Curtis B. Storlie

According to our database, Curtis B. Storlie authored at least 30 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Bayesian Change Point Detection for Mixed Data with Missing Values.

Alexander C. Murph, Curtis B. Storlie

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia.

Gabriel Demuth, Curtis B. Storlie

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Sequential Optimization in Locally Important Dimensions.

Munir A. Winkel, Jonathan W. Stallrich, Curtis B. Storlie, Brian J. Reich

Technometrics, 2021

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, Jalal Soleimani, Vitaly Herasevich, Brian W. Pickering, Curtis B. Storlie

J. Am. Medical Informatics Assoc., 2021

2019

Deep learning and alternative learning strategies for retrospective real-world clinical data.

David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu

npj Digit. Medicine, 2019

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

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

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

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

Proceedings of the AMIA 2018, 2018

2017

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

Proceedings of the AMIA 2017, 2017

2016

Subroutine based detection of APT malware.

Joseph Sexton, Curtis B. Storlie, Blake Anderson

J. Comput. Virol. Hacking Tech., 2016

Power usage of production supercomputers and production workloads.

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

Concurr. Comput. Pract. Exp., 2016

2015

Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques.

Yimin Kao, Brian J. Reich, Curtis B. Storlie, Blake Anderson

Technometrics, 2015

Attack chain detection.

Joseph Sexton, Curtis B. Storlie, Joshua Neil

Stat. Anal. Data Min., 2015

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

Proceedings of the Constraint Programming and Decision Making, 2014

Study of MEPDG Sensitivity Using Nonparametric Regression Procedures.

Rafiqul A. Tarefder, Nasrin Sumee, Curtis B. Storlie

J. Comput. Civ. Eng., 2014

Automating Reverse Engineering with Machine Learning Techniques.

Blake Anderson, Curtis B. Storlie, Micah Yates, Aaron McPhall

Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

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

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

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

2012

Multiple Kernel Learning Clustering with an Application to Malware.

Blake Anderson, Curtis B. Storlie, Terran Lane

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improving malware classification: bridging the static/dynamic gap.

Blake Anderson, Curtis B. Storlie, Terran Lane

Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

2011

Graph-based malware detection using dynamic analysis.

Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane

J. Comput. Virol., 2011

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

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

2008

Multiple predictor smoothing methods for sensitivity analysis: Example results.

Curtis B. Storlie, Jon C. Helton

Reliab. Eng. Syst. Saf., 2008

Multiple predictor smoothing methods for sensitivity analysis: Description of techniques.

Curtis B. Storlie, Jon C. Helton

Reliab. Eng. Syst. Saf., 2008

2006

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

2005

Multiple predictor smoothing methods for sensitivity analysis.

Curtis B. Storlie, Jon C. Helton

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005