Multiple predictor smoothing methods for sensitivity analysis. - Curtis B. Storlie; Jon C. Helton (WSC, 2005)

Survey of sampling-based methods for uncertainty and sensitivity analysis. - Jon C. Helton; Jay D. Johnson; Cédric J. Sallaberry; Curtis B. Storlie (Reliab. Eng. Syst. Saf., 2006)

Multiple predictor smoothing methods for sensitivity analysis: Description of techniques. - Curtis B. Storlie; Jon C. Helton (Reliab. Eng. Syst. Saf., 2008)

Multiple predictor smoothing methods for sensitivity analysis: Example results. - Curtis B. Storlie; Jon C. Helton (Reliab. Eng. Syst. Saf., 2008)

Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models. - Curtis B. Storlie; Laura Painton Swiler; Jon C. Helton; Cédric J. Sallaberry (Reliab. Eng. Syst. Saf., 2009)

Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes. - Brian J. Reich; Curtis B. Storlie; Howard D. Bondell (Technometrics, 2009)

Graph-based malware detection using dynamic analysis. - Blake Anderson; Daniel Quist; Joshua Neil; Curtis B. Storlie; Terran Lane (J. Comput. Virol., 2011)

Improving malware classification: bridging the static/dynamic gap. - Blake Anderson; Curtis B. Storlie; Terran Lane (AISec, 2012)

Multiple Kernel Learning Clustering with an Application to Malware. - Blake Anderson; Curtis B. Storlie; Terran Lane (ICDM, 2012)

Analysis of computationally demanding models with continuous and categorical inputs. - Curtis B. Storlie; Brian J. Reich; Jon C. Helton; Laura Painton Swiler; Cédric J. Sallaberry (Reliab. Eng. Syst. Saf., 2013)

Scan Statistics for the Online Detection of Locally Anomalous Subgraphs. - Joshua Neil; Curtis L. Hash Jr.; Alexander Brugh; Mike Fisk; Curtis B. Storlie (Technometrics, 2013)

Methods for Characterizing and Comparing Populations of Shock Wave Curves. - Curtis B. Storlie; Michael Fugate; David M. Higdon; Aparna V. Huzurbazar; Elizabeth G. Francois; Douglas C. McHugh (Technometrics, 2013)

Automating Reverse Engineering with Machine Learning Techniques. - Blake Anderson; Curtis B. Storlie; Micah Yates; Aaron McPhall (AISec@CCS, 2014)

Study of MEPDG Sensitivity Using Nonparametric Regression Procedures. - Rafiqul A. Tarefder; Nasrin Sumee; Curtis B. Storlie (J. Comput. Civ. Eng., 2014)

Surrogate Models for Mixed Discrete-Continuous Variables. - Laura Painton Swiler; Patricia D. Hough; Peter Z. G. Qian; Xu Xu; Curtis B. Storlie; Herbert Lee (Constraint Programming and Decision Making, 2014)

Attack chain detection. - Joseph Sexton; Curtis B. Storlie; Joshua Neil (Stat. Anal. Data Min., 2015)

Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. - Yimin Kao; Brian J. Reich; Curtis B. Storlie; Blake Anderson (Technometrics, 2015)

Power usage of production supercomputers and production workloads. - Scott Pakin; Curtis B. Storlie; Michael Lang 003; Robert E. Fields; Eloy E. Romero Jr.; Craig Idler; Sarah Michalak; Hugh Greenberg; Josip Loncaric; Randal Rheinheimer; Gary Grider; Joanne Wendelberger (Concurr. Comput. Pract. Exp., 2016)

Subroutine based detection of APT malware. - Joseph Sexton; Curtis B. Storlie; Blake Anderson (J. Comput. Virol. Hacking Tech., 2016)

Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering. - Che Ngufor; Matthew A. Warner; Dennis Murphree; Hongfang Liu; Rickey E. Carter; Curtis B. Storlie; Daryl J. Kor (AMIA, 2017)

Use of an early warning system with gradual alerting reduces time to therapy in acute inpatient deterioration. - Santiago Romero-Brufau; Jordan Kautz; Kim Gaines; Curt Storlie; Matthew G. Johnson; Joel Hickman; Jeanne Huddleston (AMIA, 2018)

Deploying Predictive Models In A Healthcare Environment - An Open Source Approach. - Dennis H. Murphree; Daniel J. Quest; Ryan M. Allen; Che Ngufor; Curtis B. Storlie (EMBC, 2018)

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes. - Dennis H. Murphree; Elaheh Arabmakki; Che Ngufor; Curtis B. Storlie; Rozalina G. McCoy (Comput. Biol. Medicine, 2018)

Functional regression-based monitoring of quality of service in hospital emergency departments. - Devashish Das; Kalyan S. Pasupathy; Curtis B. Storlie; Mustafa Y. Sir (IISE Trans., 2019)

Deep learning and alternative learning strategies for retrospective real-world clinical data. - David Chen 003; Sijia Liu 002; Paul R. Kingsbury; Sunghwan Sohn; Curtis B. Storlie; Elizabeth B. Habermann; James M. Naessens; David W. Larson; Hongfang Liu (npj Digit. Medicine, 2019)

Improving the delivery of palliative care through predictive modeling and healthcare informatics. - 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; et al. (J. Am. Medical Informatics Assoc., 2021)

Sequential Optimization in Locally Important Dimensions. - Munir A. Winkel; Jonathan W. Stallrich; Curtis B. Storlie; Brian J. Reich (Technometrics, 2021)

A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia. - Gabriel Demuth; Curtis B. Storlie (ICHI, 2022)

Bayesian Change Point Detection for Mixed Data with Missing Values. - Alexander C. Murph; Curtis B. Storlie (ICHI, 2022)

Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model. - Xiaoyang Ruan; Sunyang Fu; Curtis B. Storlie; Kellie L. Mathis; David W. Larson; Hongfang Liu (J. Biomed. Informatics, 2022)