Supervised Machine Learning Techniques: An Overview with Applications to
Banking

Supervised Machine Learning Techniques: An Overview with Applications to Banking

28 July 2020

Jie Chen

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Papers citing "Supervised Machine Learning Techniques: An Overview with Applications to Banking"

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Title
Cross Spline Net and a Unified World Linwei Hu Ye Jin Choi V. Nair 29 0 0 24 Oct 2024
Assessing Robustness of Machine Learning Models using Covariate Perturbations Arun Prakash A. Bhattacharyya Eric Heim Vijayan N. Nair Model OOD AAML 59 1 0 02 Aug 2024
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 67 3 0 16 Feb 2023
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation A. Bhattacharyya J. Vaughan V. Nair 25 0 0 15 Nov 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights Tianshu Feng Zhipu Zhou Tarun Joshi V. Nair FAtt 48 4 0 12 Aug 2022
Quantifying Inherent Randomness in Machine Learning Algorithms Soham Raste Rahul Singh J. Vaughan V. Nair 133 9 0 24 Jun 2022
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study A. J. Liu Arpita Mukherjee Linwei Hu Jie Chen V. Nair 59 3 0 27 Apr 2022