A dual-head attention model for time series data imputation

Author:

Zhang Yifan,Thorburn Peter J.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. AU. Reef 2050 water quality improvement plan. https://www.reefplan.qld.gov.au/ (accessed: 2018-07-20).

2. Bengio, S., Vinyals, O., Jaitly, N., Shazeer, N., 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In: Advances in Neural Information Processing Systems, pp. 1171–1179.

3. Nearest neighbor imputation algorithms: a critical evaluation;Beretta;BMC Med. Informat. Decision Making,2016

4. On the issue of incomplete and missing water-quality data in mine site databases: Comparing three imputation methods;Betrie;Mine Water Environ.,2016

5. Cao, W., Wang, D., Li, J., Zhou, H., Li, L., Li, Y., 2018. Brits: bidirectional recurrent imputation for time series. In: Advances in Neural Information Processing Systems, pp. 6775–6785.

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