65 citations · 150 across the 13 of their papers we have counts for
3 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…
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…
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…