Corrado Monti. “Classi Sociali Nelle Elezioni 2018 e 2019: Un’analisi Bayesiana Del Voto.” Centro Studi Argo, September 2019.
We drove on the whole Hringvegur (Route 1) in Iceland, between the 21st and the 27th of May 2017. We recorded a large part of it. This is the 18x time lapse of what we recorded.
I received my PhD in Computer Science from the University of Milan, advised by Paolo Boldi, as a part of the Laboratory of Web Algorithmics.
My PhD dissertation dealt with how to perform inference in complex networks when you have a great number of attributes (or features) on their nodes. For instance, you can discover that some features might repel each other or attract each other, fostering or hindering links. Discovering these patterns allows to ask which groups of features have more effect, or to look for unusual interactions.
If you're interested, here's
Paper: Latent interactions in large graphs
Corrado Monti and Paolo Boldi. “Estimating Latent Feature-Feature Interactions in Large Feature-Rich Graphs.” Internet Mathematics, 2017.
Paper: Cleansing Wikipedia Categories
Paper: Latent Categories for Unexpected Relations
Paper: A network model with latent attributes
Paper: Recommending Music through Viscous Democracy
Paper: Political Disaffection from Twitter
Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, and Elanor Colleoni. “Modelling Political Disaffection from Twitter Data.” In Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 3, 2013.