| A deep learning approach for process data visualization using t-distributed stochastic neighbor embedding W Zhu, ZT Webb, K Mao, J Romagnoli Industrial & Engineering Chemistry Research 58 (22), 9564-9575, 2019 | 41 | 2019 |
| An environment for topology analysis and data reconciliation of the pre-heat train in an industrial refinery J Chebeir, ZT Webb, JA Romagnoli Applied Thermal Engineering 147, 623-635, 2019 | 14 | 2019 |
| Generic process visualization using parametric t-SNE W Zhu, Z Webb, X Han, K Mao, W Sun, J Romagnoli IFAC-PapersOnLine 51 (18), 803-808, 2018 | 8 | 2018 |
| Optimization of Multi-Modal Classification for Process Monitoring J Romagnoli, Z Webb, L Briceno-Mena, M Nnadili, E Seghers Frontiers in Chemical Engineering 4, 78, 2022 | 2* | 2022 |
| Real-Time Chemical Process Monitoring with UMAP J Romagnoli, Z Webb Computer Aided Chemical Engineering 50, 2077-2082, 2021 | 2 | 2021 |
| Process Monitoring Optimization Via Unsupervised Clustering Metrics L Briceno-Mena, Z Webb, JA Romagnoli 2022 AIChE Annual Meeting, 2022 | | 2022 |
| A Deep Learning Approach on Surrogate Model Optimization of a Cryogenic NGL Recovery Unit Operation W Zhu, J Chebeir, Z Webb, J Romagnoli Computer Aided Chemical Engineering 48, 1285-1290, 2020 | | 2020 |
