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Multi-label classification via incremental clustering on an evolving data stream.

, , , , , and . Pattern Recognition, (2019)

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Simultaneous meta-data and meta-classifier selection in multiple classifier system., , , , , and . GECCO, page 39-46. ACM, (2019)Evolving an Optimal Decision Template for Combining Classifiers., , , , , , and . ICONIP (1), volume 11953 of Lecture Notes in Computer Science, page 608-620. Springer, (2019)Multi-label classification via incremental clustering on an evolving data stream., , , , , and . Pattern Recognition, (2019)On the definition of dynamic permutation problems under landscape rotation., , , and . GECCO (Companion), page 1518-1526. ACM, (2019)Taxation, incentives, and risk sharing., and . Oper. Res. Lett., 1 (3): 83-84 (1982)Interpolated continuous optimisation problems with tunable landscape features., , and . GECCO (Companion), page 169-170. ACM, (2017)Structural coherence of problem and algorithm: An analysis for EDAs on all 2-bit and 3-bit problems., , and . CEC, page 2066-2073. IEEE, (2015)Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management., , , and . GECCO, page 1547-1554. ACM, (2008)Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition., , and . MCDM, page 81-88. IEEE, (2011)Adaptive Dynamic Control of Quadrupedal Robotic Gaits with Artificial Reaction Networks., , , and . ICONIP (1), volume 7663 of Lecture Notes in Computer Science, page 280-287. Springer, (2012)