MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation-Reference-Cited by-同舟云学术

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Cai Zekun¹^ORCID,Jiang Renhe¹^ORCID,Yang Xinyu²^ORCID,Wang Zhaonan¹^ORCID,Guo Diansheng²^ORCID,Kobayashi Hill Hiroki¹^ORCID,Song Xuan¹^ORCID,Shibasaki Ryosuke¹^ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. Tencent Corporation, Beijing, China

Funder

Japan Science and Technology Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614962

Reference45 articles.

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2. Mohamed Ishmael Belghazi , Aristide Baratin , Sai Rajeswar , Sherjil Ozair , Yoshua Bengio , Aaron Courville , and R Devon Hjelm . 2018. Mine: mutual information neural estimation. arXiv preprint arXiv:1801.04062 ( 2018 ). Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, and R Devon Hjelm. 2018. Mine: mutual information neural estimation. arXiv preprint arXiv:1801.04062 (2018).

3. MemStream: Memory-Based Streaming Anomaly Detection

4. Learning from Time-Changing Data with Adaptive Windowing

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