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A new approach for interpreting random forest models and its application to the biology of ageing

, , , , and . Bioinformatics, 34 (14): 2449--2456 (2018)

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Novel Approaches for Detecting Frauds in Energy Consumption., , and . NSS, page 546-551. IEEE Computer Society, (2009)JoinUs: Management of Mobile Social Networks for Pervasive Collaboration., , , and . SBSC, page 224-234. IEEE Computer Society, (2008)An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions., and . DEXA Workshops, page 64-68. IEEE Computer Society, (2014)Using GA for the stratified sampling of electricity consumers., , , , , and . IEEE Congress on Evolutionary Computation, page 261-268. IEEE, (2013)An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 13 (6): 1045-1058 (2016)A new approach for interpreting Random Forest models and its application to the biology of ageing., , , , and . Bioinform., 34 (14): 2449-2456 (2018)A Situation-Aware Fear Learning (SAFEL) model for robots., , , and . Neurocomputing, (2017)Coevolutive clustering algorithm for large datasets., , and . CEC, page 1-8. IEEE, (2020)Optimization metaheuristics for minimizing variance in a real-world statistical application., , , , and . SAC, page 206-207. ACM, (2013)Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes., , , and . Briefings Bioinform., 21 (3): 803-814 (2020)