Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
We consider the problem of minimizing the total weighted completion time on identical parallel machines when jobs have stochastic processing times and may arrive over time. We give...
— Various monitoring and performance evaluation tools generate considerable amount of low priority traffic. This information is not always needed in real time, and thus could of...
We consider the problem of scheduling on-line a sequence of degradable intervals in a set of k identical machines. Our objective is to find a schedule that maximizes simultaneousl...
Fabien Baille, Evripidis Bampis, Christian Lafores...
This paper considers a project scheduling problem with the objective of minimizing resource availability costs, taking into account a deadline for the project and precedence relat...