Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz. WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. In 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. pages 4450-4459, IEEE, 2021. [doi]
@inproceedings{FaberCSBJ21,
title = {WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data},
author = {Kamil Faber and Roberto Corizzo and Bartlomiej Sniezynski and Michael Baron and Nathalie Japkowicz},
year = {2021},
doi = {10.1109/BigData52589.2021.9671962},
url = {https://doi.org/10.1109/BigData52589.2021.9671962},
researchr = {https://researchr.org/publication/FaberCSBJ21},
cites = {0},
citedby = {0},
pages = {4450-4459},
booktitle = {2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021},
publisher = {IEEE},
isbn = {978-1-6654-3902-2},
}