David L. Small

According to our database, David L. Small authored at least 6 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting.

Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding

Proceedings of the IEEE International Conference on Big Data, 2023

2018

Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.

Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2015

Tornado Forecasting with Multiple Markov Boundaries.

Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data.

Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang

Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction.

Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.

Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013