Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
In the human, society, interconnection environment and systems methodology perspectives, this paper answers the following questions: What are the Knowledge Grid and its distinguis...
Execution time estimation of software at source-level is nowadays a crucial phase of the system design flow, especially for portable devices and real-time systems. From a source-...
Carlo Brandolese, William Fornaciari, Fabio Salice...
This review presents a review of prevalent results within research pertaining to emergent cooperation in biologically inspired artificial social systems. Results reviewed maintain ...