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Results for XGBoost

Publications & Outputs

  1. Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method

    Ghaheri, P., Nasiri, H., Shateri, A. & Homafar, A., 31/10/2024, In: Computer Methods in Biomechanics and Biomedical Engineering. 27, 13, p. 1858-1874 17 p.

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

  2. Breast cancer diagnosis from histopathology images using deep neural network and XGBoost

    Maleki, A., Raahemi, M. & Nasiri, H., 1/09/2023, In: Biomedical Signal Processing and Control. 86, Part A, 105152.

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

  3. Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates

    Saberi, S., Nasiri, H., Ghorbani, O., Friswell, M. I. & Castro, S. G. P., 31/07/2023, In: Materials. 16, 15, 5381.

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

  4. Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods

    Farzipour, A., Elmi, R. & Nasiri, H., 17/07/2023, In: Diagnostics. 13, 14, 2391.

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

  5. PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease[Formula presented]

    Ghaheri, P., Shateri, A. & Nasiri, H., 31/05/2023, In: Software Impacts. 16, 100504.

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

  6. 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

  7. Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost

    Nasiri, H. & Hasani, S., 31/08/2022, In: Radiography. 28, 3, p. 732-738 7 p.

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

  8. COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19

    Hasani, S. & Nasiri, H., 28/02/2022, In: Software Impacts. 11, 100210.

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

  9. Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development

    Chehreh Chelgani, S., Nasiri, H. & Alidokht, M., 30/11/2021, In: International Journal of Mining Science and Technology. 31, 6, p. 1135-1144 10 p.

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

  10. Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development

    Chehreh Chelgani, S., Nasiri, H. & Tohry, A., 30/11/2021, In: Advanced Powder Technology. 32, 11, p. 4141-4148 8 p.

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