Pubblicazioni

Robust interplanetary trajectory design under multiple uncertainties via meta-reinforcement learning

2024 - ACTA ASTRONAUTICA

Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling

2023 - Procedia Computer Science, vol 225, 2023

Rossetti, Nicholas; Gerevini, Alfonso E.; Olivato, Matteo; Putelli, Luca; Chiari, Mattia; Serina, Ivan; Minisci, Davide; Foca, Emanuele

Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy

2023 - ENERGY

Neshat, M.; Nezhad, M. M.; Mirjalili, S.; Astiaso Garcia, D.; Dahlquist, E.; Gandomi, A. H.

Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks

2022 - ENTROPY

Monti, Michele; Fiorentino, Jonathan; Milanetti, Edoardo; Gosti, Giorgio; Tartaglia, Gian Gaetano

Image-based Meta-Reinforcement Learning for Autonomous Terminal Guidance of an Impactor in a Binary Asteroid System

2022 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

Federici, L.; Scorsoglio, A.; Ghilardi, L.; D'ambrosio, A.; Benedikter, B.; Zavoli, A.; Furfaro, R.

All-optical AND Logic Gate Based on Semiconductor Optical Amplifiers for Implementing Deep Recurrent Neural Networks

2022 - 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)

Alam, Badrul; Ceschini, Andrea; Rosato, Antonello; Panella, Massimo; Asquini, Rita

Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions

2022 - ACTA ASTRONAUTICA

Federici, Lorenzo; Scorsoglio, Andrea; Zavoli, Alessandro; Furfaro, Roberto

Robust Design of Interplanetary Trajectories under Severe Uncertainty via Meta-Reinforcement Learning

2022 - Proceedings of the International Astronautical Congress, IAC

Federici, L.; Zavoli, A.

Meta-Reinforcement Learning for Adaptive Spacecraft Guidance during Multi-Target Missions

2021 -

Federici, L.; Scorsoglio, A.; Zavoli, A.; Furfaro, R.

Reservoir computing approaches for representation and classification of multivariate time series

2020 - IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Bianchi, Filippo Maria; Scardapane, Simone; Lokse, Sigurd; Jenssen, Robert

Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network with Long Short-term Memory for the Automated Detection of Calcified Plaques from Coronary Computed Tomography Angiography

2020 - JOURNAL OF THORACIC IMAGING

Fischer, A. M.; Eid, M.; De Cecco, C. N.; Gulsun, M. A.; Van Assen, M.; Nance, J. W.; Sahbaee, P.; De Santis, D.; Bauer, M. J.; Jacobs, B. E.; Varga-Szemes, A.; Kabakus, I. M.; Sharma, P.; Jackson, L. J.; Schoepf, U. J.

Network dilution and asymmetry in an efficient brain

2020 - PHILOSOPHICAL MAGAZINE

Leonetti, M.; Folli, V.; Milanetti, E.; Ruocco, G.; Gosti, G.

Fog-computing-based heartbeat detection and arrhythmia classification using machine learning

2019 - ALGORITHMS

ScirÃ¨, Alessandro; Tropeano, Fabrizio; Anagnostopoulos, Aris; Chatzigiannakis, Ioannis

A decentralized training algorithm for Echo State Networks in distributed big data applications

2016 - NEURAL NETWORKS

Scardapane, Simone; Wang, Dianhui; Panella, Massimo