In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
System-level and Platform-based design, along with Transaction Level modeling (TLM) techniques and languages like SystemC, appeared as a response to the ever increasing complexity...
Bruno Albertini, Sandro Rigo, Guido Araujo, Cristi...
Abstract—In semantic matchmaking processes it is often useful, when the obtained match is not full, to provide explanations for the mismatch, to leverage further interaction and/...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco M....
Program dependence information is useful for a variety of software testing and maintenance tasks. Properly defined, control and data dependencies can be used to identify semantic...
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...