Professional road cycling is a very competitive sport, and many factors influence the
outcome of the race. These factors can be internal (eg, psychological preparedness …

Rankings distill a large number of factors into simple comparative models to facilitate
complex decision making. Yet key questions remain in the design of mixed-initiative systems …

Item ranking systems support users in multi-criteria decision-making tasks. Users need to
trust rankings and ranking algorithms to reflect user preferences nicely while avoiding …

Item rankings are useful when a decision needs to be made, especially if there are multiple
attributes to be considered. However, existing tools either do not support both categorical …

In this work, we propose an interactive platform to perform grammar-guided symbolic
regression using a reinforcement learning approach from human-preference feedback. To …

Item rankings are useful when a decision needs to be made, especially if there are multiple
attributes to be considered. However, existing tools do not support both categorical and …

In the realm of autonomous vehicles, dynamic user preferences are critical yet challenging
to accommodate. Existing methods often misrepresent these preferences, either by …

Je me dois de remercier toutes les personnes grâce à qui ces années se sont passées dans
les meilleures conditions possibles et ont contribué de près ou de loin à la réussite de cette …

In this paper, we develop a novel approach to help drivers of electric vehicles (EVs) plan
charging stops on long journeys. A key challenge here is eliciting the highly heterogeneous …

Decision-making, often characterized as one of the most complex aspects of our daily tasks,
extends through diverse contexts, each with varying degrees of associated risk and …