Transferable aircraft trajectory prediction with generative deep imitation learning

Author:

Kravaris Theocharis,Vouros George A.

Funder

SESAR Joint Undertaking under Grant Agreement, European Union Horizon 2020

Publisher

Springer Science and Business Media LLC

Reference88 articles.

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3. Ayhan, S., Samet, H.: Aircraft trajectory prediction made easy with predictive analytics. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 21–30 (2016)

4. Berndt, D.J., Clifford, J.: Using dynamic time warping to find patterns in time series. In: KDD workshop, pp. 359–370. Seattle, WA, USA (1994)

5. Bolic, T., Cook, A., Koelle, R., et al.: Roadmap for a european open science alliance for atm research. 13th SESAR Innovation Days (2023)

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