van Beek A, Ghumman UF, Munshi J, Tao S, Chien T, Balasubramanian G, Plumlee M, Apley D and Chen W, "Scalable adaptive batch sampling in simulation-based Design with heteroscedastic noise", Journal of Mechanical Design, vol. 143, no. 3, 2021.
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van Beek A, Tao S, Plumlee M, Apley DW and Chen W, "Integration of normative decision-making and batch sampling for global metamodeling", Journal of Mechanical Design, vol. 142, no. 3, 2020.
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Sung CL, Wang W, Plumlee M and Haaland B, "Multiresolution functional ANOVA for large-scale, many-input computer experiments", Journal of the American Statistical Association, vol. 115, no. 530, pp. 908–919, 2020.
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Plumlee M, Jin R, Roshan Joseph V and Shi J, "Gaussian process modeling for engineered surfaces with applications to Si wafer production", Stat, vol. 2, no. 1, pp. 159–170, 2013.
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Plumlee M and Shi J, "Estimating spatial and temporal patterns of defects", Manufacturing Letters, vol. 1, no. 1, pp. 25–27, 2013.
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Surer O and Plumlee M, "Calibration using emulation of filtered simulation results", In 2021 Winter Simulation Conference (WSC), 2021. accepted [bibtex]
Eckman DJ, Plumlee M and Nelson BL, "Flat chance! Using stochastic gradients to assess plausible optimality for convex functions", In 2021 Winter Simulation Conference (WSC), 2021. accepted [bibtex]
van Beek A, Farooq Ghumman U, Munshi J, Tao S, Chien T, Balasubramanian G, Plumlee M, Apley D and Chen W, "Scalable adaptive batch sampling in simulation-based design with heteroscedastic noise", In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2020.
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Eckman DJ, Plumlee M and Nelson B.L., "Revisiting subset selection", In 2020 Winter Simulation Conference (WSC), pp. 2972-2983, 2020.
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Asher TG, Plumlee M, Chang W, Bilskie MV and Luettich RA, "A method for probabilistic surge forecasting with high-fidelity models", In 34th Conference on Hurricanes and Tropical Meteorology, 2020.
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Plumlee M and Nelson BL, "Plausible optima", In 2018 Winter Simulation Conference (WSC), pp. 1981–1992, 2018.
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Liu B, Plumlee M and Byon E, "Data-driven parameter calibration in wake models", In 2018 Wind Energy Symposium, pp. 2017, 2018.
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Erickson CB, Ankenman BE, Plumlee M and Sanchez SM, "Gradient based criteria for sequential design", In 2018 Winter Simulation Conference (WSC), pp. 467–478, 2018.
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Lam H, Zhang X and Plumlee M, "Improving prediction from stochastic simulation via model discrepancy learning", In 2017 Winter Simulation Conference (WSC), pp. 1808–1819, 2017.
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Plumlee M and Lam H, "Learning stochastic model discrepancy", In 2016 Winter Simulation Conference (WSC), pp. 413–424, 2016.
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Langan R, Archibald R, Plumlee M, Mahajan S, Ricciuto D, Yang C, Mei R, Mao J, Shi X and Fu JS, "Stochastic parameterization to represent variability and extremes in climate modeling", pp. 1146–1155, 2014.
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Underwood S, Adams D, Koester D, Plumlee M and Zwink B, "Structural damage detection in a sandwich honeycomb composite rotor blade material using three-dimensional laser velocity measurements", In Annual Forum Proceedings-AHS International, pp. 2687–2696, 2009.
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other catagories
Plumlee M and Lam H, "An uncertainty quantification method for inexact simulation models", Technical report, , 2017.
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Plumlee M, "Fast methods for identifying high dimensional systems using observations", PhD thesis, Georgia Institute of Technology, 2015.
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