Genetic Programming Bibliography entries for Dennis G Wilson

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GP coauthors/coeditors: Mahmoud Al Najar, Rafael Almar, Erwin W J Bergsma, Jean-Marc Delvit, Julien Biau, Sylvain Cussat-Blanc, 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, Camilo De La Torre, Yuri Lavinas, Giorgia Nadizar, Robin Schwob, Camille Franchet, Tarek Kunze, Paul Templier, Julian F Miller, Eric Medvet,

Genetic Programming Articles by Dennis G Wilson

Genetic Programming PhD doctoral thesis Dennis G Wilson

Genetic Programming conference papers by Dennis G Wilson

  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. Giorgia Nadizar and Eric Medvet and Dennis Wilson. Searching for a Diversity of Interpretable Graph Control Policies. In Ting Hu and Aniko Ekart and Julia Handl and Xiaodong Li and Markus Wagner and Mario Garza-Fabre and Kate Smith-Miles and Richard Allmendinger and Ying Bi and Grant Dick and Amir H Gandomi and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Nadarajen Veerapen and Yuan Sun and Mario Andres Munyoz and Ahmed Kheiri and Nguyen Su and Dhananjay Thiruvady and Andy Song and Frank Neumann and Carla Silva editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pages 933-941, Melbourne, Australia, 2024. Association for Computing Machinery. details

  3. Tarek Kunze and Paul Templier and Dennis G. Wilson. Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks. 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. Giorgia Nadizar and Eric Medvet and Dennis G. Wilson. Naturally Interpretable Control Policies via Graph-Based Genetic Programming. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 73-89, Aberystwyth, 2024. Springer. Best paper. 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. Mahmoud Al Najar and Rafael Almar and Erwin W. J. Bergsma and Jean-Marc Delvit and Dennis G. Wilson. Improving a Shoreline Forecasting Model with Symbolic Regression. In ICLR 2023 Workshop on Tackling Climate Change with Machine Learning, Kigali Rwanda, 2023. details

  11. Mahmoud Al Najar and Rafael Almar and Erwin W. J. Bergsma and Jean-Marc Delvit and Dennis G. Wilson. Genetic Improvement of Shoreline Evolution Forecasting Models. In Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke editors, GI @ GECCO 2022, pages 1916-1923, Boston, USA, 2022. 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. Julian F. Miller and Dennis G. Wilson. A Developmental Artificial Neural Network Model for Solving Multiple Problems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 69-70, Berlin, Germany, 2017. ACM. details

  16. 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

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