Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional Topdown or Bottom-up ap...
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...