Zooming, multiple windows, and visual working memory. - Matthew Plumlee; Colin Ware (AVI, 2002)

Haptic Interface for Center-of-Workspace Interaction. - Rick Komerska; Colin Ware; Matthew Plumlee (Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2002)

An evaluation of methods for linking 3D views. - Matthew Plumlee; Colin Ware (SI3D, 2003)

A System for Real-Time Spatio-Temporal 3-D Data Visualization in Underwater Robotic Exploration. - Stephen C. Martin; Louis L. Whitcomb; Roland Arsenault; Matthew Plumlee; Colin Ware (ICRA, 2005)

Visualizing the Underwater Behavior of Humpback Whales. - Colin Ware; Roland Arsenault; Matthew Plumlee; David Wiley (IEEE Computer Graphics and Applications, 2006)

Zooming versus multiple window interfaces: Cognitive costs of visual comparisons. - Matthew Plumlee; Colin Ware (ACM Trans. Comput. Hum. Interact., 2006)

Designing a better weather display. - Colin Ware; Matthew Plumlee (Inf. Vis., 2013)

Comment: Alternative Strategies for Experimental Design. - Matthew Plumlee; V. Roshan Joseph; C. F. Jeff Wu (Technometrics, 2013)

Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling. - Roisin Langan; Richard Archibald; Matthew Plumlee; Salil Mahajan; Daniel M. Ricciuto; Chengen Yang; Rui Mei; Jiafu Mao; Xiaoying Shi; Joshua S. Fu (ICCS, 2014)

Building Accurate Emulators for Stochastic Simulations via Quantile Kriging. - Matthew Plumlee; Rui Tuo (Technometrics, 2014)

Fast methods for identifying high dimensional systems using observations. - Matthew Plumlee (2015)

Learning stochastic model discrepancy. - Matthew Plumlee; Henry Lam (WSC, 2016)

Improving prediction from stochastic simulation via model discrepancy learning. - Henry Lam; Xinyu Zhang; Matthew Plumlee (WSC, 2017)

Lifted Brownian Kriging Models. - Matthew Plumlee; Daniel W. Apley (Technometrics, 2017)

Gradient based criteria for Sequential Design. - Collin B. Erickson; Bruce E. Ankenman; Matthew Plumlee; Susan M. Sanchez (WSC, 2018)

Plausible Optima. - Matthew Plumlee; Barry L. Nelson (WSC, 2018)

Revisiting Subset Selection. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (WSC, 2020)

Flat Chance! Using Stochastic Gradient Estimators to Assess Plausible Optimality for Convex Functions. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (WSC, 2021)

Calibration Using Emulation of Filtered Simulation Results. - Özge Sürer; Matthew Plumlee (WSC, 2021)

Robust System Design with Limited Experimental Data and an Inexact Simulation Model. - Wenbo Sun; Matthew Plumlee; Jingwen Hu; Jionghua (Judy) Jin (SIAM/ASA J. Uncertain. Quantification, 2021)

Gradient-based criteria for sequential experiment design. - Collin B. Erickson; Bruce E. Ankenman; Matthew Plumlee; Susan M. Sanchez (Qual. Reliab. Eng. Int., 2021)

A Classification Method for Ranking and Selection with Covariates. - Gregory Keslin; Barry L. Nelson; Matthew Plumlee; Bernardo K. Pagnoncelli; Hamed Rahimian (WSC, 2022)

Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces. - David J. Eckman; Matthew Plumlee; Barry L. Nelson (Oper. Res., 2022)

Constructing a Simulation Surrogate with Partially Observed Output. - Moses Y.-H. Chan; Matthew Plumlee; Stefan M. Wild (Technometrics, 2024)

Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models. - Özge Sürer; Matthew Plumlee; Stefan M. Wild (Technometrics, 2024)

Building Trees for Probabilistic Prediction via Scoring Rules. - Sara Shashaani; Özge Sürer; Matthew Plumlee; Seth D. Guikema (Technometrics, 2024)