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Technometrics Volume 65, 2023 - Issue 2
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Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors

Kungang Zhanga Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, ILORCID Iconhttps://orcid.org/0000-0001-7790-4903View further author information
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Anh T. Buib Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VAORCID Iconhttps://orcid.org/0000-0003-0397-1307View further author information
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Daniel W. Apleya Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, ILCorrespondence[email protected]
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Pages 137-149 | Received 18 Jul 2021, Accepted 28 Jul 2022, Published online: 31 Oct 2022

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Anna Malinovskaya, Pavlo Mozharovskyi & Philipp Otto. (2024) Statistical Process Monitoring of Artificial Neural Networks. Technometrics 66:1, pages 104-117.
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Articles from other publishers (3)

Wei Liu, Satyajit Mojumder, Wing Kam Liu, Wei Chen & Daniel W. Apley. (2024) Simulation-free determination of microstructure representative volume element size via Fisher scores. APL Machine Learning 2:2.
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Venkateswarlu Gudepu, Venkatarami Reddy Chintapalli, Piero Castoldi, Luca Valcarenghi, Bheemarjuna Reddy Tamma & Koteswararao Kondepu. (2024) The drift handling framework for open radio access networks: An experimental evaluation. Computer Networks 243, pages 110290.
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Hanqing Hu, Xiaofan Yang, Jianling Li, Jianbo Shen, Jianhua Dai & Yuanyuan Jin. (2023) Can Digital Rural Construction Improve China’s Agricultural Surface Pollution? Autoregressive Modeling Based on Spatial Quartiles. Sustainability 15:17, pages 13138.
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