Browsing by Author "Sole, Lavinia"

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    Supervised Models to Support Investigations of Ancient Coins
    (The Eurographics Association, 2025) Naso, Luca; Sole, Lavinia; Patti, Andrea; Armetta, Francesco; Celso, Fabrizio Lo; Patatu, Wladimiro Carlo; Saladino, Maria Luisa; Campana, Stefano; Ferdani, Daniele; Graf, Holger; Guidi, Gabriele; Hegarty, Zackary; Pescarin, Sofia; Remondino, Fabio
    This paper presents the initial findings of the ongoing MML-ARCH project, which uses machine learning (ML) algorithms to create predictive, supervised models for analyzing archaeological, numismatic and physicochemical data. Specifically, the study proposes using convolutional neural network (CNN) algorithms to predict the minting year of ancient Roman Republican coins based on the iconography on the obverse and reverse.