Search Results for author: Andrea Tacchella

Found 3 papers, 0 papers with code

Which products activate a product? An explainable machine learning approach

no code implementations5 Dec 2022 Massimiliano Fessina, Giambattista Albora, Andrea Tacchella, Andrea Zaccaria

In this paper, we propose a procedure to statistically validate the importance of the products used in the feasibility assessment.

Feature Importance

A Bayesian approach to translators' reliability assessment

no code implementations14 Mar 2022 Marco Miccheli, Andrej Leban, Andrea Tacchella, Andrea Zaccaria, Dario Mazzilli, Sébastien Bratières

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, and for finding an agreement between translation providers and their customers.

Machine Translation Translation

Product Progression: a machine learning approach to forecasting industrial upgrading

no code implementations31 May 2021 Giambattista Albora, Luciano Pietronero, Andrea Tacchella, Andrea Zaccaria

Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework.

BIG-bench Machine Learning

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