The usability of model transformation languages depends on the abstractions one can work with in rules to perform complex operations on models. Recently, we have introduced a novel...
Daniel Balasubramanian, Anantha Narayanan, Sandeep...
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
The metamodel techniques and model transformation techniques provide a standard way to represent and transform data, especially the software artifacts in software development. How...
Although there are a large number of academic and industrial model transformation frameworks available, allowing specification, implementation, maintenance and documentation of mod...
Behzad Bordbar, Gareth Howells, Michael Evans, Ath...
Abstract. Social Network (SN) data has become ubiquitous, demanding advanced and flexible means to represent, transform and query such data. In addition to the intrinsic challenge...