Diagram-based UML notation is limited in its expressiveness thus producing a model that would be severely underspecified. The flaws in the limitation of the UML diagrams are solve...
Luis Reynoso, Marcela Genero, Mario Piattini, M. E...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Modern computer systems are based on a wide variety of software servers, such as web servers, application servers, database servers, and mail servers. The typical software archite...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...