Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations. - Giulio Cimini; Andrea Zaccaria; Andrea Gabrielli (J. Informetrics, 2016)

Unfolding the innovation system for the development of countries: co-evolution of Science, Technology and Production. - Emanuele Pugliese; Giulio Cimini; Aurelio Patelli; Andrea Zaccaria; Luciano Pietronero; Andrea Gabrielli (CoRR, 2017)

Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study. - Andrea Tacchella; Silvia Romano; Michela Ferraldeschi; Marco Salvetti; Andrea Zaccaria; Andrea Crisanti; Francesca Grassi (F1000Research, 2017)

PopRank: Ranking pages' impact and users' engagement on Facebook. - Andrea Zaccaria; Michela Del Vicario; Walter Quattrociocchi; Antonio Scala; Luciano Pietronero (CoRR, 2018)

The Role of Complex Analysis in Modelling Economic Growth. - Angelica Sbardella; Emanuele Pugliese; Andrea Zaccaria; Pasquale Scaramozzino (Entropy, 2018)

AI Specialization for Pathways of Economic Diversification. - Saurabh Mishra; Robert Koopman; Giuditta De Prato; Anand S. Rao; Israel Osorio-Rodarte; Julie Kim; Nikola Spatafora; Keith Strier; Andrea Zaccaria (CoRR, 2021)

Meta-validation of bipartite network projections. - Giulio Cimini; Alessandro Carra; Luca Didomenicantonio; Andrea Zaccaria (CoRR, 2021)

Product Progression: a machine learning approach to forecasting industrial upgrading. - Giambattista Albora; Luciano Pietronero; Andrea Tacchella; Andrea Zaccaria (CoRR, 2021)

Citations or dollars? Early signals of a firm's research success. - Shuqi Xu; Manuel Sebastian Mariani; Linyuan Lü; Lorenzo Napolitano; Emanuele Pugliese; Andrea Zaccaria (CoRR, 2021)

Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data. - Giambattista Albora; Andrea Zaccaria (Complex., 2022)

Firm-based relatedness using machine learning. - Giambattista Albora; Andrea Zaccaria (CoRR, 2022)

A Bayesian approach to translators' reliability assessment. - Marco Miccheli; Andrea Tacchella; Andrea Zaccaria; Dario Mazzilli; Sébastien Bratières; Luciano Pietronero (CoRR, 2022)

Sapling Similarity outperforms other local similarity metrics in collaborative filtering. - Giambattista Albora; Lavinia Rossi Mori; Andrea Zaccaria (CoRR, 2022)

Which products activate a product? An explainable machine learning approach. - Massimiliano Fessina; Giambattista Albora; Andrea Tacchella; Andrea Zaccaria (CoRR, 2022)

Asymmetric Relatedness from Partial Correlation. - Carlos Saenz de Pipaon Perez; Andrea Zaccaria; Tiziana di Matteo (Entropy, 2022)

Sapling Similarity: A performing and interpretable memory-based tool for recommendation. - Giambattista Albora; Lavinia Rossi Mori; Andrea Zaccaria (Knowl. Based Syst., 2023)

Uncovering key predictors of high-growth firms via explainable machine learning. - Yiwei Huang; Shuqi Xu; Linyuan Lü; Andrea Zaccaria; Manuel Sebastian Mariani (CoRR, 2024)

Follow the money: a startup-based measure of AI exposure across occupations, industries and regions. - Enrico Maria Fenoaltea; Dario Mazzilli; Aurelio Patelli; Angelica Sbardella; Andrea Tacchella; Andrea Zaccaria; Marco Trombetti; Luciano Pietronero (CoRR, 2024)