| Inferring a graph from path frequency T Akutsu, D Fukagawa Combinatorial Pattern Matching: 16th Annual Symposium, CPM 2005, Jeju Island …, 2005 | 64* | 2005 |
| Approximation and parameterized algorithms for common subtrees and edit distance between unordered trees T Akutsu, D Fukagawa, MM Halldórsson, A Takasu, K Tanaka Theoretical Computer Science 470, 10-22, 2013 | 39 | 2013 |
| Approximating tree edit distance through string edit distance T Akutsu, D Fukagawa, A Takasu Algorithmica 57, 325-348, 2010 | 37 | 2010 |
| A clique-based method for the edit distance between unordered trees and its application to analysis of glycan structures D Fukagawa, T Tamura, A Takasu, E Tomita, T Akutsu BMC bioinformatics 12, 1-9, 2011 | 35 | 2011 |
| Exact algorithms for computing the tree edit distance between unordered trees T Akutsu, D Fukagawa, A Takasu, T Tamura Theoretical Computer Science 412 (4-5), 352-364, 2011 | 30 | 2011 |
| A clique-based method using dynamic programming for computing edit distance between unordered trees T Mori, T Tamura, D Fukagawa, A Takasu, E Tomita, T Akutsu Journal of computational biology 19 (10), 1089-1104, 2012 | 27 | 2012 |
| Inferring a chemical structure from a feature vector based on frequency of labeled paths and small fragments T Akutsu, D Fukagawa Proceedings Of The 5th Asia-Pacific Bioinformatics Conference, 165-174, 2007 | 18 | 2007 |
| Dynamic hyperparameter optimization for bayesian topical trend analysis T Masada, D Fukagawa, A Takasu, T Hamada, Y Shibata, K Oguri Proceedings of the 18th ACM Conference on Information and knowledge …, 2009 | 16 | 2009 |
| Performance analysis of a greedy algorithm for inferring Boolean functions D Fukagawa, T Akutsu Information Processing Letters 93 (1), 7-12, 2005 | 15 | 2005 |
| Approximating tree edit distance through string edit distance T Akutsu, D Fukagawa, A Takasu Algorithms and Computation: 17th International Symposium, ISAAC 2006 …, 2006 | 14 | 2006 |
| Improved approximation of the largest common subtree of two unordered trees of bounded height T Akutsu, D Fukagawa, A Takasu Information processing letters 109 (2), 165-170, 2008 | 13 | 2008 |
| Statistical learning algorithm for tree similarity A Takasu, D Fukagawa, T Akutsu Seventh IEEE International Conference on Data Mining (ICDM 2007), 667-672, 2007 | 12 | 2007 |
| Efficient exponential-time algorithms for edit distance between unordered trees T Akutsu, T Tamura, D Fukagawa, A Takasu Journal of Discrete Algorithms 25, 79-93, 2014 | 9 | 2014 |
| Efficient exponential time algorithms for edit distance between unordered trees T Akutsu, T Tamura, D Fukagawa, A Takasu Annual Symposium on Combinatorial Pattern Matching, 360-372, 2012 | 9 | 2012 |
| Modeling topical trends over continuous time with priors T Masada, D Fukagawa, A Takasu, Y Shibata, K Oguri Advances in Neural Networks-ISNN 2010: 7th International Symposium on Neural …, 2010 | 8 | 2010 |
| Constant factor approximation of edit distance of bounded height unordered trees D Fukagawa, T Akutsu, A Takasu String Processing and Information Retrieval: 16th International Symposium …, 2009 | 8 | 2009 |
| Fast algorithms for comparison of similar unordered trees D Fukagawa, T Akutsu Algorithms and Computation: 15th International Symposium, ISAAC 2004, Hong …, 2005 | 8 | 2005 |
| An improved clique-based method for computing edit distance between unordered trees and its application to comparison of glycan structures T Akutsu, T Mori, T Tamura, D Fukagawa, A Takasu, E Tomita 2011 International Conference on Complex, Intelligent, and Software …, 2011 | 7 | 2011 |
| Maximal metric margin partitioning for similarity search indexes H Kurasawa, D Fukagawa, A Takasu, J Adachi Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 5 | 2009 |
| Pivot selection method for optimizing both pruning and balancing in metric space indexes H Kurasawa, D Fukagawa, A Takasu, J Adachi Database and Expert Systems Applications: 21th International Conference …, 2010 | 4 | 2010 |
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityBestätigte E-Mail-Adresse bei kuicr.kyoto-u.ac.jp
