Flames2graph: An interpretable federated multivariate time series classification framework
R. Younis, Z. Ahmadi, A. Hakmeh, and M. Fisichella. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 3140--3150. (2023)
%0 Conference Paper
%1 younis2023flames2graph
%A Younis, Raneen
%A Ahmadi, Zahra
%A Hakmeh, Abdul
%A Fisichella, Marco
%B Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
%D 2023
%K A* myown
%P 3140--3150
%T Flames2graph: An interpretable federated multivariate time series classification framework
@inproceedings{younis2023flames2graph,
added-at = {2024-02-05T16:13:51.000+0100},
author = {Younis, Raneen and Ahmadi, Zahra and Hakmeh, Abdul and Fisichella, Marco},
biburl = {https://www.bibsonomy.org/bibtex/2511fbc077c4e67a779dc04e2482eea40/younis},
booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
interhash = {eadee7d2649e47005d1990510d91e5e5},
intrahash = {511fbc077c4e67a779dc04e2482eea40},
keywords = {A* myown},
pages = {3140--3150},
timestamp = {2024-02-05T16:15:23.000+0100},
title = {Flames2graph: An interpretable federated multivariate time series classification framework},
year = 2023
}