There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
This paper addresses decentralized multi-project scheduling under uncertainty. The problem instance we study is the scheduling of airport ground handling services, where aircraft ...
— In modern wireless networks the functions included into layer II have to deal with complex problems, such as security and access control, that were previously demanded to upper...
The advancement of optical networking technologies has enabled e-science applications that often require transport of large volumes of scientific data. In support of such data-in...