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Joel Vaughan

Assessing Robustness of Machine Learning Models using Covariate Perturbations

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Aug 02, 2024
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Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation

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Nov 15, 2022
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Quantifying Inherent Randomness in Machine Learning Algorithms

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Jun 24, 2022
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Interpretable Feature Engineering for Time Series Predictors using Attention Networks

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May 23, 2022
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Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

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Nov 17, 2021
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Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons

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Sep 09, 2021
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Supervised Machine Learning Techniques: An Overview with Applications to Banking

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Jul 28, 2020
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Adaptive Explainable Neural Networks (AxNNs)

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Apr 05, 2020
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Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning

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Sep 08, 2018
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Explainable Neural Networks based on Additive Index Models

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Jun 05, 2018
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