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Socio-cognitive Evolution Strategies., , , , , и . ICCS (2), том 12743 из Lecture Notes in Computer Science, стр. 329-342. Springer, (2021)Contemporary Symbolic Regression Methods and their Relative Performance., , , , , , , и . NeurIPS Datasets and Benchmarks, (2021)Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures., , , , , , , и . MBIA, том 8159 из Lecture Notes in Computer Science, стр. 202-210. Springer, (2013)An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining., , и . PPSN, том 8672 из Lecture Notes in Computer Science, стр. 211-221. Springer, (2014)Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data., , , , , , , и . MedInfo, том 245 из Studies in Health Technology and Informatics, стр. 1268. IOS Press, (2017)Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?, и . GECCO (Companion), стр. 304-305. ACM, (2019)Random artificial incorporation of noise in a learning classifier system environment., , и . GECCO (Companion), стр. 369-374. ACM, (2011)Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning., , и . GECCO (Companion), стр. 1403. ACM, (2016)Benchmarking Manifold Learning Methods on a Large Collection of Datasets., , и . EuroGP, том 12101 из Lecture Notes in Computer Science, стр. 135-150. Springer, (2020)Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions., , и . EuroGP, том 11451 из Lecture Notes in Computer Science, стр. 146-161. Springer, (2019)