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William J. Welch

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Data-Adaptive Dimensional Analysis for Accurate Interpolation and Extrapolation in Computer Experiments

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Dec 14, 2023
G. Alexi Rodriguez-Arelis, William J. Welch

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Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

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May 01, 2021
Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch

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Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks

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Mar 20, 2021
Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch

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CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation

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Nov 15, 2020
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang

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Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples

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Oct 29, 2020
Xin Ding, Qiong Zhang, William J. Welch

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Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss

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Nov 01, 2019
Xin Ding, Z. Jane Wang, William J. Welch

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Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile

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Aug 14, 2019
Hao Chen, William J. Welch

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Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter

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Feb 16, 2018
Wenyi Wang, William J. Welch

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Regression Phalanxes

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Jul 03, 2017
Hongyang Zhang, William J. Welch, Ruben H. Zamar

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Ensembling classification models based on phalanxes of variables with applications in drug discovery

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May 15, 2015
Jabed H. Tomal, William J. Welch, Ruben H. Zamar

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