31 citations · 80 across the 7 of their papers we have counts for
8 papers
Semantic Space Search Trajectory Networks
Julian Agudelo, Alberto Tonda, Gabriela Ochoa +3
Search Trajectory Networks (STNs) are a graph-based tool for visualizing and characterizing the behavior of optimization algorithms. STNs' reliance on discretization of the search…
Optimizing Hearthstone Agents using an Evolutionary Algorithm
Pablo García-Sánchez, Alberto Tonda, Antonio J. Fernández-Leiva +1
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game…
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini +7
Deep learning methods are highly accurate, yet their opaque decision process prevents them from earning full human trust. Concept-based models aim to address this issue by learning…
Categorical Foundations of Explainable AI: A Unifying Theory
Pietro Barbiero, Stefano Fioravanti, Francesco Giannini +3
Explainable AI (XAI) aims to address the human need for safe and reliable AI systems. However, numerous surveys emphasize the absence of a sound mathematical formalization of key X…
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks
Soumita Das, Bijita Singha, Alberto Tonda +1
Nature-inspired optimization Algorithms (NIOAs) are nowadays a popular choice for community detection in social networks. Community detection problem in social network is treated a…
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…
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…
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…