Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous … X Ren, Z Mi, PG Georgopoulos Environment international 142, 105827, 2020 | 139 | 2020 |
Vine copula-based dependence description for multivariate multimode process monitoring X Ren, Y Tian, S Li Industrial & Engineering Chemistry Research 54 (41), 10001-10019, 2015 | 44 | 2015 |
Flexible Bayesian ensemble machine learning framework for predicting local ozone concentrations X Ren, Z Mi, T Cai, CG Nolte, PG Georgopoulos Environmental science & technology 56 (7), 3871-3883, 2022 | 32 | 2022 |
Fault detection and diagnosis for nonlinear and non-Gaussian processes based on copula subspace division X Ren, K Zhu, T Cai, S Li Industrial & Engineering Chemistry Research 56 (40), 11545-11564, 2017 | 30 | 2017 |
Sequential dependence modeling using Bayesian theory and D-vine copula and its application on chemical process risk prediction X Ren, S Li, C Lv, Z Zhang Industrial & Engineering Chemistry Research 53 (38), 14788-14801, 2014 | 25 | 2014 |
Predicting the frequency of abnormal events in chemical process with Bayesian theory and vine copula C Lv, Z Zhang, X Ren, S Li Journal of Loss Prevention in the Process Industries 32, 192-200, 2014 | 17 | 2014 |
Probabilistic weighted copula regression model with adaptive sample selection strategy for complex industrial processes Y Zhou, X Ren, S Li IEEE Transactions on Industrial Informatics 16 (11), 6972-6981, 2020 | 16 | 2020 |
Mixture of D-Vine copulas for chemical process monitoring W Zheng, X Ren, N Zhou, D Jiang, S Li Chemometrics and Intelligent Laboratory Systems 169, 19-34, 2017 | 13 | 2017 |
Development of a semi-mechanistic allergenic pollen emission model T Cai, Y Zhang, X Ren, L Bielory, Z Mi, CG Nolte, Y Gao, LR Leung, ... Science of the Total Environment 653, 947-957, 2019 | 12 | 2019 |
Enhancing quality of multivariate process monitoring based on vine copula and active learning strategy Y Zhou, X Ren, S Li Industrial & Engineering Chemistry Research 57 (23), 7961-7974, 2018 | 11 | 2018 |
Modeling effects of spatial heterogeneities and layered exposure interventions on the spread of COVID-19 across New Jersey X Ren, CP Weisel, PG Georgopoulos International journal of environmental research and public health 18 (22), 11950, 2021 | 6 | 2021 |
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches X Ren, Z Mi, PG Georgopoulos Journal of Exposure Science & Environmental Epidemiology 34 (2), 197-207, 2024 | 5 | 2024 |
A modeling method based on artificial neural network with monotonicity knowledge as constraints X Cheng, X Ren, S Ma, S Li Chemometrics and Intelligent Laboratory Systems 145, 93-102, 2015 | 5 | 2015 |
Nonlinear non-Gaussian and multimode process monitoring-based multi-subspace vine copula and deep neural network Y Zhou, X Ren, S Li Industrial & Engineering Chemistry Research 59 (32), 14385-14397, 2020 | 4 | 2020 |
Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X Ren, T Cai, Z Mi, L Bielory, CG Nolte, PG Georgopoulos Frontiers in Allergy 3, 959594, 2022 | 2 | 2022 |
Process monitoring method based on double-model and multi-subspace vine copula Q Jia, H Deng, X Ren, S Li Industrial & Engineering Chemistry Research 58 (27), 12137-12148, 2019 | 2 | 2019 |
Comments on “Rolling Pin Method: Efficient General Method of Joint Probability Modeling” X Ren, K Zhu, S Li Industrial & Engineering Chemistry Research 54 (8), 2414-2415, 2015 | 1 | 2015 |
Comparing RMB exchange rate forecasting accuracy based on dynamic BP neural network model and the ARMA Model Z Ye, X Ren, Y Shan J. Stock Forex Tradi. 5 (1), 2015 | 1 | 2015 |
Interpretable machine learning and systems modeling for air quality and public health X Ren Rutgers The State University of New Jersey, School of Graduate Studies, 2022 | | 2022 |
Indoor ozone chemistry in a real-world study of urban apartments in the US H Kipen, K Black, R Laumbach, K Mohan, C Weisel, P Georgopoulos, ... 16th Conference of the International Society of Indoor Air Quality and …, 2020 | | 2020 |