Federico Succetti

12 papers B 4Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A hybrid quantum-neural network for heart disease classification.
Biomed. Signal Process. Control.
Alessio Verdone, Federico Succetti, Andrea Ceschini, Antonello Rosato, Alessio Fioravanti, Massimo Panella
2025 B conf
A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting.
IJCNN
Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella
2025 — —
Advancements in time series analysis using deep learning.
Federico Succetti
2025 J jnl
Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges.
IEEE Access
Federico Succetti, Massimo Panella, Paolo Giannitrapani, Jean-Christophe Rigo, Stefania Colonnese
2025 J jnl
Multi-label classification with imbalanced classes by fuzzy deep neural networks.
Integr. Comput. Aided Eng.
Federico Succetti, Antonello Rosato, Massimo Panella
2024 B conf
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications.
CEC
Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato
2023 J jnl
An adaptive embedding procedure for time series forecasting with deep neural networks.
Neural Networks
Federico Succetti, Antonello Rosato, Massimo Panella
2022 — conf
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks.
AII
Federico Succetti, Antonello Rosato, Massimo Panella
2021 B conf
A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks.
IJCNN
Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella
2021 — conf
Time Series Prediction with Autoencoding LSTM Networks.
IWANN (2)
Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella
2020 B conf
ADMM Consensus for Deep LSTM Networks.
IJCNN
Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella
2020 J jnl
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series.
IEEE Access
Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella