AI for Explaining Decisions in Multi-Agent Environments. - Sarit Kraus; Amos Azaria; Jelena Fiosina; Maike Greve; Noam Hazon; Lutz M. Kolbe; Tim-Benjamin Lembcke; Jörg P. Müller; Sören Schleibaum; Mark Vollrath (AAAI, 2020)

Human-Centric Ridesharing on Large Scale by Explaining AI-Generated Assignments. - Sören Schleibaum; Jörg P. Müller (GOODTECHS, 2020)

How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. - Sören Schleibaum; Maike Greve; Tim-Benjamin Lembcke; Amos Azaria; Jelena Fiosina; Noam Hazon; Lutz M. Kolbe; Sarit Kraus; Jörg P. Müller; Mark Vollrath (VEHITS, 2020)

On the Influence of Grid Cell Size on Taxi Demand Prediction. - Merlin Korth; Sören Schleibaum; Jörg P. Müller; Rüdiger Ehlers (GOODTECHS, 2022)

An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival. - Sören Schleibaum; Jörg P. Müller; Monika Sester (CoRR, 2022)

Explaining Taxi Demand Prediction Models Based on Feature Importance. - Eric Loff; Sören Schleibaum; Jörg P. Müller; Benjamin Säfken (ECAI Workshops (1), 2023)

ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments. - Sören Schleibaum; Lu Feng 001; Sarit Kraus; Jörg P. Müller (IJCAI, 2024)