Publications

Sequential Bayesian experimental design for calibration of expensive simulation models
Özge Sürer, Matthew Plumlee, Stefan M. Wild.
Technometrics (2023)

Discovering interpretable structure in longitudinal predictors via coefficient trees
Özge Sürer, Daniel W. Apley, Edward C. Malthouse.
Advances in Data Analysis and Classification (2023)

Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Dananjaya Liyanage, Özge Sürer, Matthew Plumlee, Stefan M. Wild, Ulrich Heinz.
Physical Review C (2023)

Uncertainty quantification in breakup reactions
Özge Sürer, Filomena M. Nunes, Matthew Plumlee, Stefan M. Wild.
Physical Review C (2022)

Coefficient tree regression: fast, accurate and interpretable predictive modeling
Özge Sürer, Daniel W. Apley, Edward C. Malthouse.
Machine Learning (2021)

Coefficient tree regression for generalized linear models
Özge Sürer, Daniel W. Apley, Edward C. Malthouse.
Statistical Analysis and Data Mining (2021)

Design of COVID-19 staged alert systems to ensure healthcare capacity with minimal closures
Haoxiang Yang, Özge Sürer, Daniel Duque, David Morton, Bismark Singh, Spencer Fox, Remy Pasco, Kelly Pierce, Paul Rathouz, Zhanwei Du, Michael Pignone, Mark E. Escott, Stephen I. Adler, Clairborne Johnston, Lauren Ancel Meyers.
Nature Communications (2021)

Calibration using emulation of filtered simulation results
Özge Sürer, Matthew Plumlee.
Proceedings of Winter Simulation Conference (WSC) (2021)

Multistakeholder recommendation with provider constraints
Özge Sürer, Robin Burke, Edward C. Malthouse.
Proceedings of the 12th ACM Conference on Recommender Systems (2018)

Designing sustainable energy regions using genetic algorithms and location-allocation approach
Seda Yanik, Özge Sürer, Basar Oztaysi.
Energy (2016)