Genetic Programming Bibliography entries for Andy Song

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GP coauthors/coeditors: Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Brian Pinto, Qiao Shi, Thomas Loveard, Hugh Williams, Danny Fang, Dunhai Chen, Mengjie Zhang, Feng Xie,

Genetic Programming Articles by Andy Song

Genetic Programming PhD doctoral thesis Andy Song

Genetic Programming conference papers by Andy Song

  1. Andy Song and Feng Xie. Evolving automatic frame splitters. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 221-222, Dublin, Ireland, 2011. ACM. details

  2. Qiao Shi and Andy Song. Selective Motion Detection by Genetic Programming. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 496-503, New Orleans, USA, 2011. IEEE Press. details

  3. Andy Song and Brian Pinto. Study of GP representations for motion detection with unstable background. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  4. Andy Song and Dunhai Chen and Mengjie Zhang. Contribution based bloat control in Genetic Programming. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  5. Brian Pinto and Andy Song. Detecting motion from noisy scenes using Genetic Programming. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand, IVCNZ '09, pages 322-327, Wellington, 2009. IEEE. details

  6. Andy Song and Dunhai Chen and Mengjie Zhang. Bloat control in genetic programming by evaluating contribution of nodes. 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 1893-1894, Montreal, 2009. ACM. details

  7. Brian Pinto and Andy Song. Motion detection in complex environments by genetic programming. In Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO-2009 Late-Breaking Papers, pages 2125-2130, Montreal, 2009. ACM. details

  8. Brian Pinto and Andy Song. Learning Motion Detectors by Genetic Programming. In Ann E. Nicholson and Xiaodong Li editors, Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI'09), volume 5866, pages 160-169, Melbourne, Australia, 2009. Springer. details

  9. Andy Song and Danny Fang. Robust method of detecting moving objects in videos evolved by genetic programming. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1649-1656, Atlanta, GA, USA, 2008. ACM. details

  10. Andy Song. Fast Video Analysis by Genetic Programming. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 3237-3243, Hong Kong, 2008. IEEE Press. details

  11. Andy Song and Vic Ciesielski. Texture Analysis by Genetic Programming. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 2092-2099, Portland, Oregon, 2004. IEEE Press. details

  12. Yaniv Bernstein and Xiaodong Li and Vic Ciesielski and Andy Song. Multiobjective Parsimony Enforcement for Superior Generalisation Performance. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, pages 83-89, Portland, Oregon, 2004. IEEE Press. details

  13. Andy Song and Vic Ciesielski. Fast texture segmentation using genetic programming. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 2126-2133, Canberra, 2003. IEEE Press. details

  14. Andy Song and Vic Ciesielski and Hugh Williams. Texture Classifiers Generated by Genetic Programming. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 243-248, 2002. IEEE Press. details

  15. Andy Song and Thomas Loveard and Vic Ciesielski. Towards Genetic Programming for Texture Classification. In M. Stumptner and D. Corbett and M. Brooks editors, Proceedings of the 14th International Joint Conference on Artificial Intelligence AI 2001: Advances in Artificial Intelligence, volume 2256, pages 461-472, Adelaide, Australia, 2001. Springer-Verlag. details