Recent experimental studies have focused on the specialization of different neural structures for different types of instrumental behavior. Recent theoretical work has provided no...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
This paper investigates the use of sublexical units as a solution to handling the complex morphology with productive derivational processes, in the development of a lexical functi...
Communication plays a fundamental role in multi-agents systems. One of the main issues in the design of agent interaction protocols is the verification that a given protocol implem...
Matteo Baldoni, Cristina Baroglio, Alberto Martell...
In response to the difficulties experienced by the automotive industry in adopting new procurement technology this research investigates an emerging phenomenon: electronic interor...