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Original Article

Statistical transfer learning: A review and some extensions to statistical process control

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Jianjun Shi. (2023) In-process quality improvement: Concepts, methodologies, and applications. IISE Transactions 55:1, pages 2-21.
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Luiz H. M. S. Ribeiro, Claus Claeys, Adriano T. Fabro, Dimitrios Chronopoulos & José R. F. Arruda. 2024. Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling. Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling 122 129 .
Loïc Iapteff, Julien Jacques, Benoit Celse & Victor Costa. (2023) Reducing the Number of Experimental Points to Fit Kinetic Models: A Bayesian Approach. Industrial & Engineering Chemistry Research 62:28, pages 10903-10914.
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Zezhong Wang & Inez Maria Zwetsloot. (2023) A Transfer Learning-Based Multivariate Control Chart for Dengue Surveillance in Hong Kong. IEEE Access 11, pages 66415-66427.
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Dor Mizrahi, Inon Zuckerman & Ilan Laufer. 2023. Intelligent Systems and Applications. Intelligent Systems and Applications 336 347 .
Fugee Tsung & Kai Wang. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 239 259 .
Ziyue Li, Hao Yan, Fugee Tsung & Ke Zhang. (2022) Profile Decomposition Based Hybrid Transfer Learning for Cold-Start Data Anomaly Detection. ACM Transactions on Knowledge Discovery from Data 16:6, pages 1-28.
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Zhao Jiang, Jian Zhou & Yizhong Ma. (2022) Fault diagnosis for rolling bearing based on parameter transfer Bayesian network. Quality and Reliability Engineering International 38:8, pages 4291-4308.
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Feilong Liu & Miao Li. (2022) Evaluation Method of Product Shape Features based on Multidimension Spatial Data Mining. Mathematical Problems in Engineering 2022, pages 1-11.
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Kirstin Roster, Colm Connaughton & Francisco A. Rodrigues. (2022) Forecasting new diseases in low-data settings using transfer learning. Chaos, Solitons & Fractals 161, pages 112306.
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Amirhossein Fallahdizcheh & Chao Wang. (2022) Transfer learning of degradation modeling and prognosis based on multivariate functional analysis with heterogeneous sampling rates. Reliability Engineering & System Safety 223, pages 108448.
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Kim Phuc Tran. 2022. Control Charts and Machine Learning for Anomaly Detection in Manufacturing. Control Charts and Machine Learning for Anomaly Detection in Manufacturing 1 6 .
Lester Lik Teck Chan & Junghui Chen. (2021) Gaussian process model based multi-source labeled data transfer learning for reducing cost of modeling target chemical processes with unlabeled data. Control Engineering Practice 117, pages 104941.
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Dor Mizrahi, Inon Zuckerman & Ilan Laufer. (2021) Level-K Classification from EEG Signals Using Transfer Learning. Sensors 21:23, pages 7908.
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Loïc Iapteff, Julien Jacques, Matthieu Rolland & Benoit Celse. (2021) Reducing the Number of Experiments Required for Modelling the Hydrocracking Process with Kriging Through Bayesian Transfer Learning. Journal of the Royal Statistical Society Series C: Applied Statistics 70:5, pages 1344-1364.
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Kai Wang & Fugee Tsung. (2021) Sparse and Structured Function-on-Function Quality Predictive Modeling by Hierarchical Variable Selection and Multitask Learning. IEEE Transactions on Industrial Informatics 17:10, pages 6720-6730.
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Fei Chu, Jiachen Wang, Xu Zhao, Shuning Zhang, Tao Chen, Runda Jia & Gang Xiong. (2021) Transfer learning for nonlinear batch process operation optimization. Journal of Process Control 101, pages 11-23.
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Fadel M. Megahed, L. Allison Jones-Farmer, Miao Cai, Steven E. Rigdon & Manar Mohamed. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 197 228 .
Fu Chang, Huili Lu, Hao Sun & Jianhong Yang. (2020) Assessment of the performance of quantitative feature-based transfer learning LIBS analysis of chromium in high temperature alloy steel samples. Journal of Analytical Atomic Spectrometry 35:11, pages 2639-2648.
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Jeongwook Lee, Joon Jin Song, Yongku Kim & Jung In Seo. (2020) Estimation and Prediction of Record Values Using Pivotal Quantities and Copulas. Mathematics 8:10, pages 1678.
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Yue Wang, Xiang Li & Fugee Tsung. (2020) Configuration-Based Smart Customization Service: A Multitask Learning Approach. IEEE Transactions on Automation Science and Engineering 17:4, pages 2038-2047.
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Bianca M. Colosimo. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 7 .
Weidong Sun, Pingxiang Li, Bo Du, Jie Yang, Linlin Tian, Minyi Li & Lingli Zhao. (2020) Scatter Matrix Based Domain Adaptation for Bi-Temporal Polarimetric SAR Images. Remote Sensing 12:4, pages 658.
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Qiang Huang, Yuanxiang Wang, Mingdong Lyu & Weizhi Lin. (2020) Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy. IEEE Transactions on Automation Science and Engineering, pages 1-15.
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Eslam Omara, Mervat Mosa & Nabil Ismail. (2019) Emotion Analysis in Arabic Language Applying Transfer Learning. Emotion Analysis in Arabic Language Applying Transfer Learning.
Fei Chu, Xu Zhao, Yuan Yao, Tao Chen & Fuli Wang. (2019) Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy. Journal of Process Control 81, pages 197-208.
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Hasan Tercan, Alexandro Guajardo & Tobias Meisen. (2019) Industrial Transfer Learning: Boosting Machine Learning in Production. Industrial Transfer Learning: Boosting Machine Learning in Production.
Qianling Jiang, Li-Chieh Chen & Jie Zhang. (2019) Perception and Preference Analysis of Fashion Colors: Solid Color Shirts. Sustainability 11:8, pages 2405.
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Chinedu Pascal Ezenkwu & Andrew Starkey. 2019. Intelligent Computing. Intelligent Computing 335 358 .
Yao-Chen Chuang, Tao Chen, Yuan Yao & David Shan Hill Wong. (2018) Transfer learning for efficient meta-modeling of process simulations. Chemical Engineering Research and Design 138, pages 546-553.
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Joao Reis & Gil Goncalves. (2018) Laser Seam Welding optimization using Inductive Transfer Learning with Artificial Neural Networks. Laser Seam Welding optimization using Inductive Transfer Learning with Artificial Neural Networks.

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