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Annalisa Riccardi
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- affiliation: University of Strathclyde, UK
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2020 – today
- 2024
- [j12]Robert Cowlishaw
, Annalisa Riccardi
Optimizing Participant Selection for Fault-Tolerant Decision Making in Orbit Using Mixed Integer Linear Programming. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16961-16969 (2024) - [c10]Robert Cowlishaw, Ashwin Arulselvan, Annalisa Riccardi:
Multi-Objective Optimisation strategy for On-Orbit Fault-Tolerant Decision Making. CEC 2024: 1-7 - 2023
- [c9]Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi:
DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction. ACL (industry) 2023: 487-499 - [c8]Robert Cowlishaw, Red Boumghar, Ashwin Arulselvan, Annalisa Riccardi:
Automating and Decentralising Satellite-based Emergency Mapping. BCCA 2023: 76-81 - [i2]Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi:
Knowledge Base Question Answering for Space Debris Queries. CoRR abs/2305.19734 (2023) - 2022
- [c7]Cheyenne Powell
Abstract Argumentation for Explainable Satellite Scheduling. DSAA 2022: 1-10 - 2021
- [j11]Audrey Berquand
SpaceTransformers: Language Modeling for Space Systems. IEEE Access 9: 133111-133122 (2021) - [j10]Audrey Berquand
SpaceLDA: Topic distributions aggregation from a heterogeneous corpus for space systems. Eng. Appl. Artif. Intell. 102: 104273 (2021) - [j9]Mateusz Polnik
A multistage optimisation algorithm for the large vehicle routing problem with time windows and synchronised visits. J. Oper. Res. Soc. 72(11): 2396-2411 (2021) - [j8]Mateusz Polnik
Scheduling Space-to-Ground Optical Communication Under Cloud Cover Uncertainty. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2838-2849 (2021) - [j7]Annalisa Riccardi
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 79-91 (2021) - [c6]Francesco Marchetti
Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation. EvoMUSART 2021: 187-202 - 2020
- [j6]Callum Wilson
Classifying Intelligence in Machines: A Taxonomy of Intelligent Control. Robotics 9(3): 64 (2020) - [c5]Francesco Marchetti
Towards Intelligent Control via Genetic Programming. IJCNN 2020: 1-8 - [c4]Callum Wilson
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. IJCNN 2020: 1-7 - [i1]Callum Wilson
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines. CoRR abs/2006.02986 (2020)
2010 – 2019
- 2019
- [j5]Massimiliano Vasile
Set propagation in dynamical systems with generalised polynomial algebra and its computational complexity. Commun. Nonlinear Sci. Numer. Simul. 75: 22-49 (2019) - [c3]Callum Wilson
Intelligent Control: A Taxonomy. ICSC 2019: 333-339 - 2018
- [c2]Mateusz Polnik, Annalisa Riccardi:
Indexing Discrete Sets in a Label Setting Algorithm for Solving the Elementary Shortest Path Problem with Resource Constraints. CEC 2018: 1-8 - 2016
- [j4]Adiel Castaño, Francisco Fernández-Navarro
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. Neural Comput. Appl. 27(6): 1749-1760 (2016) - 2015
- [j3]Francisco Fernández-Navarro
Ordinal Regression by a Generalized Force-Based Model. IEEE Trans. Cybern. 45(4): 844-857 (2015) - 2014
- [j2]Annalisa Riccardi
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine. IEEE Trans. Cybern. 44(10): 1898-1909 (2014) - [j1]Francisco Fernández-Navarro
Ordinal Neural Networks Without Iterative Tuning. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2075-2085 (2014) - [c1]Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo
Evolutionary Constrained Optimization for a Jupiter Capture. PPSN 2014: 262-271
Coauthor Index
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