66 citations · 80 across the 3 of their papers we have counts for
6 papers
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…
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…
Kernel method for clustering based on optimal target vector
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro +1
We introduce the notion of optimal target vector, and describe how it creates a link between supervised and unsupervised learning. We exploit this notion to construct Ising models,…
Steady-state visual evoked potentials and phase synchronization in migraine
L. Angelini, M. De Tommaso, M. Guido +8
We investigate phase synchronization in EEG recordings from migraine patients. We use the analytic signal technique, based on the Hilbert transform, and find that migraine brains a…
Phase shifts of synchronized oscillators and the systolic/diastolic blood pressure relation
L. Angelini, G. Lattanzi, R. Maestri +6
We study the phase-synchronization properties of systolic and diastolic arterial pressure in healthy subjects. We find that delays in the oscillatory components of the time series…