134 citations · 548 across the 33 of their papers we have counts for
7 papers · 1 filter
Quality Diversity Evolutionary Learning of Decision Trees
Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca
Addressing the need for explainable Machine Learning has emerged as one of the most important research directions in modern Artificial Intelligence (AI). While the current dominant…
The emergence of division of labor through decentralized social sanctioning
Anil Yaman, Joel Z. Leibo, Giovanni Iacca +1
Human ecological success relies on our characteristic ability to flexibly self-organize into cooperative social groups, the most successful of which employ substantial specializati…
Reinforcement learning based adaptive metaheuristics
Michele Tessari, Giovanni Iacca
Parameter adaptation, that is the capability to automatically adjust an algorithm's hyperparameters depending on the problem being faced, is one of the main trends in evolutionary…
Interpretable AI for policy-making in pandemics
Leonardo Lucio Custode, Giovanni Iacca
Since the first wave of the COVID-19 pandemic, governments have applied restrictions in order to slow down its spreading. However, creating such policies is hard, especially becaus…
Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols
Anil Yaman, Tim van der Lee, Giovanni Iacca
With the advent of cheap, miniaturized electronics, ubiquitous networking has reached an unprecedented level of complexity, scale and heterogeneity, becoming the core of several mo…
Large-scale multi-objective influence maximisation with network downscaling
Elia Cunegatti, Giovanni Iacca, Doina Bucur
Finding the most influential nodes in a network is a computationally hard problem with several possible applications in various kinds of network-based problems. While several metho…
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs
Leonardo Lucio Custode, Giovanni Iacca
The importance of explainability in AI has become a pressing concern, for which several explainable AI (XAI) approaches have been recently proposed. However, most of the available…