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Arthur K. Kordon
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2020 – today
- 2020
- [b2]Arthur K. Kordon:
Applying Data Science - How to Create Value with Artificial Intelligence. Springer 2020, ISBN 978-3-030-36374-1, pp. 1-481 - [c19]Arthur K. Kordon:
Applied Artificial Intelligence-Based Systems as Competitive Advantage. IEEE Conf. on Intelligent Systems 2020: 6-18
2010 – 2019
- 2019
- [c18]Arthur K. Kordon, Theresa Kotanchek, Mark E. Kotanchek:
How Competitive Is Genetic Programming in Business Data Science Applications? GPTP 2019: 145-163 - 2016
- [e1]Rick L. Riolo, Bill Worzel, Mark E. Kotanchek, Arthur K. Kordon:
Genetic Programming Theory and Practice XIII [GPTP 2015]. Springer 2016, ISBN 978-3-319-34221-4 [contents] - 2015
- [c17]Sean Stijven, Ekaterina Vladislavleva, Arthur K. Kordon, Lander Willem, Mark E. Kotanchek:
Prime-Time: Symbolic Regression Takes Its Place in the Real World. GPTP 2015: 241-260 - 2013
- [c16]Arthur K. Kordon:
Applying Genetic Programming in Business Forecasting. GPTP 2013: 101-117 - 2012
- [c15]Arthur K. Kordon:
Applying intelligent systems in industry: A realistic overview. IEEE Conf. of Intelligent Systems 2012: 6-20 - 2010
- [b1]Arthur K. Kordon:
Applying Computational Intelligence - How to Create Value. Springer 2010, ISBN 978-3-540-69910-1, pp. I-XXII, 1-459 - [j3]Plamen Angelov, Arthur K. Kordon:
Adaptive Inferential Sensors Based on Evolving Fuzzy Models. IEEE Trans. Syst. Man Cybern. Part B 40(2): 529-539 (2010) - [c14]Arthur K. Kordon:
Marketing computational intelligence in industry. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2008
- [c13]Plamen Angelov, Arthur K. Kordon, Xiaowei Zhou:
Evolving fuzzy inferential sensors for process industry. GEFS 2008: 41-46 - [p1]Arthur K. Kordon:
Evolutionary Computation in the Chemical Industry. Evolutionary Computation in Practice 2008: 245-262 - 2007
- [c12]Arthur K. Kordon, Guido Smits, Mark E. Kotanchek:
Industrial evolutionary computing. GECCO (Companion) 2007: 3297-3322 - 2006
- [c11]Arthur K. Kordon, Guido Smits, Elsa M. Jordaan, Alex N. Kalos, Flor A. Castillo, Leo H. Chiang:
Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications. IEEE Congress on Evolutionary Computation 2006: 3106-3113 - [c10]Arthur K. Kordon:
Future Trends in Soft Computing Industrial Applications. FUZZ-IEEE 2006: 1663-1670 - [c9]Flor A. Castillo, Arthur K. Kordon, Guido Smits, Ben Christenson, Dee Dickerson:
Pareto front genetic programming parameter selection based on design of experiments and industrial data. GECCO 2006: 1613-1620 - 2005
- [c8]Arthur K. Kordon, Alex N. Kalos, Flor A. Castillo, Elsa M. Jordaan, Guido Smits, Mark E. Kotanchek:
Competitive advantages of evolutionary computation for industrial applications. Congress on Evolutionary Computation 2005: 166-173 - 2004
- [j2]Leo H. Chiang, Mark E. Kotanchek, Arthur K. Kordon:
Fault diagnosis based on Fisher discriminant analysis and support vector machines. Comput. Chem. Eng. 28(8): 1389-1401 (2004) - [j1]Arthur K. Kordon:
Hybrid intelligent systems for industrial data analysis. Int. J. Intell. Syst. 19(4): 367-383 (2004) - [c7]Arthur K. Kordon, Ching-Tai Lue:
Symbolic regression modeling of blown film process effects. IEEE Congress on Evolutionary Computation 2004: 561-568 - [c6]Arthur K. Kordon, Elsa M. Jordaan, Lawrence Chew, Guido Smits, Torben Bruck, Keith Haney, Annika Jenings:
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming. GECCO (2) 2004: 1078-1089 - [c5]Elsa M. Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits:
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. PPSN 2004: 522-531 - 2003
- [c4]Alex N. Kalos, Arthur K. Kordon, Guido Smits, Sofka Werkmeister:
Hybrid model development methodology for industrial soft sensors. ACC 2003: 5417-5422 - [c3]Flor A. Castillo, Ken A. Marshall, James L. Green, Arthur K. Kordon:
A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building. GECCO 2003: 1975-1985 - 2002
- [c2]Arthur K. Kordon, Guido Smits, Elsa M. Jordaan, Ed Rightor:
Robust soft sensors based on integration of genetic programming, analytical neural networks, and support vector machines. IEEE Congress on Evolutionary Computation 2002: 896-901 - [c1]Flor A. Castillo, Ken A. Marshall, James L. Green, Arthur K. Kordon:
Symbolic Regression In Design Of Experiments: A Case Study With Linearizing Transformations. GECCO 2002: 1043-1047
Coauthor Index
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