Daniel W. Apley

1. Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
   2016/12/27 by Daniel W. Apley, Jingyu Zhu, Apley, Daniel W. +1 · 31 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Data Analysis with R #FOS: Computer and information sciences #Methodology (stat.ME) #Neural Networks and Applications
2. Local Gaussian Process Approximation for Large Computer Experiments
   2013/03/02 by Robert B. Gramacy, Gramacy, Robert B., Daniel W. Apley +1 · 15 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Optimal Experimental Design Methods
3. Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
   2019/10/03 by Yichi Zhang, Zhang, Yichi, Daniel W. Apley +3 · 6 citations
   Computer Science · Decision Sciences · Materials Science · #Advanced Multi-Objective Optimization Algorithms #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Optimal Experimental Design Methods
4. Patchwork Kriging for Large-scale Gaussian Process Regression
   2017/01/23 by Chiwoo Park, Park, Chiwoo, Daniel W. Apley +1 · 5 citations
   Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Probabilistic and Robust Engineering Design
5. Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors
   2020/12/12 by Kungang Zhang, Zhang, Kungang, Anh Tuan Bui +3 · 4 citations
   Computer Science · #Data Stream Mining Techniques #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
6. Fully Bayesian inference for latent variable Gaussian process models
   2022/11/04 by Suraj Yerramilli, Akshay Iyer, Yerramilli, Suraj +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design
7. Nonstationarity Analysis of Materials Microstructures via Fisher Score\n Vectors
   2020/12/21 by Kungang Zhang, Daniel W. Apley, Zhang, Kungang +3 · 1 citation
   Arts and Humanities · Engineering · Materials Science · #Applications (stat.AP) #Cultural Heritage Materials Analysis #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning in Materials Science
8. Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
   2024/12/23 by Hengrui Zhang, Zhang, Hengrui, Alexandru B. Georgescu +13 · 1 citation
   Engineering · Materials Science · #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Modular Robots and Swarm Intelligence #Semiconductor materials and devices #and Science (cs.CE)