Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...
Computer simulation is effective in improving the efficiency of manufacturing system design, operation, and maintenance. Most simulation models are usually tailored to address a n...
There has been a growing interest to develop technologies for laboratory environments. However, existing systems are underdeployed in real research labs. In order to create more s...
This work is done as part of the Tacos project1 whose aims is to define a component-based approach to specify trustworthy systems from the requirements phase to the specification p...
Recent advent of the asymmetric multi-core processors such as Cell Broadband Engine (Cell/BE) has popularized the use of heterogeneous architectures. A growing body of research is...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...