Federico Succetti

Orcid: 0000-0003-1207-9417

According to our database1, Federico Succetti authored at least 8 papers between 2020 and 2025.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Multi-label classification with imbalanced classes by fuzzy deep neural networks.
Integr. Comput. Aided Eng., 2025

2024
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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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