References

• 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
• 2017Design and Analysis of Experiments2,929 cited
• 2017Machine Learning With Big Data: Challenges and Approaches1,023 cited
• 2008Bioprocess optimization using design‐of‐experiments methodology422 cited
• 2010A multiple-kernel support vector regression approach for stock market price forecasting255 cited
• 2014A Comparison of Central Composite Design and Taguchi Method for Optimizing Fenton Process248 cited
• 2018Utilization of Response Surface Methodology in Optimization of Extraction of Plant Materials244 cited
• 2018Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study177 cited
• 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection98 cited
• 2012Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation79 cited
• 2008Credit scoring using support vector machines with direct search for parameters selection73 cited

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