Genetic Programming Bibliography entries for Joao E Batista

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GP coauthors/coeditors: Nuno Miguel Rodrigues Domingos, Sara Silva, Ana Isabel Rosa Cabral, Maria Jose Vasconcelos, Leonardo Vanneschi, William La Cava,

Genetic Programming Articles by Joao E Batista

Genetic Programming conference papers by Joao E Batista

  1. Joao Batista and Sara Silva. Evolving a Cloud-Robust Water Index with Genetic Programming. In Yew-Soon Ong and Abhishek Gupta editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 55-56, Boston, USA, 2022. Association for Computing Machinery. details

  2. Nuno Rodrigues and Joao Batista and William La Cava and Leonardo Vanneschi and Sara Silva. SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 68-84, Madrid, Spain, 2022. Springer Verlag. details

  3. Joao E. Batista and Sara Silva. Comparative study of classifier performance using automatic feature construction by M3GP. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  4. Nuno M. Rodrigues and Joao E. Batista and Sara Silva. Ensemble Genetic Programming. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 151-166, Seville, Spain, 2020. Springer Verlag. details

  5. Joao E. Batista and Sara Silva. Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24404, internet, 2020. IEEE Press. details

  6. Joao E. Batista and Nuno M. Rodrigues and Sara Silva. To adapt or not to adapt, or the beauty of random settings. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 336-337, Prague, Czech Republic, 2019. ACM. details