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ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem., , , , , и . Knowl. Based Syst., (2015)Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data., , и . EvoApplications (1), том 10199 из Lecture Notes in Computer Science, стр. 125-141. (2017)Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System., и . IWLCS, том 4399 из Lecture Notes in Computer Science, стр. 59-79. Springer, (2005)Evolving multiple discretizations with adaptive intervals for a Pittsburgh Rule-Based Learning Classifier System, и . Proceedings of the Genetic and Evolutionary Computation Conference - GECCO2003, стр. 1818--1831. LNCS 2724, Springer, (2003)Data Mining in Learning Classifier Systems: Comparing XCS with GAssist, и . IlliGAL report, 2004030. Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, (2004)Online Adaptation in Learning Classifier Systems: Stream Data Mining, , , и . IlliGAL report, 2004031. Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, (2004)Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets., и . Memetic Computing, 5 (2): 95-130 (2013)Towards Low-Carbon Conferencing: Acceptance of Virtual Conferencing Solutions and Other Sustainability Measures in the ALIFE Community., , , , и . ALIFE, стр. 21-27. MIT Press, (2019)Artificial Life in a Challenged World., , , и . ALIFE, стр. 1-3. MIT Press, (2019)Evolution Of Adaptive Discretization Intervals For A Rule-based Genetic Learning System., и . GECCO, стр. 677. Morgan Kaufmann, (2002)