52 citations · 96 across the 8 of their papers we have counts for
9 papers
Maximum Entropy Approach for the Prediction of Urban Mobility Patterns
Simone Daniotti, Bernardo Monechi, Enrico Ubaldi
The science of cities is a relatively new and interdisciplinary topic. It borrows techniques from agent-based modeling, stochastic processes, and partial differential equations. Ho…
Urban Economic Fitness and Complexity from Patent Data
Matteo Straccamore, Matteo Bruno, Bernardo Monechi +1
Over the years, the growing availability of extensive datasets about registered patents allowed researchers to better understand technological innovation drivers. In this work, we…
Social interactions affect discovery processes
Gabriele Di Bona, Enrico Ubaldi, Iacopo Iacopini +3
Our network of acquaintances determines how we get exposed to ideas, products, or cultural artworks (books, music, movies, etc.). Though this principle is part of our common sense,…
Corrigendum and addendum to: How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning
Jessica Di Cocco, Bernardo Monechi
This paper is a corrigendum and addendum to the previously published article: 'How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine…
Hamiltonian Modeling of Macro-Economic Urban Dynamics
Bernardo Monechi, Miguel Ibáñez-Berganza, and Vittorio Loreto
The ongoing rapid urbanization phenomena make the understanding of the evolution of urban environments of utmost importance to improve the well-being and steer societies towards be…
Unsupervised inference approach to facial attractiveness
Miguel Ibáñez-Berganza, Ambra Amico, Gian Luca Lancia +3
The perception of facial beauty is a complex phenomenon depending on many, detailed and global facial features influencing each other. In the machine learning community this proble…