Daniel W. Apley
Affiliations:- Northwestern University, Evanston, IL, USA
According to our database1,
Daniel W. Apley
authored at least 45 papers
between 1999 and 2024.
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Bibliography
2024
Discovering interpretable structure in longitudinal predictors via coefficient trees.
Adv. Data Anal. Classif., December, 2024
Mach. Learn., July, 2024
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data.
CoRR, 2024
Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores.
CoRR, 2024
2023
SIAM/ASA J. Uncertain. Quantification, December, 2023
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors.
Technometrics, April, 2023
J. Comput. Graph. Stat., 2023
2022
Technometrics, 2022
2021
Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems.
ACM Trans. Model. Comput. Simul., 2021
Stat. Anal. Data Min., 2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors.
CoRR, 2021
2020
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors.
Technometrics, 2020
SIAM/ASA J. Uncertain. Quantification, 2020
2019
Neurocomputing, 2019
An exploratory analysis approach for understanding variation in stochastic textured surfaces.
Comput. Stat. Data Anal., 2019
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables.
CoRR, 2019
2018
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2018
Technometrics, 2018
J. Mach. Learn. Res., 2018
2017
Qual. Reliab. Eng. Int., 2017
2016
A design of experiments approach to validation sampling for logistic regression modeling with error-prone medical records.
J. Am. Medical Informatics Assoc., 2016
2014
Feature selection for noisy variation patterns using kernel principal component analysis.
Knowl. Based Syst., 2014
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Posterior Distribution Charts: A Bayesian Approach for Graphically Exploring a Process Mean.
Technometrics, 2012
J. Oper. Res. Soc., 2012
2011
Improved design of robust exponentially weighted moving average control charts for autocorrelated processes.
Qual. Reliab. Eng. Int., 2011
Efficient Nested Simulation for Estimating the Variance of a Conditional Expectation.
Oper. Res., 2011
Image denoising with a multi-phase kernel principal component approach and an ensemble version.
Proceedings of the 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making, 2011
2010
2008
Blind Identification of Manufacturing Variation Patterns by Combining Source Separation Criteria.
Technometrics, 2008
2006
Technometrics, 2006
2005
A characterization of diagnosability conditions for variance components analysis in assembly operations.
IEEE Trans Autom. Sci. Eng., 2005
2004
Cautious Control of Industrial Process Variability With Uncertain Input and Disturbance Model Parameters.
Technometrics, 2004
2003
Identifying Spatial Variation Patterns in Multivariate Manufacturing Processes - A Blind Separation Approach.
Technometrics, 2003
Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty.
Technometrics, 2003
MLPCA Based Logistical Regression Analysis for Pattern Clustering in Manufacturing Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
2001
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes.
Technometrics, 2001
1999
An order downdating algorithm for tracking system order and parameters in recursive least squares identification.
IEEE Trans. Signal Process., 1999