Self-validated ensemble models for design of experiments

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Application of quality by design approach for HPTLC simultaneous determination of amlodipine and celecoxib in presence of process-related impurity

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Reconciling modern machine-learning practice and the classical bias–variance trade-off

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Effective Design-Based Model Selection for Definitive Screening Designs

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Space-filling designs for computer experiments: A review

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Effect of Experimental Design on the Prediction Performance of Calibration Models Based on Near-Infrared Spectroscopy for Pharmaceutical Applications

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To Explain or to Predict?

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