Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
This study used remotely-sensed phenology data derived from Advanced Very High Resolution Radiometer (AVHRR), in a fully supervised decision-tree classification based on the new b...
Konrad J. Wessels, Karen Steenkamp, Graham Von Mal...
In todays increasingly dynamic and competitive business environment, organizations strive to leverage their information resources to gain and sustain competitive advantage. Deci...
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Recent research has proposed efficient protocols for distributed triggers, which can be used in monitoring infrastructures to maintain system-wide invariants and detect abnormal ...
Ling Huang, Minos N. Garofalakis, Joseph M. Heller...