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Sören Schleibaum
Sören Schleibaum
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Title
Cited by
Cited by
Year
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
472020
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
52020
Enhancing Expressiveness of Models for Static Route-Free Estimation of Time of Arrival in Urban Environments
S Schleibaum, JP Müller, M Sester
32021
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
22022
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
22020
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival
S Schleibaum, JP Müller, M Sester
arXiv preprint arXiv:2203.09438, 2022
12022
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
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Articles 1–9