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A meta-learning framework for algorithm recommendation in software fault prediction.

, , , and . SAC, page 1486-1491. ACM, (2016)

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Evolutionary model trees for handling continuous classes in machine learning., , and . Inf. Sci., 181 (5): 954-971 (2011)Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data., , , , , , and . BMC Bioinformatics, (2012)Reduction strategies for hierarchical multi-label classification in protein function prediction., , , and . BMC Bioinformatics, (2016)Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets., , , and . IEEE Trans. Evolutionary Computation, 18 (6): 873-892 (2014)Hierarchical multi-label classification using local neural networks., , and . J. Comput. Syst. Sci., 80 (1): 39-56 (2014)Automatic Design of Decision-Tree Induction Algorithms, , and . Springer Briefs in Computer Science Springer, (2015)Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments., , , , and . Comp. Int. and Neurosc., (2015)Media Professionals' Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter., , , , , , , , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2017)Hierarchical Multi-Label Classification Networks., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5225-5234. PMLR, (2018)Estimation of distribution algorithms for decision-tree induction., , and . CEC, page 2022-2029. IEEE, (2017)