68 citations · 86 across the 15 of their papers we have counts for
17 papers
Human-Like Trajectories Generation via Receding Horizon Tracking Applied to the TickTacking Interface
Daniele Masti, Stefano Menchetti, Çağrı Erdem +2
TickTacking is a rhythm-based interface that allows users to control a pointer in a two-dimensional space through dual-button tapping. This paper investigates the generation of hum…
Counter-example guided inductive synthesis of control Lyapunov functions for uncertain systems
Daniele Masti, Filippo Fabiani, Giorgio Gnecco +1
We propose a counter-example guided inductive synthesis (CEGIS) scheme for the design of control Lyapunov functions and associated state-feedback controllers for linear systems aff…
Hierarchical Clustering and Matrix Completion for the Reconstruction of World Input-Output Tables
Rodolfo Metulini, Giorgio Gnecco, Francesco Biancalani +1
World Input-Output (I/O) matrices provide the networks of within- and cross-country economic relations. In the context of I/O analysis, the methodology adopted by national statisti…
Matrix Completion of World Trade
Gnecco Giorgio, Nutarelli Federico, Riccaboni Massimo
This work applies Matrix Completion (MC) -- a class of machine-learning methods commonly used in the context of recommendation systems -- to analyse economic complexity. MC is appl…
On principal component analysis of the convex combination of two data matrices and its application to acoustic metamaterial filters
Giorgio Gnecco, Andrea Bacigalupo
In this short paper, a matrix perturbation bound on the eigenvalues found by principal component analysis is investigated, for the case in which the data matrix on which principal…
Principal Component Analysis Applied to Gradient Fields in Band Gap Optimization Problems for Metamaterials
Giorgio Gnecco, Andrea Bacigalupo, Francesca Fantoni +1
A promising technique for the spectral design of acoustic metamaterials is based on the formulation of suitable constrained nonlinear optimization problems. Unfortunately, the stra…
A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy
Selene Perazzini, Giorgio Stefano Gnecco, Fabio Pammolli
This paper proposes a public-private insurance scheme for earthquakes and floods in Italy in which property-owners, the insurer and the government co-operate in risk financing. Our…
Machine-learning techniques for the optimal design of acoustic metamaterials
Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi +1
Recently, an increasing research effort has been dedicated to analyse the transmission and dispersion properties of periodic acoustic metamaterials, characterized by the presence o…
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
Falco J. Bargagli-Stoffi, Kristof De-Witte, Giorgio Gnecco
This paper introduces an innovative Bayesian machine learning algorithm to draw interpretable inference on heterogeneous causal effects in the presence of imperfect compliance (e.g…
Complex frequency band structure of periodic thermo-diffusive materials by Floquet-Bloch theory
Andrea Bacigalupo, Maria Laura De Bellis, Giorgio Gnecco
This work deals with the micromechanical study of periodic thermo-diffusive elastic multi-layered materials, which are of interest for the fabrication of solid oxide fuel cells (SO…
Parameters estimation in a 3-parameters p-star model
Pietro Lenarda, Giorgio Gnecco, Massimo Riccaboni
An important issue in social network analysis refers to the development of algorithms for estimating optimal parameters of a social network model, using data available from the net…
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms
Falco J. Bargagli-Stoffi, Giorgio Gnecco
This paper provides a link between causal inference and machine learning techniques - specifically, Classification and Regression Trees (CART) - in observational studies where the…
Optimal design of low-frequency band gaps in anti-tetrachiral lattice meta-materials
Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi +1
The elastic wave propagation is investigated in the beam lattice material characterized by a square periodic cell with anti-tetrachiral microstructure. With reference to the Floque…
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems
Giorgio Gnecco
A particularly interesting instance of supervised learning with kernels is when each training example is associated with two objects, as in pairwise classification (Brunner et al.,…
LQG Online Learning
Giorgio Gnecco, Alberto Bemporad, Marco Gori +1
Optimal control theory and machine learning techniques are combined to formulate and solve in closed form an optimal control formulation of online learning from supervised examples…
Design of acoustic metamaterials through nonlinear programming
Andrea Bacigalupo, Giorgio Gnecco, Marco Lepidi +1
The dispersive wave propagation in a periodic metamaterial with tetrachiral topology and inertial local resonators is investigated. The Floquet-Bloch spectrum of the metamaterial i…
Optimal design of auxetic hexachiral metamaterials with local resonators
Andrea Bacigalupo, Marco Lepidi, Giorgio Gnecco +1
A parametric beam lattice model is formulated to analyse the propagation properties of elastic in-plane waves in an auxetic material based on a hexachiral topology of the periodic…