Genetic Programming Bibliography entries for Sylvain Cussat-Blanc

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8344

GP coauthors/coeditors: Julien Biau, Dennis G Wilson, Herve Luga, Kevin Cortacero, Brienne McKenzie, Sabina Mueller, Roxana Khazen, Fanny Lafouresse, Gaelle Corsaut, Nathalie Van Acker, Francois-Xavier Frenois, Laurence Lamant, Nicolas Meyer, Beatrice Vergier, Oskar Staufer, Michael L Dustin, Salvatore Valitutti, Yves Duthen, Kyle Ira Harrington, Wolfgang Banzhaf, Camilo De La Torre, Yuri Lavinas, Giorgia Nadizar, Robin Schwob, Camille Franchet, Jean Marie Dembele, Jean Disset, Nathaniel Haut, William F Punch, Julian F Miller, Stephane Sanchez,

Genetic Programming Articles by Sylvain Cussat-Blanc

  1. Kevin Cortacero and Brienne McKenzie and Sabina Mueller and Roxana Khazen and Fanny Lafouresse and Gaelle Corsaut and Nathalie Van Acker and Francois-Xavier Frenois and Laurence Lamant and Nicolas Meyer and Beatrice Vergier and Dennis G. Wilson and Herve Luga and Oskar Staufer and Michael L. Dustin and Salvatore Valitutti and Sylvain Cussat-Blanc. Evolutionary design of explainable algorithms for biomedical image segmentation. Nature Communications, 14:article 7112, 2023. Gold Humie award. details

  2. Sylvain Cussat-Blanc and Kyle Harrington and Wolfgang Banzhaf. Artificial Genetic Regulatory Networks - A Review. Artificial Life, 24(4):296-328, 2018. details

  3. Jean Marie Dembele and Sylvain Cussat-Blanc and Jean Disset and Yves Duthen. Investigating Artificial Cells' Spatial Proliferation with a Gene Regulatory Network. Procedia Computer Science, 114:208-215, 2017. Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS October 30 - November 1, 2017, Chicago, Illinois, USA. details

  4. Stephane Sanchez and Sylvain Cussat-Blanc. Gene regulated car driving: using a gene regulatory network to drive a virtual car. Genetic Programming and Evolvable Machines, 15(4):477-511, 2014. Special issue on GECCO competitions. details

Genetic Programming conference papers by Sylvain Cussat-Blanc

  1. Camilo De La Torre and Giorgia Nadizar and Yuri Lavinas and Robin Schwob and Camille Franchet and Herve Luga and Dennis Wilson and Sylvain Cussat-Blanc. Evolved and Transparent Pipelines for Biomedical Image Classification. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 173-189, Trieste, 2025. Springer Nature. details

  2. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Dynamically Sampling biomedical Images For Genetic Programming. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 515-518, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Yuri Lavinas and Nathan Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  4. Camilo De La Torre and Sylvain Cussat-Blanc and Dennis Wilson and Yuri Lavinas. On Search Trajectory Networks for Graph Genetic Programming. In Dennis G. Wilson and Giorgia Nadizar and Giovanni Squillero and Alberto Tonda editors, Graph-based Genetic Programming, pages 1681-1685, Melbourne, Australia, 2024. Association for Computing Machinery. details

  5. Camilo De La Torre and Kevin Cortacero and Sylvain Cussat-Blanc and Dennis Wilson. Multimodal Adaptive Graph Evolution. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 499-502, Melbourne, Australia, 2024. Association for Computing Machinery. details

  6. Camilo De La Torre and Sylvain Cussat-Blanc and Dennis Wilson and Yuri Lavinas. On Search Trajectory Networks for Graph Genetic Programming. In Dennis G. Wilson and Roman Kalkreuth and Eric Medvet and Giorgia Nadizar and Giovanni Squillero and Alberto Tonda and Yuri Lavinas editors, 2nd GECCO workshop on Graph-based Genetic Programming, pages 1681-1685, Melbourne, 2024. Association for Computing Machinery. details

  7. Yuri Lavinas and Nathaniel Haut and William Punch and Wolfgang Banzhaf and Sylvain Cussat-Blanc. Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, volume 15148, pages 256-272, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  8. Yuri Lavinas and Camilo De La Torre and Kevin Cortacero and Dennis G. Wilson and Sylvain Cussat-Blanc. Interpretable Genetic Programming Models for Real-World Biomedical Images. In Stephan M. Winkler and Wolfgang Banzhaf and Ting Hu and Alexander Lalejini editors, Genetic Programming Theory and Practice XXI, pages 297-319, University of Michigan, USA, 2024. Springer. details

  9. Camilo De La Torre and Yuri Lavinas and Kevin Cortacero and Dennis Wilson and Sylvain Cussat-Blanc. Multi-Modal Adaptive Graph Evolution for Program Synthesis. In Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck editors, 18th International Conference on Parallel Problem Solving from Nature, volume 15148, pages 306-321, University of Applied Sciences Upper Austria, Hagenberg, Austria, 2024. Springer. details

  10. Julien Biau and Sylvain Cussat-Blanc and Herve Luga. Improving Image Filter Efficiency: A Multi-objective Genetic Algorithm Approach to Optimize Computing Efficiency. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 19-34, Aberystwyth, 2024. Springer. details

  11. Yuri Lavinas and Kevin Cortacero and Sylvain Cussat-Blanc. Evolving Graphs with Cartesian Genetic Programming with Lexicase Selection. In Roman Kalkreuth and Thomas Baeck and Dennis G. Wilson and Paul Kaufmann and Leo Francoso Dal Piccol Sotto and Timothy Aktinson editors, Graph-based Genetic Programming, pages 1920-1924, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  12. Julien Biau and Dennis Wilson and Sylvain Cussat-Blanc and Herve Luga. Improving Image Filters with Cartesian Genetic Programming. In Thomas B\"ack and Christian Wagner and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Juan Juli\'an Merelo and Kevin Warwick editors, Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, Online Streaming, October 25-27, 2021, pages 17-27, 2021. SCITEPRESS. details

  13. Julian F. Miller and Dennis G. Wilson and Sylvain Cussat-Blanc. Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 137-178, Ann Arbor, USA, 2018. Springer. details

  14. Dennis G. Wilson and Sylvain Cussat-Blanc and Herve Luga and Julian F Miller. Evolving simple programs for playing Atari games. In Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, pages 229-236, Kyoto, Japan, 2018. ACM. details

  15. Dennis Wilson and Sylvain Cussat-Blanc and Herve Luga. The Evolution of Artificial Neurogenesis. In GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, pages 1047-1048, Denver, Colorado, USA, 2016. ACM. details

  16. Sylvain Cussat-Blanc and Herve Luga and Yves Duthen. Cell2Organ: Self-Repairing Artificial Creatures Thanks to a Healthy Metabolism. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 2708-2715, Trondheim, Norway, 2009. IEEE Press. details

  17. Sylvain Cussat-Blanc and Herve Luga and Yves Duthen. From single cell to simple creature morphology and metabolism. In S. Bullock and J. Noble and R. Watson and M. A. Bedau editors, Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems, pages 134-141, Winchester, Hants, 2008. MIT Press. details

Genetic Programming other entries for Sylvain Cussat-Blanc