Annalisa Riccardi

According to our database, Annalisa Riccardi authored at least 21 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Knowledge Base Question Answering for Space Debris Queries.

Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi

CoRR, 2023

Automating and Decentralising Satellite-based Emergency Mapping.

Robert Cowlishaw, Red Boumghar, Ashwin Arulselvan, Annalisa Riccardi

Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction.

Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Abstract Argumentation for Explainable Satellite Scheduling.

Cheyenne Powell, Annalisa Riccardi

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.

Annalisa Riccardi, Jessica Gemignani, Francisco Fernández-Navarro, Anna Heffernan

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Scheduling Space-to-Ground Optical Communication Under Cloud Cover Uncertainty.

Mateusz Polnik, Ashwin Arulselvan, Annalisa Riccardi

IEEE Trans. Aerosp. Electron. Syst., 2021

A multistage optimisation algorithm for the large vehicle routing problem with time windows and synchronised visits.

Mateusz Polnik, Annalisa Riccardi, Kerem Akartunali

J. Oper. Res. Soc., 2021

SpaceLDA: Topic distributions aggregation from a heterogeneous corpus for space systems.

Audrey Berquand, Yashar Moshfeghi, Annalisa Riccardi

Eng. Appl. Artif. Intell., 2021

SpaceTransformers: Language Modeling for Space Systems.

Audrey Berquand, Paul Darm, Annalisa Riccardi

IEEE Access, 2021

Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation.

Francesco Marchetti, Callum Wilson, Cheyenne Powell, Edmondo A. Minisci, Annalisa Riccardi

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021

2020

Classifying Intelligence in Machines: A Taxonomy of Intelligent Control.

Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci

Robotics, 2020

A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines.

Callum Wilson, Annalisa Riccardi, Edmondo A. Minisci

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Intelligent Control via Genetic Programming.

Francesco Marchetti, Edmondo A. Minisci, Annalisa Riccardi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Set propagation in dynamical systems with generalised polynomial algebra and its computational complexity.

Massimiliano Vasile, Carlos Ortega Absil, Annalisa Riccardi

Commun. Nonlinear Sci. Numer. Simul., 2019

Intelligent Control: A Taxonomy.

Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo A. Minisci

Proceedings of the 8th International Conference on Systems and Control, 2019

2018

Indexing Discrete Sets in a Label Setting Algorithm for Solving the Elementary Shortest Path Problem with Resource Constraints.

Mateusz Polnik, Annalisa Riccardi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.

Adiel Castaño, Francisco Fernández-Navarro, Annalisa Riccardi, César Hervás-Martínez

Neural Comput. Appl., 2016

2015

Ordinal Regression by a Generalized Force-Based Model.

Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni

IEEE Trans. Cybern., 2015

2014

Ordinal Neural Networks Without Iterative Tuning.

Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni

IEEE Trans. Neural Networks Learn. Syst., 2014

Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine.

Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni

IEEE Trans. Cybern., 2014

Evolutionary Constrained Optimization for a Jupiter Capture.

Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014