Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discr...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
Hierarchical models are commonly used to organize a Website's content. A Website's content structure can be represented by a topic hierarchy, a directed tree rooted at a...
More and more resources are becoming available on the Web, and there is a growing need for infrastructures that, based on advertised descriptions, are able to semantically match d...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco M....