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William J. Welch
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2020 – today
- 2023
- [j21]Xin Ding
, Yongwei Wang
Distilling and transferring knowledge via cGAN-generated samples for image classification and regression. Expert Syst. Appl. 213(Part C): 119060 (2023) - [j20]Xin Ding
Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable. Neurocomputing 517: 188-200 (2023) - [j19]Xin Ding
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8143-8158 (2023) - [i7]G. Alexi Rodriguez-Arelis, William J. Welch:
Data-Adaptive Dimensional Analysis for Accurate Interpolation and Extrapolation in Computer Experiments. CoRR abs/2312.10100 (2023) - 2022
- [j18]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): 1280-1291 (2022) - 2021
- [j17]Grace G. Hsu
EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification. Comput. Biol. Medicine 136: 104760 (2021) - [c5]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: 662-673 - [c4]Xin Ding
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. ICLR 2021 - [i6]Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch:
Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks. CoRR abs/2103.11166 (2021) - [i5]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 abs/2104.03164 (2021) - 2020
- [j16]Xin Ding
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss. IEEE Trans. Signal Process. 68: 1910-1922 (2020) - [i4]Xin Ding, Qiong Zhang, William J. Welch:
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples. CoRR abs/2010.14782 (2020) - [i3]Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. CoRR abs/2011.07466 (2020)
2010 – 2019
- 2019
- [i2]Hao Chen
Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile. CoRR abs/1908.05357 (2019) - 2018
- [j15]Sathya Narayanan, Kathryn Cunningham, Sonia M. Arteaga, William J. Welch, Leslie Maxwell
Upward mobility for underrepresented students: a model for a cohort-based bachelor's degree in computer science. Inroads 9(2): 72-78 (2018) - [j14]Michael Fernández
Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. J. Chem. Inf. Model. 58(8): 1533-1543 (2018) - [c3]Sathya Narayanan, Kathryn Cunningham
Upward Mobility for Underrepresented Students: A Model for a Cohort-Based Bachelor's Degree in Computer Science. SIGCSE 2018: 705-710 - [i1]Wenyi Wang, William J. Welch:
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter. CoRR abs/1802.03532 (2018) - 2017
- [j13]Hao Chen
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): 598-620 (2017) - 2016
- [j12]Jabed H. Tomal
Exploiting Multiple Descriptor Sets in QSAR Studies. J. Chem. Inf. Model. 56(3): 501-509 (2016) - [j11]James R. Gattiker
Using a Gaussian Process as a Nonparametric Regression Model. Qual. Reliab. Eng. Int. 32(2): 673-680 (2016) - [j10]Hao Chen
Comment: Expected Improvement for Efficient Blackbox Constrained Optimization. Technometrics 58(1): 12-15 (2016) - 2012
- [j9]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): 61-81 (2012) - [j8]Yan Yuan, Hugh A. Chipman, William J. Welch:
Harvesting Classification Trees for Drug Discovery. J. Chem. Inf. Model. 52(12): 3169-3180 (2012) - 2011
- [c2]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: 2391-2395
2000 – 2009
- 2009
- [j7]Jason L. Loeppky, Jerome Sacks, William J. Welch:
Choosing the Sample Size of a Computer Experiment: A Practical Guide. Technometrics 51(4): 366-376 (2009) - 2007
- [j6]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): 1206-1214 (2007) - 2006
- [j5]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: 521 (2006) - 2002
- [j4]Raymond L. Lam, William J. Welch, S. Stanley Young:
Uniform Coverage Designs for Molecule Selection. Technometrics 44(2): 99-109 (2002)
1990 – 1999
- 1998
- [j3]Donald R. Jones
Efficient Global Optimization of Expensive Black-Box Functions. J. Glob. Optim. 13(4): 455-492 (1998) - 1992
- [j2]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): 361-372 (1992) - 1991
- [j1]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): 579-592 (1991)
1980 – 1989
- 1989
- [c1]Tat-Kwan Yu, Sung-Mo Kang, Jerome Sacks, William J. Welch:
An efficient method for parametric yield optimization of MOS integrated circuits. ICCAD 1989: 190-193
Coauthor Index
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