%0 Conference Paper %1 conf/cloudcom/SaidE19 %A Said, Ahmed Ben %A Erradi, Abdelkarim %B CloudCom %D 2019 %I IEEE %K dblp %P 279-286 %T Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning. %U http://dblp.uni-trier.de/db/conf/cloudcom/cloudcom2019.html#SaidE19 %@ 978-1-7281-5011-6

@inproceedings{conf/cloudcom/SaidE19, added-at = {2020-01-31T00:00:00.000+0100}, author = {Said, Ahmed Ben and Erradi, Abdelkarim}, biburl = {https://www.bibsonomy.org/bibtex/28b8fe161d0f35fdf08cb261234ae4e49/dblp}, booktitle = {CloudCom}, crossref = {conf/cloudcom/2019}, ee = {https://doi.org/10.1109/CloudCom.2019.00048}, interhash = {50c2873abd634c96a49b1a871183a996}, intrahash = {8b8fe161d0f35fdf08cb261234ae4e49}, isbn = {978-1-7281-5011-6}, keywords = {dblp}, pages = {279-286}, publisher = {IEEE}, timestamp = {2020-02-01T11:41:58.000+0100}, title = {Deep-Gap: A Deep Learning Framework for Forecasting Crowdsourcing Supply-Demand Gap Based on Imaging Time Series and Residual Learning.}, url = {http://dblp.uni-trier.de/db/conf/cloudcom/cloudcom2019.html#SaidE19}, year = 2019 }