Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Despite years of study, branch mispredictions remain as a significant performance impediment in pipelined superscalar processors. In general, the branch misprediction penalty can...
For software development, testing is still the primary choice for investigating the correctness of a system. Automated testing is of utmost importance to support continuous integra...
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...