William J. Welch

发表

Treating Computer Experiment: What Matters What Doesn't What Evidence.

John Davis Jakeman, Jerome Sacks, Jason L. Loeppky, 2014 .

Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code

William J. Welch, Sonja Surjanovic, W. Welch, 2019, 1907.01181.

Harvesting Classification Trees for Drug Discovery

William J. Welch, Yan Yuan, Hugh A. Chipman, 2012, J. Chem. Inf. Model..

Designs for Computer Experiments

Jerome Sacks, William J. Welch, Susannah B. Schiller, 1989 .

Upward Mobility for Underrepresented Students: A Model for a Cohort-Based Bachelor's Degree in Computer Science

Sathya Narayanan, William J. Welch, Sonia M. Arteaga, 2018, SIGCSE.

Integrated circuit design optimization using a sequential strategy

Jerome Sacks, William J. Welch, Robert J. Buck, 1992, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

Exploiting Multiple Descriptor Sets in QSAR Studies

Ruben H. Zamar, William J. Welch, Jabed H. Tomal, 2016, J. Chem. Inf. Model..

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

Qiong Zhang, William J. Welch, Xin Ding, 2020, CAAI International Conference on Artificial Intelligence.

[Design and Analysis of Computer Experiments]: Rejoinder

Henry P. Wynn, Jerome Sacks, William J. Welch, 1989 .

Uniform Coverage Designs for Molecule Selection

William J. Welch, S. Stanley Young, Raymond L. Lam, 2002, Technometrics.

Comment: Expected Improvement for Efficient Blackbox Constrained Optimization

Hao Chen, William J. Welch, W. Welch, 2016, Technometrics.

Ensembles of phalanxes across assessment metrics for robust ranking of homologous proteins

Ruben H. Zamar, William J. Welch, Jabed H. Tomal, 2017 .

Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile pdf

Hao Chen, William J. Welch, W. Welch, 2019, ArXiv.

Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model

Hao Chen, Jason L. Loeppky, William J. Welch, 2017, SIAM/ASA J. Uncertain. Quantification.

Parametric yield optimization of CMOS analogue circuits by quadratic statistical circuit performance models

Sung-Mo Kang, Jerome Sacks, William J. Welch, 1991, Int. J. Circuit Theory Appl..

Mining Nuggets of Activity in High Dimensional Space from High Throughput Screening Data

Yuanyuan Wang, William J. Welch, Hugh A. Chipman, 2002 .

Computer experiments and global optimization

William J. Welch, Matthias Schonlau, W. Welch, 1997 .

Automatic genotype calling of single nucleotide polymorphisms using a linear grouping algorithm

Ruben H. Zamar, William J. Welch, Guohua Yan, 2011, 2011 Seventh International Conference on Natural Computation.

Design and Analysis for Modeling and Predicting Spatial Contamination

Jerome Sacks, William J. Welch, Markus Abt, 1999 .

Screening, predicting, and computer experiments

Henry P. Wynn, Jerome Sacks, William J. Welch, 1992 .

Upward mobility for underrepresented students

Sathya Narayanan, William J. Welch, Sonia M. Arteaga, 2018, Inroads.

Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery

William J. Welch, Hui Shen, Jacqueline M. Hughes-Oliver, 2011 .

Global versus local search in constrained optimization of computer models

Donald R. Jones, William J. Welch, Matthias Schonlau, 1998 .

Dynamic variable selection in SNP genotype autocalling from APEX microarray data

Ruben H. Zamar, William J. Welch, Mohua Podder, 2006, BMC Bioinformatics.

Choosing the Sample Size of a Computer Experiment: A Practical Guide

Jerome Sacks, Jason L. Loeppky, William J. Welch, 2009, Technometrics.

Exploration of Cluster Structure-Activity Relationship Analysis in Efficient High-Throughput Screening

William J. Welch, Hugh A. Chipman, S. Stanley Young, 2007, J. Chem. Inf. Model..

Computer Experiments for Quality Control by Parameter Design

Jerome Sacks, William J. Welch, Tat-Kwan Yu, 1990 .

Computer-aided design of experiments

William J. Welch, W. Welch, 1981 .

Uniform Coverage Designs for

William J. Welch, S. Stanley Young, W. Welch, 2000 .

Taguchi's parameter design: a panel discussion

G. Geoffrey Vining, Bovas Abraham, Raghu N. Kacker, 1992 .

Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization

William J. Welch, Matthias Schonlau, W. Welch, 2006 .

A Data-Analytic Approach to Bayesian Global Optimization

Donald R. Jones, William J. Welch, Matthias Schonlau, 1997 .

CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation pdf

William J. Welch, Zuheng Xu, Yongwei Wang, 2020, ICLR.

ChemModLab: A Web-Based Cheminformatics Modeling Laboratory

Douglas M. Hawkins, Raymond T. Ng, Moody T. Chu, 2012, Silico Biol..

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

Xin Ding, William J. Welch, Z. Jane Wang, 2020, IEEE Transactions on Signal Processing.

Sensitivity Analysis of Computer Models: World Bank HDM-III Model

Ralph Haas, William J. Welch, Donath Mrawira, 1999 .

Efficient Global Optimization of Expensive Black-Box Functions

Donald R. Jones, William J. Welch, Matthias Schonlau, 1998, J. Glob. Optim..

Using a Gaussian Process as a Nonparametric Regression Model

James R. Gattiker, David Higdon, Michael S. Hamada, 2016, Qual. Reliab. Eng. Int..

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

Wenyi Wang, William J. Welch, 2018, ArXiv.

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

William J. Welch, Zuheng Xu, Xin Ding, 2021, Expert Syst. Appl..

EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification

William J. Welch, Jabed H. Tomal, Grace G. Hsu, 2021, Comput. Biol. Medicine.

Efficient Density Ratio-Guided Subsampling of Conditional GANs, With Conditioning on a Class or a Continuous Variable

William J. Welch, Xin Ding, Z. Jane Wang, 2021 .

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

William J. Welch, Xin Ding, Z. Jane Wang, 2021, ArXiv.

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

Qiong Zhang, William J. Welch, Xin Ding, 2020, CAAI International Conference on Artificial Intelligence.

Construction of Permutation Tests

William J. Welch, W. Welch, 1990 .

Response to James M. Lucas

Henry P. Wynn, Jerome Sacks, William J. Welch, 1996 .

Circuit optimization via sequential computer experiments: design of an output buffer

Jerome Sacks, William J. Welch, Robert J. Buck, 2002 .

Fast Bayesian Inference for Gaussian Process Models

Jason L. Loeppky, William J. Welch, W. Welch, 2007 .

Parameter space exploration of an ocean general circulation model using an isopycnal mixing parameterization

William J. Welch, William A. Gough, W. Welch, 1994 .

Robust Permutation Tests for Matched-Pairs Designs

William J. Welch, W. Welch, Leopoldo Gutierrez, 1988 .