Curtis B. Storlie

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 14

Top Topics

Nonparametric Bayesian

Predictive Model

Machine Learning

Top Venues

Stat. Anal. Data Min.

Publications

Alexander C. Murph, Curtis B. Storlie
Bayesian Change Point Detection for Mixed Data with Missing Values. ICHI (2022)
Gabriel Demuth, Curtis B. Storlie
A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia. ICHI (2022)
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 (2022)
Munir A. Winkel, Jonathan W. Stallrich, Curtis B. Storlie, Brian J. Reich
Sequential Optimization in Locally Important Dimensions. Technometrics 63 (2) (2021)
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) (2021)
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) (2019)
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)
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)
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 (2018)
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)
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) (2016)
Joseph Sexton, Curtis B. Storlie, Blake Anderson
Subroutine based detection of APT malware. J. Comput. Virol. Hacking Tech. 12 (4) (2016)
Yimin Kao, Brian J. Reich, Curtis B. Storlie, Blake Anderson
Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques. Technometrics 57 (4) (2015)
Joseph Sexton, Curtis B. Storlie, Joshua Neil
Attack chain detection. Stat. Anal. Data Min. 8 (5-6) (2015)
Blake Anderson, Curtis B. Storlie, Micah Yates, Aaron McPhall
Automating Reverse Engineering with Machine Learning Techniques. AISec@CCS (2014)
Rafiqul A. Tarefder, Nasrin Sumee, Curtis B. Storlie
Study of MEPDG Sensitivity Using Nonparametric Regression Procedures. J. Comput. Civ. Eng. 28 (1) (2014)
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) (2013)
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) (2013)
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 (2013)
Blake Anderson, Curtis B. Storlie, Terran Lane
Improving malware classification: bridging the static/dynamic gap. AISec (2012)
Blake Anderson, Curtis B. Storlie, Terran Lane
Multiple Kernel Learning Clustering with an Application to Malware. ICDM (2012)
Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane
Graph-based malware detection using dynamic analysis. J. Comput. Virol. 7 (4) (2011)
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) (2009)
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) (2009)
Curtis B. Storlie, Jon C. Helton
Multiple predictor smoothing methods for sensitivity analysis: Description of techniques. Reliab. Eng. Syst. Saf. 93 (1) (2008)
Curtis B. Storlie, Jon C. Helton
Multiple predictor smoothing methods for sensitivity analysis: Example results. Reliab. Eng. Syst. Saf. 93 (1) (2008)
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) (2006)
Curtis B. Storlie, Jon C. Helton
Multiple predictor smoothing methods for sensitivity analysis. WSC (2005)