activity
20102023
most citedFeature Construction for Relational Sequence Learning

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2023

The World Literature Knowledge Graph

Marco Antonio Stranisci, Eleonora Bernasconi, Viviana Patti +3

Digital media have enabled the access to unprecedented literary knowledge. Authors, readers, and scholars are now able to discover and share an increasing amount of information abo…

cs.AI2011

GRASP and path-relinking for Coalition Structure Generation

Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1

In Artificial Intelligence with Coalition Structure Generation (CSG) one refers to those cooperative complex problems that require to find an optimal partition, maximising a social…

cs.AI2010

Analysing the behaviour of robot teams through relational sequential pattern mining

Grazia Bombini, Raquel Ros, Stefano Ferilli +1

This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of…

cs.AI2010★ 4 cited

Feature Construction for Relational Sequence Learning

Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1

We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relat…

cs.AI2010★ 3 cited

GRASP for the Coalition Structure Formation Problem

Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli +1

The coalition structure formation problem represents an active research area in multi-agent systems. A coalition structure is defined as a partition of the agents involved in a sys…