1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DS2023★ 1 cited
PROPAGATE: a seed propagation framework to compute Distance-based metrics on Very Large Graphs
Giambattista Amati, Antonio Cruciani, Daniele Pasquini +2
We propose PROPAGATE, a fast approximation framework to estimate distance-based metrics on very large graphs such as the (effective) diameter, the (effective) radius, or the averag…
cs.IR2016
A cumulative approach to quantification for sentiment analysis
Giambattista Amati, Simone Angelini, Marco Bianchi +2
We estimate sentiment categories proportions for retrieval within large retrieval sets. In general, estimates are produced by counting the classification outcomes and then by adjus…