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Dynamic labeling and tree kernels with gap penalties., and . SCIS&ISIS, page 1690-1695. IEEE, (2012)Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns., , , , and . Vietnam. J. Comput. Sci., 5 (3-4): 229-239 (2018)Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes., , and . Fundam. Informaticae, 101 (3): 157-171 (2010)High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree., , , , , , , and . ICPRAM (1), page 354-359. SciTePress, (2015)Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets., , , , and . IWCIA, page 191-197. IEEE, (2017)Using canonical representations of block tree patterns in acquisition of characteristic block preserving outerplanar graph patterns., , , , and . IWCIA, page 93-99. IEEE, (2016)A generalization of Haussler's convolution kernel: mapping kernel., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 944-951. ACM, (2008)Scalable Detection of Frequent Substrings by Grammar-Based Compression., , , and . Discovery Science, volume 6926 of Lecture Notes in Computer Science, page 236-246. Springer, (2011)A Comprehensive Study of Tree Kernels., and . JSAI-isAI Workshops, volume 8417 of Lecture Notes in Computer Science, page 337-351. Springer, (2013)Acquisition of characteristic sets of block preserving outerplanar graph patterns by a two-stage evolutionary learning method for graph pattern sets., , , , and . Int. J. Comput. Intell. Stud., 7 (3/4): 270-288 (2018)