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ORCIDJay M. Rosenberger
Person information
- affiliation: University of Texas at Arlington, TX, USA
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2020 – today
- 2024
[j34]Sai Sneha Channamallu, Sharareh Kermanshachi
, Jay M. Rosenberger, Apurva Pamidimukkala:
Enhancing Urban Parking Efficiency Through Machine Learning Model Integration. IEEE Access 12: 81338-81347 (2024)- [j33]Atusa Javaheri, Sai Sneha Channamallu, Sharareh Kermanshachi, Jay M. Rosenberger, Apurva Pamidimukkala, Chen Kan, Greg Hladik:
Evaluating the Impact of Smart Parking Systems on Parking Violations. IEEE Access 12: 175585-175596 (2024) - [j32]Nahal Sakhavand, Jay M. Rosenberger, Victoria C. P. Chen, Harsha Gangammanavar:
Design of experiments for the stochastic unit commitment with economic dispatch models. EURO J. Comput. Optim. 12: 100089 (2024) - [j31]Gazi Md Daud Iqbal, Jay M. Rosenberger, Matthew Rosenberger, Muhammad Shah Alam, Lidan Ha, Emmanuel Anoruo, Sadie Gregory, Tom Mazzone:
A supervised learning tool for heatwave predictions using daily high summer temperatures. Expert Syst. J. Knowl. Eng. 41(10) (2024) - [j30]Ukesh Chawal, Jay M. Rosenberger, Victoria C. P. Chen, Wei-Jen Lee, Mewan Wijemanne, Raghavendra Kumar Punugu, Asama Kulvanitchaiyanunt:
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. 245: 123064 (2024) - [j29]Linh Ho Manh, Victoria C. P. Chen, Jay M. Rosenberger, Shouyi Wang, Yujing Yang, Kevin A. Schug:
Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning. J. Chem. Inf. Model. 64(14): 5547-5556 (2024) - 2022
- [j28]Hadis Anahideh, Jay M. Rosenberger, Victoria C. P. Chen:
High-dimensional black-box optimization under uncertainty. Comput. Oper. Res. 137: 105444 (2022) - [j27]Xinglong Ju, Jay M. Rosenberger, Victoria C. P. Chen, Feng Liu:
Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming. Inf. Sci. 597: 38-52 (2022) - [j26]Hui-Chiao Jen, Brian L. Huff, Aera K. Leboulluec, Bahareh Nasirian, Seoung Bum Kim, Jay M. Rosenberger, Victoria C. P. Chen:
A discrete-event simulation tool for airport deicing activities: Dallas-Fort Worth International Airport. Simul. 98(12): 1097-1114 (2022) - [j25]Kin Ming Puk, Shouyi Wang, Jay M. Rosenberger, Kellen C. Gandy, Haley Nicole Harris, Yuan Bo Peng, Anne Nordberg, Peter Lehmann, Jodi Tommerdahl, Jung-Chih Chiao:
Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso. IEEE Trans. Affect. Comput. 13(1): 199-210 (2022) - [j24]Victoria C. P. Chen, Yuan Zhou, Alireza Fallahi, Amith Viswanatha, Jingmei Yang, Feng Liu, Nilabh S. Ohol, Yasaman Ghasemi, Ashkan Aliabadi Farahani, Jay M. Rosenberger, Jeffrey B. Guild:
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. 19(2): 586-602 (2022) - 2021
- [j23]Bancha Ariyajunya, Ying Chen, Victoria C. P. Chen, Seoung Bum Kim, Jay M. Rosenberger:
Addressing state space multicollinearity in solving an ozone pollution dynamic control problem. Eur. J. Oper. Res. 289(2): 683-695 (2021) - [j22]Xinglong Ju, Victoria C. P. Chen, Jay M. Rosenberger, Feng Liu:
Fast knot optimization for multivariate adaptive regression splines using hill climbing methods. Expert Syst. Appl. 171: 114565 (2021) - 2020
- [j21]Ying Chen, Feng Liu, Jay M. Rosenberger, Victoria C. P. Chen, Asama Kulvanitchaiyanunt, Yuan Zhou:
Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization. Comput. Oper. Res. 124: 105032 (2020)
2010 – 2019
- 2019
- [j20]Alireza Fallahi, Jay M. Rosenberger, Victoria C. P. Chen, Wei-Jen Lee, Shouyi Wang:
Linear Programming for Multi-Agent Demand Response. IEEE Access 7: 181479-181490 (2019) - [j19]Arezoo Memarian, Jay M. Rosenberger, Stephen P. Mattingly, James C. Williams, Hossein Hashemi:
An optimization-based traffic diversion model during construction closures. Comput. Aided Civ. Infrastructure Eng. 34(12): 1087-1099 (2019) - 2018
- [j18]Huiyuan Fan, Prashant K. Tarun, Victoria C. P. Chen, Dachuan T. Shih, Jay M. Rosenberger, Seoung Bum Kim, Robert A. Horton:
Data-driven optimization for Dallas Fort Worth International Airport deicing activities. Ann. Oper. Res. 263(1-2): 361-384 (2018) - [j17]Kamil A. Alotaibi, Jay M. Rosenberger, Stephen P. Mattingly, Raghavendra Kumar Punugu, Siriwat Visoldilokpun:
Unmanned aerial vehicle routing in the presence of threats. Comput. Ind. Eng. 115: 190-205 (2018) - [j16]Na Wang, Chatabush Roongrat, Jay M. Rosenberger, Padmanabhan K. Menon, Kamesh Subbarao, Prasenjit Sengupta, Monish D. Tandale:
Study of time-dependent queuing models of the national airspace system. Comput. Ind. Eng. 117: 108-120 (2018) - [c12]Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger:
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. BI 2018: 304-316 - 2017
- [j15]Nadia Martinez, Hadis Anahideh, Jay M. Rosenberger, Diana Martinez, Victoria C. P. Chen, Bo Ping Wang:
Global optimization of non-convex piecewise linear regression splines. J. Glob. Optim. 68(3): 563-586 (2017) - [j14]Feng Liu, Jay M. Rosenberger, Yifei Lou, Rahilsadat Hosseini, Jianzhong Su, Shouyi Wang:
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination. IEEE Trans. Big Data 3(4): 378-391 (2017) - [c11]Feng Liu, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su, Hanli Liu:
A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. AAAI 2017: 1431-1437 - [c10]Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su:
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. BI 2017: 59-71 - [c9]Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger:
EEG source imaging based on spatial and temporal graph structures. IPTA 2017: 1-6 - [c8]Feng Liu, Rahilsadat Hosseini, Jay M. Rosenberger, Shouyi Wang, Jianzhong Su:
Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. MICCAI (1) 2017: 495-504 - 2016
- [j13]Piyush Kumar, Jay M. Rosenberger, Gazi Md Daud Iqbal:
Mixed integer linear programming approaches for land use planning that limit urban sprawl. Comput. Ind. Eng. 102: 33-43 (2016) - 2015
- [j12]Goh Saito, Herbert W. Corley, Jay M. Rosenberger, Tai-Kuan Sung, Alireza Noroziroshan:
Constraint Optimal Selection Techniques (COSTs) for nonnegative linear programming problems. Appl. Math. Comput. 251: 586-598 (2015) - [j11]Majid Ahmadi, Jay M. Rosenberger, Wei-Jen Lee, Asama Kulvanitchaiyanunt:
Optimizing Load Control in a Collaborative Residential Microgrid Environment. IEEE Trans. Smart Grid 6(3): 1196-1207 (2015) - [c7]Asama Kulvanitchaiyanunt, Victoria C. P. Chen, Jay M. Rosenberger, Piampoom Sarikprueck, Wei-Jen Lee:
A linear program for system level control of regional PHEV charging stations. IAS 2015: 1-8 - 2014
- [j10]Dachuan T. Shih, Seoung Bum Kim, Victoria C. P. Chen, Jay M. Rosenberger, Venkata L. Pilla:
Efficient computer experiment-based optimization through variable selection. Ann. Oper. Res. 216(1): 287-305 (2014) - [c6]Clement Smartt, Susan Ferreira, Jay M. Rosenberger, Herbert W. Corley:
A Framework for Optimizing the Use of Systems Engineering on Proposals. CSER 2014: 120-129 - [c5]Piampoom Sarikprueck, Wei-Jen Lee, Asama Kulvanitchaiyanunt, Victoria C. P. Chen, Jay M. Rosenberger:
Novel hybrid market price forecasting method with data clustering techniques for EV charging station application. IAS 2014: 1-9 - 2012
- [j9]Venkata L. Pilla, Jay M. Rosenberger, Victoria C. P. Chen, Narakorn Engsuwan, Sheela Siddappa:
A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model. Eur. J. Oper. Res. 216(1): 162-171 (2012) - 2011
- [j8]Huiyuan Fan, Prashant K. Tarun, Dachuan T. Shih, Seoung Bum Kim, Victoria C. P. Chen, Jay M. Rosenberger, Dan Bergman:
Data mining modeling on the environmental impact of airport deicing activities. Expert Syst. Appl. 38(12): 14899-14906 (2011) - 2010
- [j7]Jaewook Lee, Suk-Ho Kang, Jay M. Rosenberger, Seoung Bum Kim:
A hybrid approach of goal programming for weapon systems selection. Comput. Ind. Eng. 58(3): 521-527 (2010)
2000 – 2009
- 2008
- [j6]Prattana Punnakitikashem, Jay M. Rosenberger, Deborah F. Buckley-Behan:
Stochastic programming for nurse assignment. Comput. Optim. Appl. 40(3): 321-349 (2008) - [j5]Eli V. Olinick, Jay M. Rosenberger:
Optimizing revenue in CDMA networks under demand uncertainty. Eur. J. Oper. Res. 186(2): 812-825 (2008) - [j4]Hee-Su Hwang, Siriwat Visoldilokpun, Jay M. Rosenberger:
A Branch-and-Price-and-Cut Method for Ship Scheduling with Limited Risk. Transp. Sci. 42(3): 336-351 (2008) - [c4]Chatabush Roongrat, Jay M. Rosenberger, Brian Huff:
Simulation of unit loading device inventory in airline operations. WSC 2008: 2668-2672 - 2006
- [c3]Durai Sundaramoorthi, Victoria C. P. Chen, Seoung Bum Kim, Jay M. Rosenberger, Deborah F. Buckley-Behan:
A data-integrated nurse activity simulation model. WSC 2006: 960-966 - 2004
- [j3]Jay M. Rosenberger, Ellis L. Johnson, George L. Nemhauser:
A Robust Fleet-Assignment Model with Hub Isolation and Short Cycles. Transp. Sci. 38(3): 357-368 (2004) - [c2]Manivannan Ramadass, Jay M. Rosenberger, Brian Huff, Stephanie Gonterman, Rajesh N. Subramanian:
Simulation Modelling for a Bus Manitenance Facility. WSC 2004: 1222-1225 - 2003
- [j2]Jay M. Rosenberger, Ellis L. Johnson, George L. Nemhauser:
Rerouting Aircraft for Airline Recovery. Transp. Sci. 37(4): 408-421 (2003) - 2002
- [j1]Jay M. Rosenberger, Andrew J. Schaefer, David Goldsman, Ellis L. Johnson, Anton J. Kleywegt, George L. Nemhauser:
A Stochastic Model of Airline Operations. Transp. Sci. 36(4): 357-377 (2002) - 2000
- [c1]Jay M. Rosenberger, Andrew J. Schaefer, David Goldsman, Ellis L. Johnson, Anton J. Kleywegt, George L. Nemhauser:
Air transportation simulation: SimAir: a stochastic model of airline operations. WSC 2000: 1118-1122
Coauthor Index
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