Annalisa Riccardi
Annalisa Riccardi
Verified email at strath.ac.uk
Title
Cited by
Cited by
Year
Cost-sensitive AdaBoost algorithm for ordinal regression based on extreme learning machine
A Riccardi, F Fernández-Navarro, S Carloni
IEEE transactions on cybernetics 44 (10), 1898-1909, 2014
572014
Ordinal neural networks without iterative tuning
F Fernández-Navarro, A Riccardi, S Carloni
IEEE transactions on neural networks and learning systems 25 (11), 2075-2085, 2014
302014
Comparison of non-intrusive approaches to uncertainty propagation in orbital mechanics
C Tardioli, M Kubicek, M Vasile, E Minisci, A Riccardi
American Astronautical Society, 2015
142015
Scheduling of space to ground quantum key distribution
M Polnik, L Mazzarella, M Di Carlo, DKL Oi, A Riccardi, A Arulselvan
EPJ Quantum Technology 7 (1), 3, 2020
132020
Set propagation in dynamical systems with generalised polynomial algebra and its computational complexity
M Vasile, CO Absil, A Riccardi
Communications in Nonlinear Science and Numerical Simulation 75, 22-49, 2019
132019
De-orbiting and re-entry analysis with generalised intrusive polynomial expansions
CO Absil, R Serra, A Riccardi, M Vasile
International Astronautical Federation (IAF), 2016
132016
Multidisciplinary design optimization models and algorithms for space launch vehicles
F Castellini, M Lavagna, A Riccardi, C Büskens
13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 9086, 2010
132010
Knowledge-based information extraction from datasheets of space parts
F Murdaca, A Berquand, K Kumar, A Riccardi, T Soares, S Gerené, ...
8th International Systems & Concurrent Engineering for Space Applications …, 2018
122018
Constraint handling and multi-objective methods for the evolution of interplanetary trajectories
D Izzo, D Hennes, A Riccardi
Journal of Guidance, Control, and Dynamics 38 (4), 792-800, 2015
112015
Quantitative assessment of multidisciplinary design models for expendable launch vehicles
F Castellini, MR Lavagna, A Riccardi, C Büskens
Journal of Spacecraft and Rockets 51 (1), 343-359, 2014
112014
Fast belief estimation in evidence network models
M Vasile, G Filippi, C Ortega Absil, A Riccardi
EUROGEN 2017, 1-13, 2017
102017
Artificial intelligence for early design of space missions in support of concurrent engineering sessions
F Murdaca, A Berquand, A Riccardi, T Soares, S Gerené, N Brauer, ...
8th International Systems & Concurrent Engineering for Space Applications …, 2018
72018
Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty
M Caboni, E Minisci, A Riccardi
Journal of Physics: Conference Series 1037 (4), 042011, 2018
72018
SMART-UQ: uncertainty quantification toolbox for generalised intrusive and non intrusive polynomial algebra
C Ortega Absil, A Riccardi, M Vasile, C Tardioli
6th International Conference on Astrodynamics Tools and Techniques, 2016
72016
Ordinal regression by a generalized force-based model
F Fernández-Navarro, A Riccardi, S Carloni
IEEE transactions on cybernetics 45 (4), 844-857, 2014
72014
Artificial intelligence in support to space traffic management
M Vasile, V Rodríguez-Fernández, R Serra, D Camacho, A Riccardi
International Astronautical Federation (IAF), 2018
62018
Artificial intelligence for the early design phases of space missions
A Berquand, F Murdaca, A Riccardi, T Soares, S Generé, N Brauer, ...
2019 IEEE Aerospace Conference, 1-20, 2019
52019
Towards an artificial intelligence based design engineering assistant for the early design of space missions
A Berquand, F Murdaca, A Riccardi, T Soares, S Gerené, N Brauer, ...
69th International Astronautical Congress, 2018
52018
Uncertainty treatment in the GOCE re-entry
E Minisci, R Serra, M Vasile, A Riccardi, S Grey, S Lemmens
1st IAA Conference on Space Situational Awareness (ICSSA), 2017
52017
Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis
A Castańo, F Fernández-Navarro, A Riccardi, C Hervás-Martínez
Neural Computing and Applications 27 (6), 1749-1760, 2016
52016
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Articles 1–20