Amedeo Buonanno

Orcid: 0000-0003-3494-2648

According to our database1, Amedeo Buonanno authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Fusion of energy sensors with missing values.
Appl. Intell., October, 2023

Belief Propagation of Pareto Front in Multi-Objective MDP Graphs.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Path Planning of Multiple Agents Through Probability Flow.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Stochastic energy management for the Italian UNIVPM campus as a multi-carrier energy hub participating in the day-ahead market.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2022
A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning.
IEEE Access, 2022

Split-word Architecture in Recurrent Neural Networks POS-Tagging.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Considerations about learning Word2Vec.
J. Supercomput., 2021

Optimized realization of Bayesian networks in reduced normal form using latent variable model.
Soft Comput., 2021

A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs.
CoRR, 2021

2020
Probing a Deep Neural Network.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Context Analysis Using a Bayesian Normal Graph.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Path Planning Using Probability Tensor Flows.
CoRR, 2020

2019
Information-Preserving Networks And The Mirrored Transform.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Computational Optimization for Normal Form Realization of Bayesian Model graphs.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017
An Analysis of Word2Vec for the Italian Language.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Intent Classification in Question-Answering Using LSTM Architectures.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2016
Bayesian Clustering on Images with Factor Graphs in Reduced Normal Form.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

2015
Simulink Implementation of Belief Propagation in Normal Factor Graphs.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Towards Building Deep Networks with Bayesian Factor Graphs.
CoRR, 2015

Discrete independent component analysis (DICA) with belief propagation.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Two-dimensional multi-layer Factor Graphs in Reduced Normal Form.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Belief propagation and learning in convolution multi-layer factor graphs.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014


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