| Maximum projection designs for computer experiments VR Joseph, E Gul, S Ba Biometrika 102 (2), 371-380, 2015 | 319 | 2015 |
| Optimizing and improving the growth quality of ZnO nanowire arrays guided by statistical design of experiments S Xu, N Adiga, S Ba, T Dasgupta, CFJ Wu, ZL Wang ACS nano 3 (7), 1803-1812, 2009 | 192 | 2009 |
| Composite Gaussian process models for emulating expensive functions S Ba, VR Joseph The Annals of Applied Statistics, 1838-1860, 2012 | 169 | 2012 |
| Optimal sliced Latin hypercube designs S Ba, WR Myers, WA Brenneman Technometrics 57 (4), 479-487, 2015 | 163 | 2015 |
| Designing computer experiments with multiple types of factors: The MaxPro approach VR Joseph, E Gul, S Ba Journal of Quality Technology 52 (4), 343-354, 2020 | 40 | 2020 |
| MaxPro: Maximum projection designs S Ba, VR Joseph R package version, 3.1-2, 2015 | 24 | 2015 |
| Multi-layer designs for computer experiments S Ba, VR Joseph Journal of the American Statistical Association 106 (495), 1139-1149, 2011 | 23 | 2011 |
| Deep multistage multi-task learning for quality prediction of multistage manufacturing systems H Yan, ND Sergin, WA Brenneman, SJ Lange, S Ba Journal of Quality Technology 53 (5), 526-544, 2021 | 20 | 2021 |
| Robust experimental designs for model calibration A Krishna, VR Joseph, S Ba, WA Brenneman, WR Myers Journal of Quality Technology 54 (4), 441-452, 2022 | 19 | 2022 |
| Space-filling designs for robustness experiments VR Joseph, L Gu, S Ba, WR Myers Technometrics 61 (1), 24-37, 2019 | 19 | 2019 |
| Automatic detection and recognition of athlete actions in diving video H Li, S Wu, S Ba, S Lin, Y Zhang Advances in Multimedia Modeling: 13th International Multimedia Modeling …, 2006 | 16 | 2006 |
| Cluster-based data filtering for manufacturing big data systems Y Li, X Deng, S Ba, WR Myers, WA Brenneman, SJ Lange, R Zink, R Jin Journal of Quality Technology 54 (3), 290-302, 2022 | 13 | 2022 |
| A Bayesian simulation approach for supply chain synchronization B Pires, J Goldstein, D Higdon, P Sabin, G Korkmaz, S Shipp, S Keller, ... 2017 Winter Simulation Conference (WSC), 1571-1582, 2017 | 12 | 2017 |
| Toward optimal variance reduction in online controlled experiments Y Jin, S Ba Technometrics 65 (2), 231-242, 2023 | 10 | 2023 |
| Model calibration with censored data F Cao, S Ba, WA Brenneman, VR Joseph Technometrics 60 (2), 255-262, 2018 | 9 | 2018 |
| Integrating analytical models with finite-element models: An application in micromachining S Ba, N Jain, VR Joseph, R Singh Journal of Quality Technology 45 (2), 200-212, 2013 | 8 | 2013 |
| Online experimentation with surrogate metrics: Guidelines and a case study W Duan, S Ba, C Zhang Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 7 | 2021 |
| A sequential maximum projection design framework for computer experiments with inert factors S Ba, WR Myers, D Wang Statistica Sinica, 879-897, 2018 | 7 | 2018 |
| Maxpro: Maximum projection designs. R package version 4.1-2 S Ba, VR Joseph URL: https://cran. r-project. org/web/packages/MaxPro, 2018 | 7 | 2018 |
| Maxpro: maximum projection designs (2015) S Ba, VR Joseph URL https://CRAN. R-project. org/package= MaxPro. R package version, 3.1-2, 0 | 7 | |
