activity
20132020
most citedTowards Building Deep Networks with Bayesian Factor Graphs

4 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2020

An Analysis of Word2Vec for the Italian Language

Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +3

Word representation is fundamental in NLP tasks, because it is precisely from the coding of semantic closeness between words that it is possible to think of teaching a machine to u…

cs.CL2020

Intent Classification in Question-Answering Using LSTM Architectures

Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +2

Question-answering (QA) is certainly the best known and probably also one of the most complex problem within Natural Language Processing (NLP) and artificial intelligence (AI). Sin…

cs.CV2015

Discrete Independent Component Analysis (DICA) with Belief Propagation

Francesco A. N. Palmieri, Amedeo Buonanno

We apply belief propagation to a Bayesian bipartite graph composed of discrete independent hidden variables and discrete visible variables. The network is the Discrete counterpart…

cs.CV20154 cited

Towards Building Deep Networks with Bayesian Factor Graphs

Amedeo Buonanno, Francesco A. N. Palmieri

We propose a Multi-Layer Network based on the Bayesian framework of the Factor Graphs in Reduced Normal Form (FGrn) applied to a two-dimensional lattice. The Latent Variable Model…

cs.IT20131 cited

Low-complexity dominance-based Sphere Decoder for MIMO Systems

Gianmarco Romano, Domenico Ciuonzo, Pierluigi Salvo Rossi +1

The sphere decoder (SD) is an attractive low-complexity alternative to maximum likelihood (ML) detection in a variety of communication systems. It is also employed in multiple-inpu…