Genetic Programming Bibliography entries for Greg Easson

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GP coauthors/coeditors: Henrique G Momm, Dawn Wilkins, Joel S Kuszmaul,

Genetic Programming Articles by Greg Easson

• Henrique G. Momm and Greg Easson. Evolving spectral transformations for multitemporal information extraction using evolutionary computation. Journal of Applied Remote Sensing, 5:053564, 2011. details

• H. G. Momm and Greg Easson and Joel Kuszmaul. Evaluation of the use of spectral and textural information by an evolutionary algorithm for multi-spectral imagery classification. Computers, Environment and Urban Systems, 33(6):463-471, 2009. Spatial Data Mining-Methods and Applications. details

Genetic Programming conference papers by Greg Easson

1. Henrique G. Momm and Greg Easson. Population restarting: a study case of feature extraction from remotely sensed imagery using textural information. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 973-974, Portland, Oregon, USA, 2010. ACM. details

2. Henrique G Momm and Greg Easson and Joel Kuszmaul. Uncertainty analysis of an evolutionary algorithm to develop remote sensing spectral indices. In Jaakko T. Astola and Karen O. Egiazarian and Edward R. Dougherty editors, Image Processing: Algorithms and Systems VI, volume 6812, pages 68120A.1-68120A.9, San Jose, California, USA, 2008. SPIE--The International Society for Optical Engineering. details

3. Henrique Momm and Greg Easson. Assessment of a Non-linear Optimization Algorithm for Imagery Classification. In Journal of the Mississippi Academy of Sciences, volume 53, page 96, 2008. Seventy second annual meeting of the Mississippi Academy of Sciences, Whispering Woods, MS, USA, 20-22 February 2008. details

4. Henrique G. Momm and Joel S. Kuszmaul and Greg Easson. Integration of Logistic Regression and Genetic Programming to Model Coastal Louisiana Land Loss Using Remote Sensing. In Gary Florence editor, Proceedings of the ASPRS 2007 Annual Conference, Tampa, Florida, USA, 2007. details

5. Henrique Momm and Greg Easson and Dawn Wilkins. Genetic Programming as a Preprocessing Tool to Aid Multi-Temporal Imagery Classification. In Alan Mikuni and George Hepner editors, Proceedings of the ASPRS 2006 Annual Conference, Reno, Nevada, USA, 2006. details