3 citations · 5 across the 5 of their papers we have counts for
5 papers
Modeling non-linear Effects with Neural Networks in Relational Event Models
Edoardo Filippi-Mazzola, Ernst C. Wit
Dynamic networks offer an insight of how relational systems evolve. However, modeling these networks efficiently remains a challenge, primarily due to computational constraints, es…
Relational Event Modeling
Federica Bianchi, Edoardo Filippi-Mazzola, Alessandro Lomi +1
Advances in information technology have increased the availability of time-stamped relational data such as those produced by email exchanges or interaction through social media. Wh…
A Stochastic Gradient Relational Event Additive Model for modelling US patent citations from 1976 until 2022
Edoardo Filippi-Mazzola, Ernst C. Wit
Until 2022, the US patent citation network contained almost 10 million patents and over 100 million citations. To overcome limitations in analyzing such complex networks, we propos…
Drivers of the decrease of patent similarities from 1976 to 2021
Edoardo Filippi-Mazzola, Federica Bianchi, Ernst C. Wit
The citation network of patents citing prior art arises from the legal obligation of patent applicants to properly disclose their invention. One way to study the relationship betwe…
Model-based clustering of categorical data based on the Hamming distance
Raffaele Argiento, Edoardo Filippi-Mazzola, Lucia Paci
A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability ma…