activity
20182020
most citedModeling Generalization in Machine Learning: A Methodological and Computational Study

29 citations · 32 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG202029 cited

Modeling Generalization in Machine Learning: A Methodological and Computational Study

Pietro Barbiero, Giovanni Squillero, Alberto Tonda

As machine learning becomes more and more available to the general public, theoretical questions are turning into pressing practical issues. Possibly, one of the most relevant conc…

cs.LG20203 cited

Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms

Pietro Barbiero, Giovanni Squillero, Alberto Tonda

A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data. C…

cs.CR2019

RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems

Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda +15

The recent trends for nanoelectronic computing systems include machine-to-machine communication in the era of Internet-of-Things (IoT) and autonomous systems, complex safety-critic…

cs.DS2019

The Maximum Common Subgraph Problem: A Portfolio Approach

Andrea Marcelli, Stefano Quer, Giovanni Squillero

The Maximum Common Subgraph is a computationally challenging problem with countless practical applications. Even if it has been long proven NP-hard, its importance still motivates…

cs.NE2018

Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms

D. Bucur, G. Iacca, M. Gaudesi +2

In novel forms of the Social Internet of Things, any mobile user within communication range may help routing messages for another user in the network. The resulting message deliver…