— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...
We present Hector, a software tool for combining different abstraction methods to extract sound models of heap-manipulating imperative programs with recursion. Extracted models ma...
This article considers the coordination language Reo, a Petri net variant called zero-safe nets, and intuitionistic temporal linear logic (ITLL). The first part examines the seman...
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...