| Classifying intelligence in machines: a taxonomy of intelligent control C Wilson, F Marchetti, M Di Carlo, A Riccardi, E Minisci Robotics 9 (3), 64, 2020 | 18 | 2020 |
| Single-stage to orbit ascent trajectory optimisation with reliable evolutionary initial guess F Marchetti, E Minisci, A Riccardi Optimization and Engineering, 1-26, 2021 | 11 | 2021 |
| Convolutional generative adversarial network, via transfer learning, for traditional scottish music generation F Marchetti, C Wilson, C Powell, E Minisci, A Riccardi International Conference on Computational Intelligence in Music, Sound, Art …, 2021 | 11 | 2021 |
| Genetic programming guidance control system for a reentry vehicle under uncertainties F Marchetti, E Minisci Mathematics 9 (16), 1868, 2021 | 8 | 2021 |
| Towards intelligent control via genetic programming F Marchetti, E Minisci, A Riccardi 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 8 | 2020 |
| Inclusive genetic programming F Marchetti, E Minisci Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of …, 2021 | 6 | 2021 |
| Intelligent control: a taxonomy C Wilson, F Marchetti, M Di Carlo, A Riccardi, E Minisci 2019 8th International Conference on Systems and Control (ICSC), 333-339, 2019 | 6 | 2019 |
| A hybrid neural network-genetic programming intelligent control approach F Marchetti, E Minisci International Conference on Bioinspired Methods and Their Applications, 240-254, 2020 | 5 | 2020 |
| Control Law Automatic Design Through Parametrized Genetic Programming with Adjoint State Method Gradient Evaluation F Marchetti, G Pietropolli, FJ Camerota Verdù, M Castelli, E Minisci Available at SSRN 4490005, 2023 | 1 | 2023 |
| Adjoint state method for the trajectory optimization of a reentry vehicle F Marchetti, E Minisci 19th EUROPT Workshop on Advances in Continuous Optimization (EUROPT 2022), 2022 | 1 | 2022 |
| Trajectory optimization of a reusable launch vehicle F Marchetti, E Minisci, A Riccardi 17th Workshop on Advances in Continuous Optimization, 2019 | 1 | 2019 |
| Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation F Marchetti, G Pietropolli, FJC Verdù, M Castelli, E Minisci Applied Soft Computing 159, 111654, 2024 | | 2024 |
| Genetic programming for intelligent control: real-time guidance for access to space F Marchetti University of Strathclyde, 2024 | | 2024 |
| Leveraging language models semantic similarity capabilities to facilitate information reuse in system engineering P Darm, F Marchetti, G Garcia, PM Redondo, A Riccardi, AG Fernández 74th International Astronautical Congress, 2023 | | 2023 |
| Approximate estimates of orbit transfer cost for efficient mission analysis and design G Avanzini, D Zona, F Marchetti, E Minisci 2023 AAS/AIAA Astrodynamics Specialist Conference, 2023 | | 2023 |
| Genetically Adapted Neural Network-Based Intelligent Controller for Reentry Vehicle Guidance Control F Marchetti, E Minisci Available at SSRN 4618360, 0 | | |
Edmondo MinisciSenior Lecturer, ICElab, University of Strathclyde在 strath.ac.uk 的电子邮件经过验证
