Genetic Programming Bibliography entries for Brian J Ross

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GP coauthors/coeditors: Anthony Awuley, Illya Bakurov, Maryam Baniasadi, Sheikh Faishal Basher, Steven Bergen, Xuhao Eric Chen, Corrado Coia, Tyler Cowan, Mohammad M O Gholami, Michael Gircys, Gina Grossi, Adrian Harrington, Adam Hewgill, Janine H Imada, Marshall Joseph, M Maghoumi, Jordan Antonio Mervyn Maslen, Kelly Moylan, Andrew Pozzuoli, Frank Fueten, Dmytro Y Yashkir, Han Zhu, Anthony G Gualtieri, Paul Budkewitsch, William Ralph, Hai Zong, Fazle Tanjil, Andrea L Wiens,

Genetic Programming Articles by Brian J Ross

  1. Michael Gircys and Brian J. Ross. Image Evolution Using 2D Power Spectra. Complexity, 2019:Article ID 7293193, 2019. details

  2. Maryam Baniasadi and Brian J. Ross. Exploring non-photorealistic rendering with genetic programming. Genetic Programming and Evolvable Machines, 16(2):211-239, 2015. details

  3. Steve Bergen and Brian J. Ross. Aesthetic 3D model evolution. Genetic Programming and Evolvable Machines, 14(3):339-367, 2013. Special issue on biologically inspired music, sound, art and design. details

  4. Brian J. Ross. The evolution of higher-level biochemical reaction models. Genetic Programming and Evolvable Machines, 13(1):3-31, 2012. Special Section on Evolutionary Algorithms for Data Mining. details

  5. Janine Imada and Brian J. Ross. Evolutionary Synthesis of Stochastic Gene Network Models Using Feature-based Search Spaces. New Generation Computing, 29:365-390, 2011. details

  6. Brian J. Ross and Anthony G. Gualtieri and Frank Fueten and Paul Budkewitsch. Hyperspectral image analysis using genetic programming. Applied Soft Computing, 5(2):147-156, 2005. details

  7. Brian J. Ross and Han Zhu. Procedural Texture Evolution Using Multiobjective Optimization. New Generation Computing, 22(3):271-293, 2004. details

  8. Adam Hewgill and Brian J. Ross. Procedural 3D Texture Synthesis Using Genetic Programming. Computers and Graphics, 28(4):569-584, 2004. details

  9. Andrea L. Wiens and Brian J. Ross. Gentropy: evolving 2D textures. Computers and Graphics, 26(1):75-88, 2002. details

  10. Brian J. Ross. The Evolution of Stochastic Regular Motifs for Protein Sequences. New Generation Computing, 20(2):187-213, 2002. details

  11. Brian J. Ross and Frank Fueten and Dmytro Y. Yashkir. Automatic Mineral Identification Using Genetic Programming. Machine Vision and Applications, 13(2):61-69, 2001. details

  12. Brian J. Ross. Logic-based Genetic Programming with Definite Clause Translation Grammars. New Generation Computing, 19(4):313-337, 2001. details

  13. Brian J. Ross. Probabilistic Pattern Matching and the Genetic Programming of Stochastic Regular Expressions. International Journal of Applied Intelligence, 3(3):285-300, 2000. details

  14. Brian J. Ross. Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions. Applied Intelligence, 13(3):285-300, 2000. details

  15. Brian J. Ross. The Evolution of Concurrent Programs. Applied Intelligence, 8(5):21-32, 1998. details

Genetic Programming conference papers by Brian J Ross

  1. Marshall Joseph and Brian J. Ross. Using Evolution and Deep Learning to Generate Diverse Intelligent Agents. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14635, pages 361-375, Aberystwyth, 2024. Springer. details

  2. Tyler Cowan and Brian J. Ross. Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14635, pages 345-360, Aberystwyth, 2024. Springer. details

  3. Andrew Pozzuoli and Brian Ross. Increasing Features in MAP-Elites Using an Age-Layered Population Structure. In 2023 IEEE Congress on Evolutionary Computation (CEC), 2023. details

  4. Jordan Maslen and Brian J. Ross. Mixed Media in Evolutionary Art. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  5. Sheikh Faishal Basher and Brian J. Ross. Managing Diversity and Many Objectives in Evolutionary Design. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  6. Xuhao Eric Chen and Brian J. Ross. Deep Neural Network Guided Evolution of L-System Trees. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2507-2514, Krakow, Poland, 2021. details

  7. Fazle Tanjil and Brian J. Ross. Deep Learning Concepts for Evolutionary Art. In Aniko Ekart and Antonios Liapis and Luz Castro editors, 8th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMusArt 2019, volume 11453, pages 1-17, Leipzig, Germany, 2019. Springer. details

  8. Illya Bakurov and Brian J. Ross. Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units. In Juan Romero and Antonios Liapis and Aniko Ekart editors, 7th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMUSART 2018, volume 10783, pages 34-49, Parma, Italy, 2018. Springer. details

  9. Gina Grossi and Brian J. Ross. Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains. In IEEE Conference on Computational Intelligence and Games, CIG 2017, pages 110-117, New York, NY, USA, 2017. IEEE. details

  10. Anthony Awuley and Brian J. Ross. Feature Selection and Classification Using Age Layered Population Structure Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 2417-2426, Vancouver, 2016. IEEE Press. details

  11. Brian J. Ross. Using multi-objective genetic programming to evolve stochastic logic gate circuits. In 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015. details

  12. Kelly Moylan and Brian Ross. Interior Illumination Design Using Genetic Programming. In Colin Johnson and Adrian Carballal and Joao Correia editors, 4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, volume 9027, pages 148-160, Copenhagen, 2015. Springer. details

  13. M. Maghoumi and B. J. Ross. A comparison of genetic programming feature extraction languages for image classification. In IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP 2014), 2014. details

  14. Mohammad M. O. Gholami and Brian J. Ross. Passive solar building design using genetic programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 1111-1118, Vancouver, BC, Canada, 2014. ACM. details

  15. Adrian Harrington and Brian J. Ross. Generative Representations for Artificial Architecture and Passive Solar Performance. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 537-545, Cancun, Mexico, 2013. details

  16. Steve Bergen and Brian Ross. Aesthetic 3D Model Evolution. In Penousal Machado and Juan Romero and Adrian Carballal editors, Proceedings of the 1st International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2012, volume 7247, pages 11-22, Malaga, Spain, 2012. Springer Verlag. details

  17. Brian Ross. Evolution of Stochastic Bio-Networks Using Summed Rank Strategies. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 772-779, New Orleans, USA, 2011. IEEE Press. details

  18. Corrado Coia and Brian Ross. Automatic Evolution of Conceptual Building Architectures. In Alice E. Smith editor, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, pages 1145-1152, New Orleans, USA, 2011. IEEE Press. details

  19. Brian J. Ross and Janine H. Imada. Evolving stochastic processes using feature tests and genetic programming. 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 1059-1066, Montreal, 2009. ACM. details

  20. Janine H. Imada and Brian J. Ross. Using feature-based fitness evaluation in symbolic regression with added noise. In Marc Ebner and Mike Cattolico and Jano van Hemert and Steven Gustafson and Laurence D. Merkle and Frank W. Moore and Clare Bates Congdon and Christopher D. Clack and Frank W. Moore and William Rand and Sevan G. Ficici and Rick Riolo and Jaume Bacardit and Ester Bernado-Mansilla and Martin V. Butz and Stephen L. Smith and Stefano Cagnoni and Mark Hauschild and Martin Pelikan and Kumara Sastry editors, GECCO-2008 Late-Breaking Papers, pages 2153-2158, Atlanta, GA, USA, 2008. ACM. details

  21. Brian J. Ross and William Ralph and Hai Zong. Evolutionary Image Synthesis Using a Model of Aesthetics. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 3832-3839, Vancouver, 2006. IEEE Press. details

  22. Adam Hewgill and Brian J. Ross. The Evolution of 3D Procedural Textures. In Bart Rylander editor, Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 146-147, Chicago, USA, 2003. details

  23. Brian J. Ross and Anthony G. Gualtieri and Frank Fueten and Paul Budkewitsch. Hyperspectral Image Analysis Using Genetic Programming. In W. B. Langdon and E. Cant\'u-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pages 1196-1203, New York, 2002. Morgan Kaufmann Publishers. details

  24. Brian J. Ross. Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities. In 6th IASTED International Conference, Artificial Intelligence and Soft Computing, ASC 2002, The Banff Centre for Conferences, Box 1020, 107 Tunnel Mountain Drive, Banff, Alberta, T0L 0C0, Canada, 2002. details

  25. Brian J. Ross. The Evaluation of a Stochastic Regular Motif Language for Protein Sequences. In Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 120-128, San Francisco, California, USA, 2001. Morgan Kaufmann. details

  26. Andrea L. Wiens and Brian J. Ross. Gentropy: Evolutionary 2D Texture Generation. In Darrell Whitley editor, Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 418-424, Las Vegas, Nevada, USA, 2000. details

  27. Brian J. Ross. The Effects of Randomly Sampled Training Data on Program Evolution. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 443-450, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  28. Brian J. Ross and Frank Fueten and Dmytro Y. Yashkir. Edge Detection of Petrographic Images Using Genetic Programming. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 658-665, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  29. Brian J. Ross. Probabilistic pattern matching and the evolution of stochastic regular expressions. In Scott Brave and Annie S. Wu editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 229-237, Orlando, Florida, USA, 1999. details

  30. Brian J. Ross. Logic-based Genetic Programming with Definite Clause Translation Grammars. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, page 1236, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  31. Brian J. Ross. Pairwise Sequence Comparison and the Genetic Programming of Iterative Concurrent Programs. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 338-343, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

Genetic Programming book chapters by Brian J Ross

Genetic Programming technical reports by Brian J Ross

  1. Adam Hewgill and Brian J. Ross. Procedural 3D Texture Synthesis Using Genetic Programming. Technical Report , CS-03-06, Brock University, Department of Computer Science, St. Catharines, Ontario, Canada L2S 3A1, 2003. details

  2. Brian J. Ross and Anthony G. Gualtieri and Frank Fueten and Paul Budkewitsch. Hyperspectral Image Analysis Using Genetic Programming. Technical Report , CS-02-12, Department of Computer Science, Brock University, 2002. details

  3. Brian J. Ross. Searching for Search Algorithms: Experiments in Meta-search. Technical Report , CS-02-23, Department of Computer Science, Brock University, St. Catharines, Ontario, Canada L2S 3A1 www.cosc.brocku.ca, 2002. details

  4. B. J. Ross and F. Fueten and D. Y. Yashkir. Automatic Mineral Identification Using Genetic Programming. Techincal Report , CS-99-04, Department of Computer SCience, Brock University, 1999. details

  5. Brian J. Ross. The Effects of Randomly Sampled Training Data on Program Evolution. Technical Report , CS-99-03, Dept. of Computer Science, Brock University, Canada, 1999. details