Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu. MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction. In Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Volume 14174 of Lecture Notes in Computer Science, pages 394-409, Springer, 2023. [doi]
@inproceedings{LiuLLWL23,
title = {MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction},
author = {Jiawei Liu and Xiaohu Li and Guorui Liao and Shu Wang and Li Liu},
year = {2023},
doi = {10.1007/978-3-031-43427-3_24},
url = {https://doi.org/10.1007/978-3-031-43427-3_24},
researchr = {https://researchr.org/publication/LiuLLWL23},
cites = {0},
citedby = {0},
pages = {394-409},
booktitle = {Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI},
editor = {Gianmarco De Francisci Morales and Claudia Perlich and Natali Ruchansky and Nicolas Kourtellis and Elena Baralis and Francesco Bonchi},
volume = {14174},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-43427-3},
}