Choudhury, A., Mondal, A., & Sarkar, S. (2024). Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: A comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks. The European physical journal. ST, Special topics, 233(15-16), 2425-2463. https://doi.org/10.1140/epjs/s11734-024-01308-x
Chicago-Zitierstil (17. Ausg.)Choudhury, Arghya, Arpita Mondal, und Subhadeep Sarkar. "Searches for the BSM Scenarios at the LHC Using Decision Tree-based Machine Learning Algorithms: A Comparative Study and Review of Random Forest, AdaBoost, XGBoost and LightGBM Frameworks." The European Physical Journal. ST, Special Topics 233, no. 15-16 (2024): 2425-2463. https://doi.org/10.1140/epjs/s11734-024-01308-x.
MLA-Zitierstil (9. Ausg.)Choudhury, Arghya, et al. "Searches for the BSM Scenarios at the LHC Using Decision Tree-based Machine Learning Algorithms: A Comparative Study and Review of Random Forest, AdaBoost, XGBoost and LightGBM Frameworks." The European Physical Journal. ST, Special Topics, vol. 233, no. 15-16, 2024, pp. 2425-2463, https://doi.org/10.1140/epjs/s11734-024-01308-x.