16 citations · 24 across the 4 of their papers we have counts for
4 papers
Pruning Techniques for Mixed Ensembles of Genetic Programming Models
Mauro Castelli, Ivo Gonçalves, Luca Manzoni +1
The objective of this paper is to define an effective strategy for building an ensemble of Genetic Programming (GP) models. Ensemble methods are widely used in machine learning due…
Unsure When to Stop? Ask Your Semantic Neighbors
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca +1
In iterative supervised learning algorithms it is common to reach a point in the search where no further induction seems to be possible with the available data. If the search is co…
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data. This task is complicated by the huge search space of possi…
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process…