| Tensor completion for weakly-dependent data on graph for metro passenger flow prediction Z Li, ND Sergin, H Yan, C Zhang, F Tsung proceedings of the AAAI conference on artificial intelligence 34 (04), 4804-4810, 2020 | 53 | 2020 |
| Toward a better monitoring statistic for profile monitoring via variational autoencoders ND Sergin, H Yan Journal of Quality Technology 53 (5), 454-473, 2021 | 21 | 2021 |
| 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 |
| Image-based process monitoring via adversarial autoencoder with applications to rolling defect detection H Yan, HM Yeh, N Sergin 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 11 | 2019 |
| High-dimensional nonlinear profile monitoring based on deep probabilistic autoencoders N Sergin, H Yan arXiv preprint arXiv:1911.00482, 2019 | 9 | 2019 |
| Edge computing accelerated defect classification based on deep convolutional neural network with application in rolling image inspection J Huang, N Sergin, A Dua, EB Tavakoli, H Yan, F Ren, F Ju International Manufacturing Science and Engineering Conference 84263 …, 2020 | 3 | 2020 |
| Outlier-Aware Applications in High-Dimensional Industrial Systems ND Sergin Arizona State University, 2021 | 1 | 2021 |
| Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels N Sergin, J Huang, TS Chang, H Yan IISE Transactions, 1-27, 2024 | | 2024 |
