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Integration of process knowledge and statistical learning for the Dow data challenge problem.

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Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications., , , , , and . IEEE Congress on Evolutionary Computation, page 3106-3113. IEEE, (2006)Wide spectrum feature selection (WiSe) for regression model building., , , , , and . Comput. Chem. Eng., (2019)Contamination classification for pellet quality inspection using deep learning., , , , , and . Comput. Chem. Eng., (2022)Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming., , , and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 522-531. Springer, (2004)Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path., , , , , , and . ACC, page 2760-2765. IEEE, (2020)Prognostics for Chemical Processes., , and . ACC, page 769. IEEE, (2024)Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model., , , , , , , , , and . ACC, page 2581-2586. IEEE, (2021)Recent trends on hybrid modeling for Industry 4.0., , , , , , and . Comput. Chem. Eng., (2021)Advances and opportunities in machine learning for process data analytics., and . Comput. Chem. Eng., (2019)Integration of process knowledge and statistical learning for the Dow data challenge problem., , , , , , and . Comput. Chem. Eng., (2021)