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Results for Support vector regression

Publications & Outputs

  1. CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach

    Chehreh Chelgani, S., Homafar, A., Nasiri, H. & Rezaei laksar, M., 1/08/2024, In: Minerals Engineering. 213, 108754.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach

    Chehreh Chelgani, S., Nasiri, H., Tohry, A. & Heidari, H. R., 15/04/2023, In: Powder Technology. 420, 118416.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Automatic time series analysis for electric load forecasting via support vector regression

    Maldonado, S., González, A. & Crone, S., 1/10/2019, In: Applied Soft Computing Journal. 83, 9 p., 105616.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Method to predict key factors affecting lake eutrophication: a new approach based on Support Vector Regression model

    Xu, Y., Ma, C., Liu, Q., Xi, B., Qian, G., Zhang, D. & Huo, S., 08/2015, In: International Biodeterioration and Biodegradation. 102, p. 308-315 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review