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David L. Small
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Conference and Workshop Papers
- 2023
- [c6]Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding:
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. IEEE Big Data 2023: 1031-1038 - 2018
- [c5]Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding:
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data. ICBK 2018: 146-153 - 2015
- [c4]Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam:
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction. IEEE BigData 2015: 865-870 - [c3]Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang:
Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. ICNSC 2015: 63-68 - [c2]Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu:
Tornado Forecasting with Multiple Markov Boundaries. KDD 2015: 2237-2246 - 2013
- [c1]Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam:
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. KDD 2013: 1285-1293
Coauthor Index
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