The ability to quickly locate one or more instances of a model in a grey scale image is of importance to industry. The recognition/localization must be fast and accurate. In this p...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
As levels of parallelism are becoming increasingly complex in multiprocessor architectures, GALS, and asynchronous circuits, methodologies and software tools are needed to verify ...
Nicolas Coste, Hubert Garavel, Holger Hermanns, Ri...
Allowing loads to issue out-of-order with respect to earlier unresolved store addresses is very important for extracting parallelism in large-window superscalar processors. Blindl...