Jet Kye Chong, Débora C. Corrêa. Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks. In Haris Aziz 0001, Débora Corrêa, Tim French 0002, editors, AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings. Volume 13728 of Lecture Notes in Computer Science, pages 339-352, Springer, 2022. [doi]
@inproceedings{ChongC22,
title = {Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks},
author = {Jet Kye Chong and Débora C. Corrêa},
year = {2022},
doi = {10.1007/978-3-031-22695-3_24},
url = {https://doi.org/10.1007/978-3-031-22695-3_24},
researchr = {https://researchr.org/publication/ChongC22},
cites = {0},
citedby = {0},
pages = {339-352},
booktitle = {AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings},
editor = {Haris Aziz 0001 and Débora Corrêa and Tim French 0002},
volume = {13728},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-22695-3},
}