Federico Succetti

12 papers B 4Journal 5Unranked 2

Year	Rank	Type	Title / 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

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski