Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
The INESC Porto group has participated in the search task (automatic and interactive). Our approach combines high-level features (the 39 concepts of the LSCOM-Lite set) with low-l...
Catalin Calistru, Cristina Ribeiro, Gabriel David,...
It is widely recognized that complexity of metabolic networks arises from duplication, recruitment and recombination of enzyme protein domains. However, variations of the domain ev...
Context-oriented programming proposes to treat execution context explicitly and to provide means for context-dependent adaptation at runtime. There are many mechanisms that can be...
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...