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Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests.

, , , and . SIBGRAPI, page 13-18. IEEE, (2022)

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Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests., , , and . SIBGRAPI, page 13-18. IEEE, (2022)ForestEyes Project: Can Citizen Scientists Help Rainforests?, , and . eScience, page 18-27. IEEE, (2019)A MIMD Interpreter for Genetic Programming., , , and . EvoApplications, volume 12104 of Lecture Notes in Computer Science, page 645-658. Springer, (2020)Accelerated Motif Detection Using Combinatorial Techniques., , , and . SITIS, page 744-753. IEEE Computer Society, (2012)Methods for evaluating volunteers' contributions in a deforestation detection citizen science project., , , and . Future Gener. Comput. Syst., (2016)Bidimentional Modeling for Incompressible Viscous Flow with Unstructured Grid Circumcenter Based Approach.. National Institute for Space Research, São José dos Campos, Brazil, (2002)ndltd.org (oai:agregador.ibict.br.BDTD_INPE:oai:urlib.net:dpi.inpe.br/lise/2003/01.16.09.33.57-0).Evaluating Volunteers' Contributions in a Citizen Science Project., , , and . eScience, page 21-28. IEEE Computer Society, (2014)A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task., , , and . GECCO, ACM, (2024)ForestEyes Project: Conception, Enhancements, and Challenges., , and . CoRR, (2022)Lyapunov exponents and adaptive mesh refinement for high-speed flows using a discontinuous Galerkin scheme., , , , and . J. Comput. Phys., (2016)