

Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.”https://doi.org/10.1080/12460125.2023.2207268__Journal of Decision Systems, 2023, 1–41.https://doi.org/10.1080/12460125.2023.2207268 .

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.”https://doi.org/10.1007/s12599-023-00822-x__Business &; Information Systems Engineering 65, no. 4 (2023): 463–74.https://doi.org/10.1007/s12599-023-00822-x .

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.

Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization.” In International Conference on Information Systems, 2023.

Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik Conference, 2023.

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.

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.

Reimann, Raphael, and Matthew Caron. “Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach.” In Wirtschaftsinformatik, 2023.

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.

Brock, Jonathan, Bernd Löhr, Katharina Brennig, Thilo Seger, Christian Bartelheimer, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “A Process Mining Maturity Model: Enabling Organizations to Assess and Improve Their Process Mining Activities.” In European Conference on Information Systems, 2023.

Brennig, Katharina, Kay Benkert, Bernd Löhr, and Oliver Müller. “Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?”https://doi.org/10.1007/978-3-031-50974-2_33__In Business Process Management Workshops, 2023.https://doi.org/10.1007/978-3-031-50974-2_33 .

Kucklick, Jan-Peter. “Visual Interpretability of Image-Based Real Estate Appraisal.” In 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.

Kucklick, Jan-Peter. “Towards a Model- and Data-Focused Taxonomy of XAI Systems.” In Wirtschaftsinformatik 2022 Proceedings, 2022.

Shollo, Arisa, Konstantin Hopf, Tiemo Thiess, and Oliver Müller. “Shifting ML Value Creation Mechanisms: A Process Model of ML Value Creation.”https://doi.org/10.1016/j.jsis.2022.101734__The Journal of Strategic Information Systems 31, no. 3 (2022).https://doi.org/10.1016/j.jsis.2022.101734 .

Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate Appraisal.”https://doi.org/10.1145/3567430__ACM Transactions on Management Information Systems, 2022.https://doi.org/10.1145/3567430 .

Löhr, Bernd, Katharina Brennig, Christian Bartelheimer, Daniel Beverungen, and Oliver Müller. “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing.”https://doi.org/10.1007/978-3-031-16103-2_18__In International Conference on Business Process Management, 2022.https://doi.org/10.1007/978-3-031-16103-2_18 .

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

Caron, Matthew, Frederik S. Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In 55th Hawaii International Conference on System Sciences (HICSS), 2022.

Kucklick, Jan-Peter, and Oliver Müller. “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, 2021.