William J. Welch

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 22

Top Topics

Image Generation

Training Samples

Gaussian Process

Top Venues

J. Chem. Inf. Model.

SIAM/ASA J. Uncertain. Quantification

J. Comput. Graph. Stat.

Publications

Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable. Neurocomputing 517 (2023)
G. Alexi Rodriguez-Arelis, William J. Welch
Data-Adaptive Dimensional Analysis for Accurate Interpolation and Extrapolation in Computer Experiments. CoRR (2023)
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch
Distilling and transferring knowledge via cGAN-generated samples for image classification and regression. Expert Syst. Appl. 213 (Part C) (2023)
Sonja Isberg, William J. Welch
Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code. J. Comput. Graph. Stat. 31 (4) (2022)
Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch
Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks. CoRR (2021)
Xin Ding, Qiong Zhang, William J. Welch
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images Based on Annotation-Free Training Samples. CICAI (2021)
Grace G. Hsu, Jabed H. Tomal, William J. Welch
EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification. Comput. Biol. Medicine 136 (2021)
Xin Ding, Z. Jane Wang, Zuheng Xu, Yongwei Wang, William J. Welch
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression. CoRR (2021)
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. ICLR (2021)
Xin Ding, Z. Jane Wang, William J. Welch
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss. IEEE Trans. Signal Process. 68 (2020)
Xin Ding, Qiong Zhang, William J. Welch
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples. CoRR (2020)
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. CoRR (2020)
Hao Chen, William J. Welch
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile. CoRR (2019)
Sathya Narayanan, Kathryn Cunningham, Sonia M. Arteaga, William J. Welch, Leslie Maxwell, Zechariah Chawinga, Bude Su
Upward Mobility for Underrepresented Students: A Model for a Cohort-Based Bachelor's Degree in Computer Science. SIGCSE (2018)
Wenyi Wang, William J. Welch
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter. CoRR (2018)
Sathya Narayanan, Kathryn Cunningham, Sonia M. Arteaga, William J. Welch, Leslie Maxwell, Zechariah Chawinga, Bude Su
Upward mobility for underrepresented students: a model for a cohort-based bachelor's degree in computer science. Inroads 9 (2) (2018)
Michael Fernández, Fuqiang Ban, Godwin Woo, Michael Hsing, Takeshi Yamazaki, Eric Leblanc, Paul S. Rennie, William J. Welch, Artem Cherkasov
Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. J. Chem. Inf. Model. 58 (8) (2018)
Hao Chen, Jason L. Loeppky, William J. Welch
Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
James R. Gattiker, Michael S. Hamada, David Higdon, Matthias Schonlau, William J. Welch
Using a Gaussian Process as a Nonparametric Regression Model. Qual. Reliab. Eng. Int. 32 (2) (2016)
Hao Chen, William J. Welch
Comment: Expected Improvement for Efficient Blackbox Constrained Optimization. Technometrics 58 (1) (2016)
Jabed H. Tomal, William J. Welch, Ruben H. Zamar
Exploiting Multiple Descriptor Sets in QSAR Studies. J. Chem. Inf. Model. 56 (3) (2016)
Yan Yuan, Hugh A. Chipman, William J. Welch
Harvesting Classification Trees for Drug Discovery. J. Chem. Inf. Model. 52 (12) (2012)
Jacqueline M. Hughes-Oliver, Atina D. Brooks, William J. Welch, Morteza G. Khaledi, Douglas M. Hawkins, S. Stanley Young, Kirtesh Patil, Gary W. Howell, Raymond T. Ng, Moody T. Chu
ChemModLab: A Web-Based Cheminformatics Modeling Laboratory. Silico Biol. 11 (1-2) (2012)
Guohua Yan, William J. Welch, Ruben H. Zamar, Loubna Akhabir, Treena McDonald
Automatic genotype calling of single nucleotide polymorphisms using a linear grouping algorithm. ICNC (2011)
Jason L. Loeppky, Jerome Sacks, William J. Welch
Choosing the Sample Size of a Computer Experiment: A Practical Guide. Technometrics 51 (4) (2009)
X. Sunny Wang, G. A. Salloum, Hugh A. Chipman, William J. Welch, S. Stanley Young
Exploration of Cluster Structure-Activity Relationship Analysis in Efficient High-Throughput Screening. J. Chem. Inf. Model. 47 (3) (2007)
Mohua Podder, William J. Welch, Ruben H. Zamar, Scott J. Tebbutt
Dynamic variable selection in SNP genotype autocalling from APEX microarray data. BMC Bioinform. 7 (2006)
Raymond L. Lam, William J. Welch, S. Stanley Young
Uniform Coverage Designs for Molecule Selection. Technometrics 44 (2) (2002)
Donald R. Jones, Matthias Schonlau, William J. Welch
Efficient Global Optimization of Expensive Black-Box Functions. J. Glob. Optim. 13 (4) (1998)
Maria C. Bernardo, Robert J. Buck, Lihsin Liu, William A. Nazaret, Jerome Sacks, William J. Welch
Integrated circuit design optimization using a sequential strategy. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11 (3) (1992)
Tat-Kwan Yu, Sung-Mo Kang, Jerome Sacks, William J. Welch
Parametric yield optimization of CMOS analogue circuits by quadratic statistical circuit performance models. Int. J. Circuit Theory Appl. 19 (6) (1991)
Tat-Kwan Yu, Sung-Mo Kang, Jerome Sacks, William J. Welch
An efficient method for parametric yield optimization of MOS integrated circuits. ICCAD (1989)