Jay M. Rosenberger

Orcid: 0000-0003-4038-1402

Affiliations:
  • University of Texas at Arlington, TX, USA


According to our database1, Jay M. Rosenberger authored at least 46 papers between 2000 and 2024.

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Bibliography

2024
A supervised learning tool for heatwave predictions using daily high summer temperatures.
Expert Syst. J. Knowl. Eng., October, 2024

Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning.
J. Chem. Inf. Model., 2024

A design and analysis of computer experiments based mixed integer linear programming approach for optimizing a system of electric vehicle charging stations.
Expert Syst. Appl., 2024

Design of experiments for the stochastic unit commitment with economic dispatch models.
EURO J. Comput. Optim., 2024

Evaluating the Impact of Smart Parking Systems on Parking Violations.
IEEE Access, 2024

Enhancing Urban Parking Efficiency Through Machine Learning Model Integration.
IEEE Access, 2024

2022
An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities.
IEEE Trans Autom. Sci. Eng., 2022

Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso.
IEEE Trans. Affect. Comput., 2022

A discrete-event simulation tool for airport deicing activities: Dallas-Fort Worth International Airport.
Simul., 2022

Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming.
Inf. Sci., 2022

High-dimensional black-box optimization under uncertainty.
Comput. Oper. Res., 2022

2021
Fast knot optimization for multivariate adaptive regression splines using hill climbing methods.
Expert Syst. Appl., 2021

Addressing state space multicollinearity in solving an ozone pollution dynamic control problem.
Eur. J. Oper. Res., 2021

2020
Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization.
Comput. Oper. Res., 2020

2019
An optimization-based traffic diversion model during construction closures.
Comput. Aided Civ. Infrastructure Eng., 2019

Linear Programming for Multi-Agent Demand Response.
IEEE Access, 2019

2018
Study of time-dependent queuing models of the national airspace system.
Comput. Ind. Eng., 2018

Unmanned aerial vehicle routing in the presence of threats.
Comput. Ind. Eng., 2018

Data-driven optimization for Dallas Fort Worth International Airport deicing activities.
Ann. Oper. Res., 2018

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.
Proceedings of the Brain Informatics - International Conference, 2018

2017
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination.
IEEE Trans. Big Data, 2017

Global optimization of non-convex piecewise linear regression splines.
J. Glob. Optim., 2017

Supervised Discriminative EEG Brain Source Imaging with Graph Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

EEG source imaging based on spatial and temporal graph structures.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain.
Proceedings of the Brain Informatics - International Conference, 2017

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Mixed integer linear programming approaches for land use planning that limit urban sprawl.
Comput. Ind. Eng., 2016

2015
Optimizing Load Control in a Collaborative Residential Microgrid Environment.
IEEE Trans. Smart Grid, 2015

Constraint Optimal Selection Techniques (COSTs) for nonnegative linear programming problems.
Appl. Math. Comput., 2015

A linear program for system level control of regional PHEV charging stations.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015

2014
Efficient computer experiment-based optimization through variable selection.
Ann. Oper. Res., 2014

Novel hybrid market price forecasting method with data clustering techniques for EV charging station application.
Proceedings of the 2014 IEEE Industry Application Society Annual Meeting, 2014

A Framework for Optimizing the Use of Systems Engineering on Proposals.
Proceedings of the Conference on Systems Engineering Research, 2014

2012
A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model.
Eur. J. Oper. Res., 2012

2011
Data mining modeling on the environmental impact of airport deicing activities.
Expert Syst. Appl., 2011

2010
A hybrid approach of goal programming for weapon systems selection.
Comput. Ind. Eng., 2010

2008
A Branch-and-Price-and-Cut Method for Ship Scheduling with Limited Risk.
Transp. Sci., 2008

Optimizing revenue in CDMA networks under demand uncertainty.
Eur. J. Oper. Res., 2008

Stochastic programming for nurse assignment.
Comput. Optim. Appl., 2008

Simulation of unit loading device inventory in airline operations.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2006
A data-integrated nurse activity simulation model.
Proceedings of the Winter Simulation Conference WSC 2006, 2006

2004
A Robust Fleet-Assignment Model with Hub Isolation and Short Cycles.
Transp. Sci., 2004

Simulation Modelling for a Bus Manitenance Facility.
Proceedings of the 36th conference on Winter simulation, 2004

2003
Rerouting Aircraft for Airline Recovery.
Transp. Sci., 2003

2002
A Stochastic Model of Airline Operations.
Transp. Sci., 2002

2000
Air transportation simulation: SimAir: a stochastic model of airline operations.
Proceedings of the 32nd conference on Winter simulation, 2000


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