Federico Succetti

Orcid: 0000-0003-1207-9417

According to our database1, Federico Succetti authored at least 6 papers between 2020 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An adaptive embedding procedure for time series forecasting with deep neural networks.
Neural Networks, October, 2023

2022
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks.
AII, 2022

2021
Time Series Prediction with Autoencoding LSTM Networks.
Proceedings of the Advances in Computational Intelligence, 2021

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series.
IEEE Access, 2020

ADMM Consensus for Deep LSTM Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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