Deviation optimal learning using greedy -aggregation D Dai, P Rigollet, T Zhang | 71 | 2012 |
Use of ubiquitous probe vehicle data for identifying secondary crashes H Yang, Z Wang, K Xie, D Dai Transportation research part C: emerging technologies 82, 138-160, 2017 | 44 | 2017 |
Aggregation of affine estimators D Dai, P Rigollet, L Xia, T Zhang | 39 | 2014 |
Random under-sampling ensemble methods for highly imbalanced rare disease classification D Dai, S Hua Proceedings of the International Conference on Data Science (ICDATA), 54, 2016 | 17 | 2016 |
Greedy model averaging D Dai, T Zhang Advances in Neural Information Processing Systems 24, 2011 | 9 | 2011 |
Bayesian model averaging with exponentiated least squares loss D Dai, L Han, T Yang, T Zhang IEEE Transactions on Information Theory 64 (5), 3331-3345, 2018 | 8 | 2018 |
Using machine learning algorithms to improve the prediction accuracy in disease identification: An empirical example Y Cai, D Dai, S Hua Proceedings of the International Conference on Data Science (ICDATA), 50, 2016 | 2 | 2016 |