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ORCIDCurtis B. Storlie
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- affiliation: Los Alamos National Laboratory, USA
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2020 – today
- 2022
[j20]Xiaoyang Ruan, Sunyang Fu, Curtis B. Storlie, Kellie L. Mathis, David W. Larson, Hongfang Liu:
Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model. J. Biomed. Informatics 135: 104202 (2022)- [c9]Gabriel Demuth, Curtis B. Storlie:
A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia. ICHI 2022: 1-3 - [c8]Alexander C. Murph, Curtis B. Storlie:
Bayesian Change Point Detection for Mixed Data with Missing Values. ICHI 2022: 499-501 - 2021
- [j19]Dennis H. Murphree
, Patrick M. Wilson, Shusaku W. Asai, Daniel J. Quest, Yaxiong Lin, Piyush Mukherjee, Nirmal Chhugani, Jacob J. Strand, Gabriel Demuth, David Mead, Brian Wright, Andrew M. Harrison, Jalal Soleimani, Vitaly Herasevich, Brian W. Pickering, Curtis B. Storlie:
Improving the delivery of palliative care through predictive modeling and healthcare informatics. J. Am. Medical Informatics Assoc. 28(6): 1065-1073 (2021) - [j18]Munir A. Winkel, Jonathan W. Stallrich, Curtis B. Storlie, Brian J. Reich:
Sequential Optimization in Locally Important Dimensions. Technometrics 63(2): 236-248 (2021)
2010 – 2019
- 2019
- [j17]Devashish Das, Kalyan S. Pasupathy, Curtis B. Storlie, Mustafa Y. Sir:
Functional regression-based monitoring of quality of service in hospital emergency departments. IISE Trans. 51(9): 1012-1024 (2019) - [j16]David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu:
Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine 2 (2019) - 2018
- [j15]Dennis H. Murphree, Elaheh Arabmakki, Che Ngufor, Curtis B. Storlie, Rozalina G. McCoy:
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. Comput. Biol. Medicine 103: 109-115 (2018) - [c7]Santiago Romero-Brufau, Jordan Kautz, Kim Gaines, Curt Storlie, Matthew G. Johnson, Joel Hickman, Jeanne Huddleston:
Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration. AMIA 2018 - [c6]Dennis H. Murphree, Daniel J. Quest, Ryan M. Allen, Che Ngufor, Curtis B. Storlie:
Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. EMBC 2018: 6112-6116 - 2017
- [c5]Che Ngufor, Matthew A. Warner, Dennis Murphree, Hongfang Liu, Rickey E. Carter, Curtis B. Storlie, Daryl J. Kor:
Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. AMIA 2017 - 2016
- [j14]Scott Pakin, Curtis B. Storlie, Michael Lang, Robert E. Fields, Eloy E. Romero Jr., Craig Idler, Sarah Michalak, Hugh Greenberg, Josip Loncaric, Randal Rheinheimer, Gary Grider, Joanne Wendelberger:
Power usage of production supercomputers and production workloads. Concurr. Comput. Pract. Exp. 28(2): 274-290 (2016) - [j13]Joseph Sexton, Curtis B. Storlie, Blake Anderson:
Subroutine based detection of APT malware. J. Comput. Virol. Hacking Tech. 12(4): 225-233 (2016) - 2015
- [j12]Joseph Sexton, Curtis B. Storlie, Joshua Neil:
Attack chain detection. Stat. Anal. Data Min. 8(5-6): 353-363 (2015) - [j11]Yimin Kao, Brian J. Reich, Curtis B. Storlie, Blake Anderson:
Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. Technometrics 57(4): 535-546 (2015) - 2014
- [j10]Rafiqul A. Tarefder, Nasrin Sumee, Curtis B. Storlie:
Study of MEPDG Sensitivity Using Nonparametric Regression Procedures. J. Comput. Civ. Eng. 28(1): 134-144 (2014) - [c4]Blake Anderson, Curtis B. Storlie, Micah Yates, Aaron McPhall:
Automating Reverse Engineering with Machine Learning Techniques. AISec@CCS 2014: 103-112 - [p1]Laura Painton Swiler, Patricia D. Hough, Peter Z. G. Qian, Xu Xu, Curtis B. Storlie, Herbert Lee:
Surrogate Models for Mixed Discrete-Continuous Variables. Constraint Programming and Decision Making 2014: 181-202 - 2013
- [j9]Curtis B. Storlie, Brian J. Reich, Jon C. Helton, Laura Painton Swiler, Cédric J. Sallaberry:
Analysis of computationally demanding models with continuous and categorical inputs. Reliab. Eng. Syst. Saf. 113: 30-41 (2013) - [j8]Joshua Neil, Curtis L. Hash Jr., Alexander Brugh, Mike Fisk, Curtis B. Storlie:
Scan Statistics for the Online Detection of Locally Anomalous Subgraphs. Technometrics 55(4): 403-414 (2013) - [j7]Curtis B. Storlie, Michael Fugate, David M. Higdon, Aparna V. Huzurbazar, Elizabeth G. Francois, Douglas C. McHugh:
Methods for Characterizing and Comparing Populations of Shock Wave Curves. Technometrics 55(4): 436-449 (2013) - 2012
- [c3]Blake Anderson, Curtis B. Storlie, Terran Lane:
Improving malware classification: bridging the static/dynamic gap. AISec 2012: 3-14 - [c2]Blake Anderson, Curtis B. Storlie, Terran Lane:
Multiple Kernel Learning Clustering with an Application to Malware. ICDM 2012: 804-809 - 2011
- [j6]Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane:
Graph-based malware detection using dynamic analysis. J. Comput. Virol. 7(4): 247-258 (2011)
2000 – 2009
- 2009
- [j5]Curtis B. Storlie, Laura Painton Swiler, Jon C. Helton, Cédric J. Sallaberry:
Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models. Reliab. Eng. Syst. Saf. 94(11): 1735-1763 (2009) - [j4]Brian J. Reich, Curtis B. Storlie, Howard D. Bondell:
Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. Technometrics 51(2): 110-120 (2009) - 2008
- [j3]Curtis B. Storlie, Jon C. Helton:
Multiple predictor smoothing methods for sensitivity analysis: Description of techniques. Reliab. Eng. Syst. Saf. 93(1): 28-54 (2008) - [j2]Curtis B. Storlie, Jon C. Helton:
Multiple predictor smoothing methods for sensitivity analysis: Example results. Reliab. Eng. Syst. Saf. 93(1): 55-77 (2008) - 2006
- [j1]Jon C. Helton, Jay D. Johnson, Cédric J. Sallaberry, Curtis B. Storlie:
Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliab. Eng. Syst. Saf. 91(10-11): 1175-1209 (2006) - 2005
- [c1]Curtis B. Storlie, Jon C. Helton:
Multiple predictor smoothing methods for sensitivity analysis. WSC 2005: 231-239
Coauthor Index
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