In this paper, we propose two speculation-based methods for fast and accurate simulation-based performance and dependability analysis of complex systems, incorporating detailed si...
Yiqing Huang, Zbigniew Kalbarczyk, Ravishankar K. ...
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Simulation has been the method of choice for analyzing large, complex, and highly volatile systems. One of these systems is the inter-domain routing infrastructure of the Internet...
Peer-to-Peer (P2P) systems are known to provide excellent scalability in a networked environment. One peer is introduced to the system by each participant. However current P2P app...
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...