| A robust Bayesian agent for optimal collision avoidance manoeuvre planning C Greco, L Sánchez, M Manzi, M Vasile 8th European Conference on Space Debris, 2021 | 10 | 2021 |
| Discovering Unmodeled Components in Astrodynamics with Symbolic Regression M Manzi, M Vasile 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 10 | 2020 |
| A Flow-informed Strategy for Ballistic Capture Orbit Generation M Manzi, F Topputo Celestial Mechanics and Dynamical Astronomy 133, 1-16, 2021 | 9 | 2021 |
| Autoencoder-based thermospheric density model for uncertainty quantification and real-time calibration M Manzi, M Vasile 8th European Conference on Space Debris, 64, 2021 | 8 | 2021 |
| Orbital anomaly reconstruction using deep symbolic regression M Manzi, M Vasile 71st International Astronautical Congress, 2020 | 7 | 2020 |
| Polynomial stochastic dynamical indicators M Vasile, M Manzi Celestial Mechanics and Dynamical Astronomy 135 (1), 4, 2023 | 6 | 2023 |
| AUTOENCODER-BASED THERMOSPHERIC DENSITY ESTIMATION USING GPS TRACKING DATA V Nateghi, M Manzi, M Vasile choice 3 (12), 13-22, 2021 | 6 | 2021 |
| Analysis of stochastic nearly-integrable dynamical systems using polynomial chaos expansions M Manzi, M Vasile Univelt Inc/American Astronautical Society, 2020 | 5 | 2020 |
| Why topological data analysis detects financial bubbles? SW Akingbade, M Gidea, M Manzi, V Nateghi Communications in Nonlinear Science and Numerical Simulation 128, 107665, 2024 | 2 | 2024 |
| Machine learning methods for nonlinear dimensionality reduction of the thermospheric density field V Nateghi, M Manzi Advances in Space Research 72 (10), 4106-4114, 2023 | 2 | 2023 |
| Machine learning methods for nonlinear reduced-order modeling of the thermospheric density field V Nateghi, M Manzi | 1 | 2022 |
| Interplay between Chaos and Stochasticity in Celestial Mechanics M Manzi, S Guidolotti, M Petrini Proceedings of JuliaCon 1, 1, 2021 | | 2021 |
