This paper presents a framework for context-aware applications, with a particular focus on collaboration and pervasiveness. The framework relies on distributed ontologies, which ar...
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automate...
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
This paper describes FAST, a novel simulation methodology that can produce simulators that (i) are orders of magnitude faster than comparable simulators, (ii) are cycleaccurate, (...
Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil A. Pa...