Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Software prefetching has been demonstrated as a powerful technique to tolerate long load latencies. However, to be effective, prefetching must target the most critical (frequently...
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...