A Tool for Modeling and Optimization of Residential Electricity Consumption. - Moritz Eysholdt; Ulrich Denecke; Michael Belasus; Christian Bley; Mark Eilers; Michael Erlmann; Christian Hinrichs; Malte Hurrelmann; Jörg Bremer; Barbara Rapp; Michael Sonnenschein; Ute Vogel (EnviroInfo, 2008)

Further Steps towards Driver Modeling According to the Bayesian Programming Approach. - Claus Möbus; Mark Eilers (HCI (11), 2009)

Probabilistic and Empirical Grounded Modeling of Agents in (Partial) Cooperative Traffic Scenarios. - Claus Möbus; Mark Eilers; Hilke Garbe; Malte Zilinski (HCI (11), 2009)

Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion. - Mark Eilers; Claus Möbus (HCI (17), 2011)

Predicting the Focus of Attention and Deficits in Situation Awareness with a Modular Hierarchical Bayesian Driver Model. - Claus Möbus; Mark Eilers; Hilke Garbe (HCI (17), 2011)

Learning the human longitudinal control behavior with a modular hierarchical Bayesian Mixture-of-Behaviors model. - Mark Eilers; Claus Möbus (Intelligent Vehicles Symposium, 2011)

Development of a Lane Change Assistance System Adapting to Driver's Uncertainty During Decision-Making. - Fei Yan 010; Mark Eilers; Martin Baumann 001; Andreas Lüdtke (AutomotiveUI (adjunct), 2016)

Developing a model of driver's uncertainty in lane change situations for trustworthy lane change decision aid systems. - Fei Yan 010; Mark Eilers; Andreas Lüdtke; Martin Baumann 001 (Intelligent Vehicles Symposium, 2016)

Building driver's trust in lane change assistance systems by adapting to driver's uncertainty states. - Fei Yan 010; Mark Eilers; Andreas Lüdtke; Martin Baumann 001 (Intelligent Vehicles Symposium, 2017)

Investigating Initial Driver Intention on Overtaking on Rural Roads. - Fei Yan 010; Mark Eilers; Lars Weber; Martin Baumann 001 (ITSC, 2019)