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2020 – today
- 2026
[j5]Alessio Verdone, Federico Succetti, Andrea Ceschini
, Antonello Rosato, Alessio Fioravanti, Massimo Panella:
A hybrid quantum-neural network for heart disease classification. Biomed. Signal Process. Control. 113: 109185 (2026)- 2025
- [b1]Federico Succetti:
Advancements in time series analysis using deep learning. Sapienza University of Rome, Italy, 2025 - [j4]Federico Succetti, Massimo Panella, Paolo Giannitrapani, Jean-Christophe Rigo, Stefania Colonnese:
Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges. IEEE Access 13: 171073-171092 (2025) - [j3]Federico Succetti, Antonello Rosato, Massimo Panella:
Multi-label classification with imbalanced classes by fuzzy deep neural networks. Integr. Comput. Aided Eng. 32(1): 23-36 (2025) - [c6]Antonello Rosato, Andrea Ceschini, Federico Succetti, Samuel Yen-Chi Chen, Massimo Panella:
A Study on Quantum Reservoir Recurrent Models for Time-Constrained Volatile Sequence Forecasting. IJCNN 2025: 1-8 - 2024
- [c5]Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato:
A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. CEC 2024: 1-8 - 2023
- [j2]Federico Succetti, Antonello Rosato, Massimo Panella:
An adaptive embedding procedure for time series forecasting with deep neural networks. Neural Networks 167: 715-729 (2023) - 2022
- [c4]Federico Succetti, Antonello Rosato, Massimo Panella:
Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. AII 2022: 404-418 - 2021
- [c3]Francesco Di Luzio, Antonello Rosato, Federico Succetti, Massimo Panella:
A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. IJCNN 2021: 1-7 - [c2]Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella:
Time Series Prediction with Autoencoding LSTM Networks. IWANN (2) 2021: 306-317 - 2020
- [j1]Federico Succetti, Antonello Rosato, Rodolfo Araneo, Massimo Panella:
Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. IEEE Access 8: 211490-211505 (2020) - [c1]Antonello Rosato, Federico Succetti, Marcello Barbirotta, Massimo Panella:
ADMM Consensus for Deep LSTM Networks. IJCNN 2020: 1-8
Coauthor Index
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