100 citations · 881 across the 39 of their papers we have counts for
42 papers
Follow the money: a startup-based measure of AI exposure across occupations, industries and regions
Enrico Maria Fenoaltea, Dario Mazzilli, Aurelio Patelli +5
The integration of artificial intelligence (AI) into the workplace is advancing rapidly, necessitating robust metrics to evaluate its tangible impact on the labour market. Existing…
Which products activate a product? An explainable machine learning approach
Massimiliano Fessina, Giambattista Albora, Andrea Tacchella +1
Tree-based machine learning algorithms provide the most precise assessment of the feasibility for a country to export a target product given its export basket. However, the high nu…
Prediction and visualization of Mergers and Acquisitions using Economic Complexity
Lorenzo Arsini, Matteo Straccamore, Andrea Zaccaria
Mergers and Acquisitions represent important forms of business deals, both because of the volumes involved in the transactions and because of the role of the innovation activity of…
Sapling Similarity: a performing and interpretable memory-based tool for recommendation
Giambattista Albora, Lavinia Rossi-Mori, Andrea Zaccaria
Many bipartite networks describe systems where an edge represents a relation between a user and an item. Measuring the similarity between either users or items is the basis of memo…
The trickle down from environmental innovation to productive complexity
Francesco de Cunzo, Alberto Petri, Andrea Zaccaria +1
We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use pa…
A Bayesian approach to translators' reliability assessment
Marco Miccheli, Andrej Leban, Andrea Tacchella +3
Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation,…