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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators.

, , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2497-2504. IOS Press, (2020)

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JEO: Java Evolving Objects., , , , , and . GECCO, page 991-994. Morgan Kaufmann, (2002)Introducing machine learning for power system operation support., , , , and . CoRR, (2017)A Dynamic Lattice to Evolve Hierarchically Shared Subroutines., , and . EuroGP, volume 1391 of Lecture Notes in Computer Science, page 220-232. Springer, (1998)An Induction-based Control for Genetic Algorithms (Extended Abstract)., , and . ECML, volume 912 of Lecture Notes in Computer Science, page 351-355. Springer, (1995)Learning to Control Inconsistent Knowledge., and . ECAI, page 479-483. John Wiley and Sons, (1992)Optimizing coverage of simulated driving scenarios for the autonomous vehicle., , , and . ICCVE, page 1-5. IEEE, (2019)Bio-inspired approaches to anomaly and intrusion detection., and . GECCO (Companion), page 1121-1137. ACM, (2018)A statistical learning theory approach of bloat., , , and . GECCO, page 1783-1784. ACM, (2005)Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems., , , and . GECCO, page 974-981. Morgan Kaufmann, (1999)Universal Consistency and Bloat in GP, , , and . Revue d'Intelligence Artificielle, 20 (6): 805--827 (2006)Issue on New Methods in Machine Learning. Theory and Applications.