Software systems are becoming more and more complex with a large number of interacting partners often distributed over a network. A common dilemma faced by software engineers in b...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Future applications of unmanned aerial vehicles (UAVs) especially in military missions require the operation of UAVs with a high level of autonomy. Autonomous UAVs could be develo...
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
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...