Muhammad Imad, Ian Cleland, Chris D. Nugent, Patrick McAllister. Integrating Traditional Machine Learning Approaches with Explainable Anomaly Detection for Multimodal Sensor Data. In José Bravo 0001, Chris D. Nugent, Ian Cleland, editors, Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), Belfast, UK, 27-29 November 2024. Volume 1212 of Lecture Notes in Networks and Systems, pages 99-111, Springer, 2024. [doi]
@inproceedings{ImadCNM24,
title = {Integrating Traditional Machine Learning Approaches with Explainable Anomaly Detection for Multimodal Sensor Data},
author = {Muhammad Imad and Ian Cleland and Chris D. Nugent and Patrick McAllister},
year = {2024},
doi = {10.1007/978-3-031-77571-0_11},
url = {https://doi.org/10.1007/978-3-031-77571-0_11},
researchr = {https://researchr.org/publication/ImadCNM24},
cites = {0},
citedby = {0},
pages = {99-111},
booktitle = {Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), Belfast, UK, 27-29 November 2024},
editor = {José Bravo 0001 and Chris D. Nugent and Ian Cleland},
volume = {1212},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-031-77571-0},
}