ADMM Consensus for Deep LSTM Networks. - Antonello Rosato; Federico Succetti; Marcello Barbirotta; Massimo Panella (IJCNN, 2020)

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series. - Federico Succetti; Antonello Rosato; Rodolfo Araneo; Massimo Panella (IEEE Access, 2020)

A Blockwise Embedding for Multi-Day-Ahead Prediction of Energy Time Series by Randomized Deep Neural Networks. - Francesco Di Luzio; Antonello Rosato; Federico Succetti; Massimo Panella (IJCNN, 2021)

Time Series Prediction with Autoencoding LSTM Networks. - Federico Succetti; Andrea Ceschini; Francesco Di Luzio; Antonello Rosato; Massimo Panella (IWANN (2), 2021)

Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks. - Federico Succetti; Antonello Rosato; Massimo Panella (AII, 2022)

An adaptive embedding procedure for time series forecasting with deep neural networks. - Federico Succetti; Antonello Rosato; Massimo Panella (Neural Networks, 2023)

A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications. - Federica Angeletti; Federico Succetti; Massimo Panella; Antonello Rosato (CEC, 2024)

Multi-label classification with imbalanced classes by fuzzy deep neural networks. - Federico Succetti; Antonello Rosato; Massimo Panella (Integr. Comput. Aided Eng., 2025)

Advancements in time series analysis using deep learning. - Federico Succetti (2025)