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Xuelei Sherry Ni
Xuelei Sherry Ni
Verified email at kennesaw.edu
Title
Cited by
Cited by
Year
A survey of manifold-based learning methods
X Huo, XS Ni, AK Smith
Recent advances in data mining of enterprise data, 691-745, 2007
1272007
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization
Y Wang, XS Ni
arXiv preprint arXiv:1901.08433, 2019
1052019
Statistical interpretation of the importance of phase information in signal and image reconstruction
XS Ni, X Huo
Statistics & probability letters 77 (4), 447-454, 2007
622007
When do stepwise algorithms meet subset selection criteria?
X Huo, X Ni
The Annals of Statistics, 870-887, 2007
532007
The pedagogical potential of game jams
A Fowler, X Ni, J Preston
Proceedings of the 19th annual SIG conference on information technology …, 2018
182018
Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms
Y Wang, XS Ni
arXiv preprint arXiv:1903.05535, 2019
132019
Improving investment suggestions for peer-to-peer lending via integrating credit scoring into profit scoring
Y Wang, XS Ni
Proceedings of the 2020 ACM Southeast Conference, 141-148, 2020
112020
Risk prediction of peer-to-peer lending market by a LSTM model with macroeconomic factor
Y Wang, XS Ni
Proceedings of the 2020 ACM Southeast Conference, 181-187, 2020
112020
A two-stage hybrid model by using artificial neural networks as feature construction algorithms
Y Wang, XS Ni, B Stone
arXiv preprint arXiv:1812.02546, 2018
102018
Another look at Huber's estimator: A new minimax estimator in regression with stochastically bounded noise
XS Ni, X Huo
Journal of statistical planning and inference 139 (2), 503-515, 2009
92009
Enhanced leaps-and-bounds method in subset selections with additional optimality tests
XS Ni, X Huo
INFORMS QSR student paper competition finalist. Available at qsr. section …, 2005
92005
Influence of the event rate on discrimination abilities of bankruptcy prediction models
L Zhang, J Priestley, X Ni
arXiv preprint arXiv:1803.03756, 2018
82018
New results in detection, estimation, and model selection
XS Ni
Georgia Institute of Technology, 2006
72006
High-dimensional semi-supervised learning via a fusion-refinement procedure
Z Lei, R Li, XS Ni, X Huo
Signal Processing 114, 171-182, 2015
62015
Improving risk modeling via feature selection, hyper-parameter adjusting, and model ensembling
Y Wang, XS Ni, J Priestley
52020
Detectability of convex-shaped objects in digital images, its fundamental limit and multiscale analysis
X Huo, X Ni
Statistica Sinica, 1439-1462, 2009
52009
Regressions by enhanced leaps-and-bounds via additional optimality tests (LBOT)
XS Ni, X Huo
Technical report, Citeseer, 2006
52006
An automatic interaction detection hybrid model for bankcard response classification
Y Wang, XS Ni, B Stone
2018 5th International Conference on Systems and Informatics (ICSAI), 1111-1119, 2018
42018
Kernel fusion–refinement for semi-supervised nonlinear dimension reduction
F Wang, R Li, Z Lei, XS Ni, X Huo, M Chen
Pattern Recognition Letters 63, 16-22, 2015
42015
Developing and improving risk models using machine-learning based algorithms
Y Wang, XS Ni
Proceedings of the 2019 ACM Southeast Conference, 281-282, 2019
32019
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