Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/sdm/AnVZSL22
%A An, Bang
%A Vahedian, Amin
%A Zhou, Xun
%A Street, W. Nick
%A Li, Yanhua
%B SDM
%D 2022
%E Banerjee, Arindam
%E Zhou, Zhi-Hua
%E Papalexakis, Evangelos E.
%E Riondato, Matteo
%I SIAM
%K dblp
%P 334-342
%T HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data.
%U http://dblp.uni-trier.de/db/conf/sdm/sdm2022.html#AnVZSL22
%@ 978-1-61197-717-2
@inproceedings{conf/sdm/AnVZSL22,
added-at = {2022-10-05T00:00:00.000+0200},
author = {An, Bang and Vahedian, Amin and Zhou, Xun and Street, W. Nick and Li, Yanhua},
biburl = {https://www.bibsonomy.org/bibtex/2dd14889cce44454d7ca32b3571dd7989/dblp},
booktitle = {SDM},
crossref = {conf/sdm/2022},
editor = {Banerjee, Arindam and Zhou, Zhi-Hua and Papalexakis, Evangelos E. and Riondato, Matteo},
ee = {https://doi.org/10.1137/1.9781611977172.38},
interhash = {d11891a403909e487b481e86926b10d0},
intrahash = {dd14889cce44454d7ca32b3571dd7989},
isbn = {978-1-61197-717-2},
keywords = {dblp},
pages = {334-342},
publisher = {SIAM},
timestamp = {2024-04-09T14:26:55.000+0200},
title = {HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data.},
url = {http://dblp.uni-trier.de/db/conf/sdm/sdm2022.html#AnVZSL22},
year = 2022
}