| AI for Explaining Decisions in Multi-Agent Environments S Kraus, A Azaria, J Fiosina, M Greve, N Hazon, L Kolbe, TB Lembcke, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13534 …, 2020 | 55 | 2020 |
| Human-centric Ridesharing on Large Scale by Explaining AI-generated Assignments S Schleibaum, JP Müller Proceedings of the 6th EAI International Conference on Smart Objects and …, 2020 | 7 | 2020 |
| Enhancing Expressiveness of Models for Static Route-Free Estimation of Time of Arrival in Urban Environments S Schleibaum, JP Müller, M Sester Transportation Research Procedia 62, 432-441, 2022 | 4 | 2022 |
| How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. S Schleibaum, M Greve, TB Lembcke, A Azaria, J Fiosina, N Hazon, ... VEHITS, 157-168, 2020 | 3 | 2020 |
| On the Influence of Grid Cell Size on Taxi Demand Prediction M Korth, S Schleibaum, JP Müller, R Ehlers International Conference on Smart Objects and Technologies for Social Good …, 2022 | 2 | 2022 |
| An Explainable Stacked Ensemble Model for Static Route‐Free Estimation of Time of Arrival S Schleibaum, JP Müller, M Sester Journal of Advanced Transportation 2024 (1), 9301691, 2024 | 1 | 2024 |
| ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments S Schleibaum, L Feng, S Kraus, JP Müller arXiv preprint arXiv:2405.20705, 2024 | | 2024 |
| A Systematic Analysis of Design Choices in Short-term Taxi Demand Prediction Models S Schleibaum, J Teusch, R Ehlers, JP Müller Transportation Research Procedia 78, 554-561, 2024 | | 2024 |
| Explaining Taxi Demand Prediction Models based on Feature Importance E Loff, S Schleibaum, JP Müller, B Säfken European Conference on Artificial Intelligence, 269-284, 2023 | | 2023 |
| Towards Automated Classification of Product Data Based on Machine Learning S Schleibaum, S Kehl, P Stiefel, JP Müller Proceedings of the Design Society: DESIGN Conference 1, 375-382, 2020 | | 2020 |
