Homayouni, Hajar, Ghosh, Sudipto, Ray, Indrakshi, Gondalia, Shlok, Duggan, Jerry, and Kahn, Michael G. An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data. Retrieved from https://par.nsf.gov/biblio/10227386. IEEE International Conference on Big Data (Big Data) . Web. doi:10.1109/BigData50022.2020.9378192.
Homayouni, Hajar, Ghosh, Sudipto, Ray, Indrakshi, Gondalia, Shlok, Duggan, Jerry, & Kahn, Michael G. An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data. IEEE International Conference on Big Data (Big Data), (). Retrieved from https://par.nsf.gov/biblio/10227386. https://doi.org/10.1109/BigData50022.2020.9378192
Homayouni, Hajar, Ghosh, Sudipto, Ray, Indrakshi, Gondalia, Shlok, Duggan, Jerry, and Kahn, Michael G.
"An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data". IEEE International Conference on Big Data (Big Data) (). Country unknown/Code not available. https://doi.org/10.1109/BigData50022.2020.9378192.https://par.nsf.gov/biblio/10227386.
@article{osti_10227386,
place = {Country unknown/Code not available},
title = {An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data},
url = {https://par.nsf.gov/biblio/10227386},
DOI = {10.1109/BigData50022.2020.9378192},
abstractNote = {},
journal = {IEEE International Conference on Big Data (Big Data)},
author = {Homayouni, Hajar and Ghosh, Sudipto and Ray, Indrakshi and Gondalia, Shlok and Duggan, Jerry and Kahn, Michael G.},
editor = {null}
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.