| A generalization of Haussler's convolution kernel: mapping kernel K Shin, T Kuboyama Proceedings of the 25th international conference on Machine learning, 944-951, 2008 | 57 | 2008 |
| A gram distribution kernel applied to glycan classification and motif extraction T Kuboyama, K Hirata, KF Aoki, H Kashima, H Yasuda Genome Informatics 17 (2), 25-34, 2006 | 47 | 2006 |
| Matching and Learning in Trees 木の照合と学習， 久保山哲二 | 43* | 2007 |
| A spectrum tree kernel T Kuboyama, K Hirata, H Kashima, KF Aoki-Kinoshita, H Yasuda Information and Media Technologies 2 (1), 292-299, 2007 | 43 | 2007 |
| Improved MAX SNP-hard results for finding an edit distance between unordered trees K Hirata, Y Yamamoto, T Kuboyama Annual Symposium on Combinatorial Pattern Matching, 402-415, 2011 | 29 | 2011 |
| Flexible tree kernels based on counting the number of tree mappings T Kuboyama, K Shin, H Kashima MLG 2006, 61, 2006 | 25 | 2006 |
| Rumor analysis framework in social media T Hashimoto, T Kuboyama, Y Shirota TENCON 2011-2011 IEEE Region 10 Conference, 133-137, 2011 | 24 | 2011 |
| A subpath kernel for rooted unordered trees D Kimura, T Kuboyama, T Shibuya, H Kashima Pacific-Asia Conference on Knowledge Discovery and Data Mining, 62-74, 2011 | 24 | 2011 |
| A Generalization of Haussler's Convolution Kernel—Mapping Kernel and Its Application to Tree Kernels K Shin, T Kuboyama Journal of Computer Science and Technology 25 (5), 1040-1054, 2010 | 24 | 2010 |
| Mapping kernels for trees K Shin, M Cuturi, T Kuboyama Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 23 | 2011 |
| Super-CWC and super-LCC: Super fast feature selection algorithms K Shin, T Kuboyama, T Hashimot, D Shepard 2015 IEEE International Conference on Big Data (Big Data), 1-7, 2015 | 20 | 2015 |
| Discovering new knowledge from graph data using inductive logic programming T Miyahara, T Shoudai, T Uchida, T Kuboyama, K Takahashi, H Ueda International Conference on Inductive Logic Programming, 222-233, 1999 | 20 | 1999 |
| A genetic programming approach to extraction of glycan motifs using tree structured patterns M Nagamine, T Miyahara, T Kuboyama, H Ueda, K Takahashi Australasian Joint Conference on Artificial Intelligence, 150-159, 2007 | 19 | 2007 |
| An efficient unordered tree kernel and its application to glycan classification T Kuboyama, K Hirata, KF Aoki-Kinoshita Pacific-Asia Conference on Knowledge Discovery and Data Mining, 184-195, 2008 | 16 | 2008 |
| Learning of glycan motifs using genetic programming and various fitness functions T Miyahara, T Kuboyama Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2014 | 13 | 2014 |
| Temporal awareness of needs after east japan great earthquake using latent semantic analysis Y SHIROTA Information Modelling and Knowledge Bases XXV 25, 200, 2014 | 13 | 2014 |
| Tractable and intractable variations of unordered tree edit distance Y Yamamoto, K Hirata, T Kuboyama International Journal of Foundations of Computer Science 25 (03), 307-329, 2014 | 12 | 2014 |
| A theoretical analysis of alignment and edit problems for trees T Kuboyama, K Shin, T Miyahara, H Yasuda Italian Conference on Theoretical Computer Science, 323-337, 2005 | 12 | 2005 |
| The q-Gram Distance for Ordered Unlabeled Trees N Ohkura, K Hirata, T Kuboyama, M Harao International Conference on Discovery Science, 189-202, 2005 | 12 | 2005 |
| A Self-referential Equation, f (f)= f, Obtained by Using the Theory of (M, R) Systems: Overview and Applications. J Letelier, T Kuboyama, H Yasuda, ML Cárdenas, A Cornish-Bowden Algebraic Biology, 115-126, 2005 | 11 | 2005 |
Takako HashimotoChiba University of Commerce, Japan確認したメール アドレス: cuc.ac.jp
