413 citations · 2k across the 87 of their papers we have counts for
5 papers · 1 filter
Semi-supervised learning by search of optimal target vector
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro +1
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labelled points vanishes. Our approach is based on the notion…
Identification of network modules by optimization of ratio association
Leonardo Angelini, Stefano Boccaletti, Daniele Marinazzo +2
We introduce a novel method for identifying the modular structures of a network based on the maximization of an objective function: the ratio association. This cost function arises…
Causal interactions and delays in a neuronal ensemble
Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
We analyze a neural system which mimics a sensorial cortex, with different input characteristics, in presence of transmission delays. We propose a new measure to characterize colle…
Natural clustering: the modularity approach
L. Angelini, D. Marinazzo, M. Pellicoro +1
We show that modularity, a quantity introduced in the study of networked systems, can be generalized and used in the clustering problem as an indicator for the quality of the solut…
Nonlinear parametric model for Granger causality of time series
Daniele Marinazzo, Mario Pellicoro, Sebastiano Stramaglia
We generalize a previously proposed approach for nonlinear Granger causality of time series, based on radial basis function. The proposed model is not constrained to be additive in…