William J. Welch
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William J. Welch's AcademicInfluence.com Rankings
William J. Welchmathematics Degrees
Mathematics
#7774
World Rank
#10552
Historical Rank
Operations Research
#87
World Rank
#89
Historical Rank
Measure Theory
#2593
World Rank
#3107
Historical Rank
William J. Welchcomputer-science Degrees
Computer Science
#10658
World Rank
#11205
Historical Rank
Theoretical Computer Science
#122
World Rank
#122
Historical Rank
Machine Learning
#4857
World Rank
#4914
Historical Rank
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Mathematics Computer Science
William J. Welch's Degrees
- PhD Operations Research Stanford University
- Masters Operations Research Stanford University
- Bachelors Mathematics University of California, Berkeley
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Why Is William J. Welch Influential?
(Suggest an Edit or Addition)William J. Welch's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Efficient Global Optimization of Expensive Black-Box Functions (1998) (6582)
- Designs for Computer Experiments (1989) (923)
- Taguchi's parameter design: a panel discussion (1992) (673)
- Screening, predicting, and computer experiments (1992) (672)
- Computer-aided design of experiments (1981) (592)
- Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009) (532)
- Computer experiments and global optimization (1997) (449)
- Global versus local search in constrained optimization of computer models (1998) (419)
- Computer Experiments for Quality Control by Parameter Design (1990) (391)
- [Design and Analysis of Computer Experiments]: Rejoinder (1989) (186)
- Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria (1982) (161)
- Algorithmic complexity: three NP- hard problems in computational statistics (1982) (139)
- Construction of Permutation Tests (1990) (137)
- Integrated circuit design optimization using a sequential strategy (1992) (133)
- Fisher information and maximum‐likelihood estimation of covariance parameters in Gaussian stochastic processes (1998) (83)
- Computer-Aided Design of Experiments for Response Estimation (1984) (80)
- A mean squared error criterion for the design of experiments (1983) (78)
- Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images (2018) (71)
- A system for quality improvement via computer experiments (1991) (70)
- Artic sea ice variability: Model sensitivities and a multidecadal simulation (1994) (64)
- A numerical study of the interaction between unsteay free-stream disturbances and localized variations in surface geometry (1989) (57)
- Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization (2006) (57)
- Design and analysis of computer experiments when the output is highly correlated over the input space (2002) (54)
- ACED: Algorithms for the Construction of Experimental Designs (1985) (53)
- Circuit optimization via sequential computer experiments: design of an output buffer (2002) (51)
- Uniform Coverage Designs for Molecule Selection (2002) (44)
- Analysis Methods for Computer Experiments: How to Assess and What Counts? (2016) (42)
- Analysis of protein activity data by Gaussian stochastic process models. (1999) (40)
- A Data-Analytic Approach to Bayesian Global Optimization (1997) (37)
- CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation (2020) (31)
- Parameter space exploration of an ocean general circulation model using an isopycnal mixing parameterization (1994) (31)
- Sensitivity Analysis of Computer Models: World Bank HDM-III Model (1999) (28)
- Robust Permutation Tests for Matched-Pairs Designs (1988) (24)
- Predicting Urban Ozone Levels and Trends with Semiparametric Modeling (1996) (21)
- Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives (2016) (21)
- Initial compound selection for sequential screening. (2002) (21)
- Design and Analysis for Modeling and Predicting Spatial Contamination (1999) (20)
- Parametric yield optimization of CMOS analogue circuits by quadratic statistical circuit performance models (1991) (19)
- ChemModLab: A Web-Based Cheminformatics Modeling Laboratory (2012) (16)
- Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other (1982) (15)
- An efficient method for parametric yield optimization of MOS integrated circuits (1989) (15)
- Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss (2019) (13)
- Arctic sea ice variability: Model sensitivities and a multidecadal (1994) (12)
- Dynamic variable selection in SNP genotype autocalling from APEX microarray data (2006) (11)
- Fast Bayesian Inference for Gaussian Process Models (2007) (11)
- Exploiting Multiple Descriptor Sets in QSAR Studies (2016) (10)
- Using a Gaussian Process as a Nonparametric Regression Model (2016) (8)
- Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery (2011) (7)
- Correlation parameterization in random function models to improve normal approximation of the likelihood or posterior (2007) (7)
- Ensembling classification models based on phalanxes of variables with applications in drug discovery (2013) (7)
- A Method for Constructing Valid Restricted Randomization Schemes Using the Theory of D‐Optimal Design of Experiments (1981) (7)
- Response to James M. Lucas (1996) (5)
- Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model (2017) (4)
- Comparison of methods based on diversity and similarity for molecule selection and the analysis of drug discovery data. (2004) (4)
- Model‐based linear clustering (2010) (3)
- Temporal and Spatial Variability of Annual Rainfall Patterns in Guanacaste, Costa Rica (2016) (3)
- Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. (2020) (3)
- Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression (2021) (3)
- Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter (2018) (3)
- Exploration of Cluster Structure-Activity Relationship Analysis in Efficient High-Throughput Screening (2007) (2)
- Mining Nuggets of Activity in High Dimensional Space from High Throughput Screening Data (2002) (2)
- EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification (2021) (2)
- Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks (2021) (2)
- Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples (2020) (2)
- Ensembles of phalanxes across assessment metrics for robust ranking of homologous proteins (2017) (1)
- Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code (2019) (1)
- Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable (2021) (1)
- Harvesting Classification Trees for Drug Discovery (2012) (1)
- Comment: Expected Improvement for Efficient Blackbox Constrained Optimization (2016) (1)
- A likelihood approach to linear clustering (2010) (1)
- Index of authors, volume 79, 2017 (2017) (1)
- Exploration of Cluster Structure—Activity Relationship Analysis in Efficient High-Throughput Screening. (2007) (1)
- Uniform Coverage Designs for (2000) (0)
- Discussion of the paper «The foundation of experimental design and observation» by H. P. Wynn (1993) (0)
- Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science (2023) (0)
- Air Quality Model Evaluation Using Gaussian Process Modelling and Empirical Orthogonal Function Decomposition (2014) (0)
- Regression Phalanxes (2017) (0)
- THE UNIVERSITY OF BRITISH COLUMBIA DEPARTMENT OF STATISTICS TECHNICAL REPORT # 276 BY (2016) (0)
- Tension Proofloading on Fingerjointed Lumber: Benefits and Optimization (2013) (0)
- Treating Computer Experiment: What Matters What Doesn't What Evidence. (2014) (0)
- Automatic genotype calling of single nucleotide polymorphisms using a linear grouping algorithm (2011) (0)
- Robust ranking by ensembling of diverse models and assessment metrics (2022) (0)
- Ensemble of Phalanxes [R package EPX version 1.0.3] (2020) (0)
- American Society for Quality Taguchi ' s Parameter Design : A Panel Discussion (2008) (0)
- Image Generation Using Continuous Conditional Generative Adversarial Networks (2022) (0)
- Sequential Computer Experimental Design for Estimating an Extreme Probability or Quantile (2019) (0)
- Adaptive Design and Analysis Via Partitioning Trees for Emulation of a Complex Computer Code (2022) (0)
- Efficient Density Ratio-Guided Subsampling of Conditional GANs, With Conditioning on a Class or a Continuous Variable (2021) (0)
- Tension Proofloading of Fingerjointed Lumber: Optimizing the Benefits (2014) (0)
- Ensembles of Models and Metrics for Robust Ranking of Homologous Proteins (2017) (0)
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What Schools Are Affiliated With William J. Welch?
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