Victoria C. P. Chen

Orcid: 0000-0002-0033-7864

According to our database1, Victoria C. P. Chen authored at least 39 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data science and decision analytics.
Ann. Oper. Res., 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

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

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

Preface: Data mining and decision analytics.
Ann. 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
Linear Programming for Multi-Agent Demand Response.
IEEE Access, 2019

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

Preface: Data mining and analytics.
Ann. Oper. Res., 2018

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

Data mining for state space orthogonalization in adaptive dynamic programming.
Expert Syst. Appl., 2017

2015
A convex version of multivariate adaptive regression splines.
Comput. Stat. Data Anal., 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
A Density-focused Support Vector Data Description Method.
Qual. Reliab. Eng. Int., 2014

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

Preface: Special volume on data mining and informatics.
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

2013
Principal component analysis-based control charts for multivariate nonnormal distributions.
Expert Syst. Appl., 2013

Adaptive value function approximation for continuous-state stochastic dynamic programming.
Comput. Oper. Res., 2013

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

Bootstrap-Based <i>T</i><sup>2</sup> Multivariate Control Charts.
Commun. Stat. Simul. Comput., 2011

2010
Nonparametric multivariate control charts based on a linkage ranking algorithm.
Qual. Reliab. Eng. Int., 2010

Special volume on <i>Data Mining</i>.
Ann. Oper. Res., 2010

2009
Spatio-Temporal Data Mining for Air Pollution Problems.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Decision-Making Framework for Ozone Pollution Control.
Oper. Res., 2009

2008
Controlling the False Discovery Rate for Feature Selection in High-resolution NMR Spectra.
Stat. Anal. Data Min., 2008

2007
Neural network and regression spline value function approximations for stochastic dynamic programming.
Comput. Oper. Res., 2007

2006
Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization.
Eur. J. Oper. Res., 2006

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

2004
Stochastic Dynamic Programming Formulation for a Wastewater Treatment Decision-Making Framework.
Ann. Oper. Res., 2004

2002
Measuring the Goodness of Orthogonal Array Discretizations for Stochastic Programming and Stochastic Dynamic Programming.
SIAM J. Optim., 2002

1999
Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming.
Oper. Res., 1999


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