ThiJ puper addresses the issue of dynamic similarity and intensive property invariance in scaled bilateral naunipulation, and ofsers a design methodology bused on these considerat...
We consider the ranking and selection of normal means in a fully sequential Bayesian context. By considering the sampling and stopping problems jointly rather than separately, we ...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
We present a new sequential, eliminating procedure for selecting the best system in a single-factor Bernoulli-response experiment with an odds-ratio indifference zone, where best ...
To ensure multi-agent based simulation models reproducibility, particular attention must be payed on its possible implementation ambiguities. This concerns every aspect of simulat...