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2020 – today
- 2024
[c5]Duoxi Xiao
, Jianjun Li, Sen Bai, Yongzhen Fan, Bing Zhu:
Cluster-based Cross-Learning on Decomposed Components: A Novel Framework for SKU Sales Forecasting. ICAAI 2024: 238-245- [c4]Yongzhen Fan, Guicai Xie, Bing Zhu:
A New Hybrid Churn Prediction Model Based on Logistic Regression and Extreme Gradient Boosting. ICISS 2024: 191-197 - [c3]Lin Gao, Yongzhen Fan, Duoxi Xiao, Yuanyuan Li, Bing Zhu, Zhengqian Sun:
An Interpretable Anomaly Detection Model for Cloud POS Data. ICMLSC 2024: 83-90 - 2023
- [j3]Elliot Pachniak, Yongzhen Fan, Wei Li, Knut Stamnes:
Quantifying Uncertainties in OC-SMART Ocean Color Retrievals: A Bayesian Inversion Algorithm. Algorithms 16(6): 301 (2023) - [c2]Lin Gao, Xue Song, Yongzhen Fan, Jianguo Dong, Anqi Zhu:
A New Cloud Pos Data Quality Assessment Based on Spatial Weighting. ICCDA 2023: 8-13 - 2022
- [j2]Yalei You, Huan Meng, Jun Dong, John Xun Yang, Sarah E. Ringerud, Yongzhen Fan:
Precipitation Phase Determination by Brightness Temperatures From ATMS. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j1]Yalei You, Huan Meng, Jun Dong, Yongzhen Fan, Ralph R. Ferraro, Guojun Gu, Likun Wang:
A Snowfall Detection Algorithm for ATMS Over Ocean, Sea Ice, and Coast. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1411-1420 (2022)
2010 – 2019
- 2018
- [c1]Charles K. Gatebe, Wei Li, Nan Chen, Yongzhen Fan, Rajesh Poudyal, Ludovic Brucker, Knut Stamnes:
Snow-Covered Area Using Machine Learning Techniques. IGARSS 2018: 6291-6293
Coauthor Index
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