Robust soft sensors based on integration of genetic programming, analytical neural networks, and support vector machines. - Arthur K. Kordon; Guido Smits; Elsa M. Jordaan; Ed Rightor (IEEE Congress on Evolutionary Computation, 2002)

Symbolic Regression In Design Of Experiments: A Case Study With Linearizing Transformations. - Flor A. Castillo; Ken A. Marshall; James L. Green; Arthur K. Kordon (GECCO, 2002)

Hybrid model development methodology for industrial soft sensors. - Alex N. Kalos; Arthur K. Kordon; Guido Smits; Sofka Werkmeister (ACC, 2003)

A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building. - Flor A. Castillo; Ken A. Marshall; James L. Green; Arthur K. Kordon (GECCO, 2003)

Symbolic regression modeling of blown film process effects. - Arthur K. Kordon; Ching-Tai Lue (IEEE Congress on Evolutionary Computation, 2004)

Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming. - Arthur K. Kordon; Elsa M. Jordaan; Lawrence Chew; Guido Smits; Torben Bruck; Keith Haney; Annika Jenings (GECCO (2), 2004)

Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. - Elsa M. Jordaan; Arthur K. Kordon; Leo H. Chiang; Guido Smits (PPSN, 2004)

Fault diagnosis based on Fisher discriminant analysis and support vector machines. - Leo H. Chiang; Mark E. Kotanchek; Arthur K. Kordon (Comput. Chem. Eng., 2004)

Hybrid intelligent systems for industrial data analysis. - Arthur K. Kordon (Int. J. Intell. Syst., 2004)

Competitive advantages of evolutionary computation for industrial applications. - Arthur K. Kordon; Alex N. Kalos; Flor A. Castillo; Elsa M. Jordaan; Guido Smits; Mark E. Kotanchek (Congress on Evolutionary Computation, 2005)

Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications. - Arthur K. Kordon; Guido Smits; Elsa M. Jordaan; Alex N. Kalos; Flor A. Castillo; Leo H. Chiang (IEEE Congress on Evolutionary Computation, 2006)

Future Trends in Soft Computing Industrial Applications. - Arthur K. Kordon (FUZZ-IEEE, 2006)

Pareto front genetic programming parameter selection based on design of experiments and industrial data. - Flor A. Castillo; Arthur K. Kordon; Guido Smits; Ben Christenson; Dee Dickerson (GECCO, 2006)

Industrial evolutionary computing. - Arthur K. Kordon; Guido Smits; Mark E. Kotanchek (GECCO (Companion), 2007)

Evolving fuzzy inferential sensors for process industry. - Plamen Angelov 001; Arthur K. Kordon; Xiaowei Zhou 002 (GEFS, 2008)

Evolutionary Computation in the Chemical Industry. - Arthur K. Kordon (Evolutionary Computation in Practice, 2008)

Applying Computational Intelligence - How to Create Value. - Arthur K. Kordon (Springer, 2010)

Marketing computational intelligence in industry. - Arthur K. Kordon (IEEE Congress on Evolutionary Computation, 2010)

Adaptive Inferential Sensors Based on Evolving Fuzzy Models. - Plamen Angelov 001; Arthur K. Kordon (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Applying intelligent systems in industry: A realistic overview. - Arthur K. Kordon (IEEE Conf. of Intelligent Systems, 2012)

Applying Genetic Programming in Business Forecasting. - Arthur K. Kordon (GPTP, 2013)

Prime-Time: Symbolic Regression Takes Its Place in the Real World. - Sean Stijven; Ekaterina Vladislavleva; Arthur K. Kordon; Lander Willem; Mark E. Kotanchek (GPTP, 2015)

How Competitive Is Genetic Programming in Business Data Science Applications? - Arthur K. Kordon; Theresa Kotanchek; Mark E. Kotanchek (GPTP, 2019)

Applying Data Science - How to Create Value with Artificial Intelligence - Arthur K. Kordon (Springer, 2020)

Applied Artificial Intelligence-Based Systems as Competitive Advantage. - Arthur K. Kordon (IEEE Conf. on Intelligent Systems, 2020)