Genetic Programming Bibliography entries for Pei Fang Guo 
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GP coauthors/coeditors: 
Prabir Bhattacharya,
Nawwaf Kharma,
Genetic Programming Articles by Pei Fang Guo
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  Peifang Guo and  Prabir Bhattacharya.
Detection of protein conformation defects from                 fluorescence microscopy images.
Engineering Applications of Artificial Intelligence, 26(8):1936-1941, 2013.
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Genetic Programming PhD doctoral thesis Pei Fang Guo
Genetic Programming conference papers by Pei Fang Guo
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  Pei-Fang Guo and  Prabir Bhattacharya and                  Nawwaf Kharma.
Automated synthesis of feature functions for pattern                 detection. In
23rd Canadian Conference on Electrical and Computer                 Engineering (CCECE), 2010, 2010.
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  Pei-Fang Guo and  Prabir Bhattacharya and                  Nawwaf Kharma.
An efficient image pattern recognition system using an                 evolutionary search strategy. In
IEEE International Conference on Systems, Man and                 Cybernetics, SMC 2009, pages 599-604, San Antonio, Texas, USA, 2009. IEEE.
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  Pei Fang Guo and  Prabir Bhattacharya.
An evolutionary approach to feature function                 generation in application to biomedical image                 patterns. In
 Guenther Raidl and  Franz Rothlauf and                  Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and                  Mauro Birattari and Clare Bates Congdon and                  Martin Middendorf and Christian Blum and Carlos Cotta and                  Peter Bosman and Joern Grahl and Joshua Knowles and                  David Corne and Hans-Georg Beyer and Ken Stanley and                  Julian F. Miller and Jano van Hemert and                  Tom Lenaerts and Marc Ebner and Jaume Bacardit and                  Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and                  Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference                 on Genetic and evolutionary computation, pages 1883-1884, Montreal, 2009. ACM.
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