| dc.contributor.author | Tang, Yihong | |
| dc.contributor.author | Qu, Ao | |
| dc.contributor.author | Chow, Andy | |
| dc.contributor.author | Lam, William | |
| dc.contributor.author | Wong, S.C. | |
| dc.contributor.author | Ma, Wei | |
| dc.date.accessioned | 2022-11-16T14:21:13Z | |
| dc.date.available | 2022-11-16T14:21:13Z | |
| dc.date.issued | 2022-10-17 | |
| dc.identifier.isbn | 978-1-4503-9236-5 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146497 | |
| dc.publisher | ACM|Proceedings of the 31st ACM International Conference on Information and Knowledge Management CD-ROM | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3511808.3557294 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | ACM|Proceedings of the 31st ACM International Conference on Information and Knowledge Management CD-ROM | en_US |
| dc.title | Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Tang, Yihong, Qu, Ao, Chow, Andy, Lam, William, Wong, S.C. et al. 2022. "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities." | |
| dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-11-03T12:47:43Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2022-11-03T12:47:43Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
