Genetic Programming Bibliography entries for George M Bollas
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GP coauthors/coeditors:
Benjamin Cohen,
Burcu Beykal,
Benjamin G Cohen,
William T Hale,
Efstathia Safikou,
Seulki Han,
Utsav Awasthi,
Krishna R Pattipati,
Genetic Programming Articles by George M Bollas
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Efi Safikou and Krishna R. Pattipati and George M. Bollas.
Fault Diagnosis and Prognosis With Inferential Sensors: A Hybrid Approach Integrating Symbolic Regression and Information Theory.
IEEE Access, 13:78555-78570, 2025.
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Seulki Han and Utsav Awasthi and George M. Bollas.
Physics-informed symbolic regression for tool wear and remaining useful life predictions in manufacturing.
Journal of Manufacturing Systems, 80:734-748, 2025.
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Benjamin G. Cohen and Burcu Beykal and George M. Bollas.
Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data.
Journal of Computational Physics, 514:113261, 2024.
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William T. Hale and Efi Safikou and George M. Bollas.
Inference of faults through symbolic regression of system data.
Computer \& Chemical Engineering, 157:107619, 2022.
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William T. Hale and George M. Bollas.
Symbolic regression of uncertainty-resilient inferential sensors for fault diagnostics.
IFAC-PapersOnLine, 53(2):11446-11451, 2020.
21st IFAC World Congress.
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Genetic Programming conference papers by George M Bollas
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Efi Safikou and George M. Bollas.
Symbolic Regression for Fault Prognosis and Remaining Useful Life Estimation*. In
2023 American Control Conference (ACC), pages 4715-4720, 2023.
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Benjamin Cohen and Burcu Beykal and George Bollas.
Dynamic System Identification from Scarce and Noisy Data Using Symbolic Regression. In
2023 62nd IEEE Conference on Decision and Control (CDC), pages 3670-3675, 2023.
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