Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
Abstract. In the area of networks, a common method to enforce a security policy expressed in a high-level language is based on an ad-hoc and manual rewriting process [24]. We argue...
In this paper, we investigate whether semantic relationships between entities can be learnt from analyzing microblog posts published on Twitter. We identify semantic links between ...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
We introduce a new approach, “Dynamic Common Sub-expression Elimination (CSE)”, that dynamically eliminates common sub- expressions based on new opportunities created during s...
Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta, Ni...