This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
ACE analysis is a technique to provide an early reliability estimate for microprocessors. ACE analysis couples data from performance models with low level design details to identi...
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...
Extensive measurement studies have shown that end-to-end Internet path performance degradation is correlated with routing dynamics. However, the root cause of the correlation betw...
A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the B...
Carlos H. A. Higa, Vitor H. P. Louzada, Ronaldo Fu...