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Feature selection for support vector machines using Generalized Benders Decomposition

European journal of operational research, 2015-07, Vol.244 (1), p.210-218

Aytug, Haldun

2015

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Executing production schedules in the face of uncertainties: A review and some future directions

European journal of operational research, 2005-02, Vol.161 (1), p.86-110

2005

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Mean throughput rate in restart-upon-failure systems subject to random disruptions

IIE transactions, 2022-06, Vol.54 (6), p.578-589

2022

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Business Analytics: Emerging Practice and Research Issues in the Health Insurance Industry

Production and operations management, 2024-02, Vol.33 (2), p.432-455

2024

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Detecting Management Fraud in Public Companies

Management science, 2010-07, Vol.56 (7), p.1146-1160

2010

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Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach

Journal of scheduling, 2006-02, Vol.9 (1), p.7-34

2006

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Making words work: Using financial text as a predictor of financial events

Decision Support Systems, 2010-12, Vol.50 (1), p.164-175

2010

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Comparison of imputation methods for discriminant analysis with strategically hidden data

European journal of operational research, 2016-12, Vol.255 (2), p.522-530

2016

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Using support vector machines to learn the efficient set in multiple objective discrete optimization

European journal of operational research, 2009-03, Vol.193 (2), p.510-519

2009

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Multi-objective optimization challenges in perioperative anesthesia: a review

Surgery, 2020-12, Vol.170 (1), p.320-324

2020

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Exploring the trade-off between generalization and empirical errors in a one-norm SVM

European journal of operational research, 2012-05, Vol.218 (3), p.667-675

2012

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Multiobjective optimization challenges in perioperative anesthesia: A review

Surgery, 2021-07, Vol.170 (1), p.320-324

2021

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Discriminant Analysis with Strategically Manipulated Data

Information systems research, 2014-09, Vol.25 (3), p.654

2014

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Teaching a Machine to Feel Postoperative Pain: Combining High‐Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain

Pain medicine (Malden, Mass.), 2015-07, Vol.16 (7), p.1386-1401

2015

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Markov chain evaluation of acute postoperative pain transition states

Pain (Amsterdam), 2016-03, Vol.157 (3), p.717-728

2016

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Research Note—Discriminant Analysis with Strategically Manipulated Data

Information systems research, 2014-09, Vol.25 (3), p.654-662

2014

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Stopping Criteria for Finite Length Genetic Algorithms

INFORMS journal on computing, 1996-05, Vol.8 (2), p.183-191

1996

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Accurate estimation of expected coverage: revisited

Socio-economic planning sciences, 2003-03, Vol.37 (1), p.69-80

2003

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Induction over Strategic Agents

Information systems research, 2010-03, Vol.21 (1), p.170-189

2010

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Solving large-scale maximum expected covering location problems by genetic algorithms: A comparative study

European journal of operational research, 2002-09, Vol.141 (3), p.480-494

2002

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A framework and a simulation generator for kanban-controlled manufacturing systems

Computers & industrial engineering, 1998-04, Vol.34 (2), p.337-350

1998

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Induction over strategic agents

Information systems research, 2010-03, Vol.21 (1), p.170

2010

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Of Rough Starts and Smooth Finishes: Correlations Between Post‐Anesthesia Care Unit and Postoperative Days 1–5 Pain Scores

Pain medicine (Malden, Mass.), 2014-02, Vol.15 (2), p.306-315

2014

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Induction over constrained strategic agents

European journal of operational research, 2010-06, Vol.203 (3), p.698-705

2010

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Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain: Forecasting Acute Postoperative Pain

Pain medicine (Malden, Mass.), 2015-07, Vol.16 (7), p.1386-1401

2015

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Feature selection for support vector machines using Generalized Benders Decomposition

Executing production schedules in the face of uncertainties: A review and some future directions

Mean throughput rate in restart-upon-failure systems subject to random disruptions

Business Analytics: Emerging Practice and Research Issues in the Health Insurance Industry

Detecting Management Fraud in Public Companies

Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach

Making words work: Using financial text as a predictor of financial events

Comparison of imputation methods for discriminant analysis with strategically hidden data

Using support vector machines to learn the efficient set in multiple objective discrete optimization

Multi-objective optimization challenges in perioperative anesthesia: a review

Exploring the trade-off between generalization and empirical errors in a one-norm SVM

Multiobjective optimization challenges in perioperative anesthesia: A review

Discriminant Analysis with Strategically Manipulated Data

Teaching a Machine to Feel Postoperative Pain: Combining High‐Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain

Markov chain evaluation of acute postoperative pain transition states

Research Note—Discriminant Analysis with Strategically Manipulated Data

Stopping Criteria for Finite Length Genetic Algorithms

Accurate estimation of expected coverage: revisited

Induction over Strategic Agents

Solving large-scale maximum expected covering location problems by genetic algorithms: A comparative study

A framework and a simulation generator for kanban-controlled manufacturing systems

Induction over strategic agents

Of Rough Starts and Smooth Finishes: Correlations Between Post‐Anesthesia Care Unit and Postoperative Days 1–5 Pain Scores

Induction over constrained strategic agents

Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain: Forecasting Acute Postoperative Pain

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