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2020 – today
- 2024
[c84]Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. ICPRAM 2024: 499-510- 2022
- [c83]Naoya Higuchi, Yasunobu Imamura, Vladimir Mic
, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Nearest-neighbor Search from Large Datasets using Narrow Sketches. ICPRAM 2022: 401-410 - 2021
- [j16]Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno:
Analyzing temporal patterns of topic diversity using graph clustering. J. Supercomput. 77(5): 4375-4388 (2021) - [c82]Yuma Kawasaki, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Evolutionary Acquisition of Multiple TTSP Graph Patterns with Wildcards by Clustering TTSP Graphs. IWCIA 2021: 1-8 - [c81]Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto:
Random Number Generators in Training of Contextual Neural Networks. ACIIDS 2021: 717-730 - [c80]Shunsuke Yokoyama, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama:
Using Label Information in a Genetic Programming Based Method for Acquiring Tag Tree Patterns with Vertex Labels and Wildcards. IIAI-AAI-Winter 2021: 418-428 - 2020
- [j15]Takuya Kida, Tetsuji Kuboyama, Takeaki Uno, Akihiro Yamamoto:
Guest Editorial: Special issue on Discovery Science. Mach. Learn. 109(6): 1145-1146 (2020) - [c79]David Lawrence Shepard, Takako Hashimoto, Kilho Shin, Takeaki Uno, Tetsuji Kuboyama:
Unsupervised Rumor Detection on Twitter using Topic Homogeneity. DH 2020 - [c78]Kilho Shin, Kenta Okumoto, David Lawrence Shepard, Tetsuji Kuboyama, Takako Hashimoto, Hiroaki Ohshima:
A Fast Algorithm for Unsupervised Feature Value Selection. ICAART (2) 2020: 203-213 - [c77]Kilho Shin, Kenta Okumoto, David Lawrence Shepard, Akira Kusaba, Takako Hashimoto, Jorge Amari, Keisuke Murota, Junnosuke Takai, Tetsuji Kuboyama, Hiroaki Ohshima:
Unsupervised Feature Value Selection Based on Explainability. ICAART (Revised Selected Papers) 2020: 421-444 - [c76]Takako Hashimoto, Kilho Shin, David Lawrence Shepard, Tetsuji Kuboyama:
Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering. iCAST 2020: 1-6 - [c75]Akira Kusaba, Kilho Shin, Dave Shepard, Tetsuji Kuboyama:
Predictive Nonlinear Modeling by Koopman Mode Decomposition. ICDM (Workshops) 2020: 811-819 - [c74]Takako Hashimoto, Akira Kusaba, Dave Shepard, Tetsuji Kuboyama, Kilho Shin, Takeaki Uno:
Twitter Topic Progress Visualization using Micro-clustering. ICPRAM 2020: 585-592 - [c73]Naoya Higuchi, Yasunobu Imamura, Vladimir Mic, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Pivot Selection for Narrow Sketches by Optimization Algorithms. SISAP 2020: 33-46 - [c72]Akira Kusaba, Takako Hashimoto, Kilho Shin, David Lawrence Shepard, Tetsuji Kuboyama:
Unsupervised Clustering based on Feature-value / Instance Transposition Selection. TENCON 2020: 1192-1197
2010 – 2019
- 2019
- [c71]Fumiya Tokuhara, Shiho Okinaga, Tetsuhiro Miyahara, Yusuke Suzuki, Tetsuji Kuboyama, Tomoyuki Uchida:
Using Label Information in a Genetic Programming Based Method for Acquiring Block Preserving Outerplanar Graph Patterns with Wildcards. IWCIA 2019: 95-100 - [c70]Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara:
Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching. Australasian Conference on Artificial Intelligence 2019: 240-252 - [c69]Takako Hashimoto, Takeaki Uno, Tetsuji Kuboyama, Kilho Shin, Dave Shepard:
Time Series Topic Transition Based on Micro-Clustering. BigComp 2019: 1-8 - [c68]Akira Kusaba, Tetsuji Kuboyama, Takako Hashimoto:
Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization. iCAST 2019: 1-6 - [c67]Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Annealing by Increasing Resampling. ICPRAM (Revised Selected Papers) 2019: 71-92 - [c66]Yasunobu Imamura, Naoya Higuchi, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Annealing by Increasing Resampling in the Unified View of Simulated Annealing. ICPRAM 2019: 173-180 - [c65]Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara:
Fast Nearest Neighbor Search with Narrow 16-bit Sketch. ICPRAM 2019: 540-547 - [c64]Mikio Mizukami, Kouichi Hirata, Tetsuji Kuboyama:
Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement. ICPRAM 2019: 699-706 - 2018
- [j14]Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Acquisition of characteristic sets of block preserving outerplanar graph patterns by a two-stage evolutionary learning method for graph pattern sets. Int. J. Comput. Intell. Stud. 7(3/4): 270-288 (2018) - [j13]Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Aggregative context-aware fitness functions based on feature selection for evolutionary learning of characteristic graph patterns. Vietnam. J. Comput. Sci. 5(3-4): 229-239 (2018) - [c63]Naoya Higuchi, Yasunobu Imamura, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara:
Nearest Neighbor Search using Sketches as Quantized Images of Dimension Reduction. ICPRAM 2018: 356-363 - 2017
- [j12]Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto, Dave Shepard:
sCwc/sLcc: Highly Scalable Feature Selection Algorithms. Inf. 8(4): 159 (2017) - [c62]Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Acquisition of multiple block preserving outerplanar graph patterns by an evolutionary method for graph pattern sets. IWCIA 2017: 191-197 - [c61]Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
A Context-Aware Fitness Function Based on Feature Selection for Evolutionary Learning of Characteristic Graph Patterns. ACIIDS (1) 2017: 748-757 - [c60]Takako Hashimoto, Hiroshi Okamoto, Tetsuji Kuboyama, Kilho Shin:
Topic life cycle extraction from big Twitter data based on community detection in bipartite networks. IEEE BigData 2017: 2740-2745 - [c59]David Lawrence Shepard, Takako Hashimoto, Hiroshi Okamoto, Tetsuji Kuboyama, Kilho Shin:
Missionaries, Politicians, and Boy Bands: Onlooker Behavior on Twitter During the Nepal, Kumamoto, and Ecuador Earthquakes. DH 2017 - [c58]Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin:
Topic Extraction on Twitter Considering Author's Role Based on Bipartite Networks. DS 2017: 239-247 - [c57]Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin:
Topic Extraction from Millions of Tweets Based on Community Detection in Bipartite Networks. EJC 2017: 395-408 - [c56]Kilho Shin, Tetsuji Kuboyama, Tetsuhiro Miyahara, Kenji Tanaka:
Multiple Alignments of Data Objects and Generalized Center Star Algorithm. FSDM 2017: 35-45 - [c55]Yuuki Yamagata, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Fumiya Tokuhara, Tetsuji Kuboyama:
Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals. IIAI-AAI 2017: 459-464 - [c54]Yasunobu Imamura, Naoya Higuchi, Tetsuji Kuboyama, Kouichi Hirata, Takeshi Shinohara:
Pivot Selection for Dimension Reduction using Annealing by Increasing Resampling. LWDA 2017: 15 - [e1]Akihiro Yamamoto, Takuya Kida, Takeaki Uno, Tetsuji Kuboyama:
Discovery Science - 20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings. Lecture Notes in Computer Science 10558, Springer 2017, ISBN 978-3-319-67785-9 [contents] - 2016
- [j11]Yoshimasa Takabatake, Kenta Nakashima, Tetsuji Kuboyama, Yasuo Tabei, Hiroshi Sakamoto:
siEDM: An Efficient String Index and Search Algorithm for Edit Distance with Moves. Algorithms 9(2): 26 (2016) - [c53]Fumiya Tokuhara, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama:
Using canonical representations of block tree patterns in acquisition of characteristic block preserving outerplanar graph patterns. IWCIA 2016: 93-99 - [c52]David Lawrence Shepard, Takako Hashimoto, Tetsuji Kuboyama, Kilho Shin:
What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake. DH 2016: 361-364 - [c51]Eina Hashimoto, Masatsugu Ichino, Tetsuji Kuboyama, Isao Echizen, Hiroshi Yoshiura:
Breaking Anonymity of Social Network Accounts by Using Coordinated and Extensible Classifiers Based on Machine Learning. I3E 2016: 455-470 - [c50]Takako Hashimoto, Dave Shepard, Tetsuji Kuboyama, Kilho Shin:
Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC. ICDM Workshops 2016: 724-731 - [c49]Fumiya Tokuhara, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama:
Acquisition of Characteristic Block Preserving Outerplanar Graph Patterns by Genetic Programming Using Label Information. IIAI-AAI 2016: 203-210 - [c48]Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Fast Hilbert Sort Algorithm Without Using Hilbert Indices. SISAP 2016: 259-267 - [i1]Yoshimasa Takabatake, Kenta Nakashima, Tetsuji Kuboyama, Yasuo Tabei, Hiroshi Sakamoto:
siEDM: an efficient string index and search algorithm for edit distance with moves. CoRR abs/1602.06688 (2016) - 2015
- [j10]Ryohei Saito, Tetsuji Kuboyama, Hiroshi Yasuda:
User behaviour modelling by abstracting low-level window transition logs. Int. J. Comput. Sci. Eng. 11(3): 249-258 (2015) - [c47]Yuto Ouchiyama, Tetsuhiro Miyahara, Yusuke Suzuki, Tomoyuki Uchida, Tetsuji Kuboyama, Fumiya Tokuhara:
Acquisition of characteristic block preserving outerplanar graph patterns from positive and negative data using Genetic Programming and tree representation of graph patterns. IWCIA 2015: 95-101 - [c46]Takako Hashimoto, Tetsuji Kuboyama, Basabi Chakraborty:
Topic extraction from millions of tweets using singular value decomposition and feature selection. APSIPA 2015: 1145-1150 - [c45]Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto, Dave Shepard:
Super-CWC and super-LCC: Super fast feature selection algorithms. IEEE BigData 2015: 61-67 - [c44]Tomoya Yamazaki, Akihiro Yamamoto, Tetsuji Kuboyama:
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees. Discovery Science 2015: 316-323 - [c43]Takako Hashimoto, Dave Shepard, Tetsuji Kuboyama, Kilho Shin:
Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique. ICDM Workshops 2015: 7-12 - [c42]Issei Hamada, Takaharu Shimada, Daiki Nakata, Kouichi Hirata, Tetsuji Kuboyama:
Classifying Nucleotide Sequences and their Positions of Influenza A Viruses through Several Kernels. ICPRAM (1) 2015: 342-347 - [c41]Yohei Nasu, Naoki Kishikawa, Kei Tashima, Shin Kodama, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
High Dimensional Similarity Search with Bundled Query Processing on Hilbert R-Tree. ICPRAM (1) 2015: 354-359 - 2014
- [j9]Yoshiyuki Yamamoto, Kouichi Hirata, Tetsuji Kuboyama:
Tractable and Intractable variations of Unordered Tree Edit Distance. Int. J. Found. Comput. Sci. 25(3): 307-330 (2014) - [j8]Tetsuhiro Miyahara, Tetsuji Kuboyama:
Learning of Glycan Motifs Using Genetic Programming and Various Fitness Functions. J. Adv. Comput. Intell. Intell. Informatics 18(3): 401-408 (2014) - [c40]Haruno Kataoka, Yohei Ogawa, Isao Echizen, Tetsuji Kuboyama, Hiroshi Yoshiura:
Effects of External Information on Anonymity and Role of Transparency with Example of Social Network De-anonymisation. ARES 2014: 461-467 - [c39]Takako Hashimoto, Basabi Chakraborty, Supavadee Aramvith, Tetsuji Kuboyama, Yukari Shirota:
Affected people's needs detection after the East Japan Great Earthquake - Time series analysis using LDA. APSIPA 2014: 1-6 - [c38]Yoshinobu Kawahara, Tetsuji Kuboyama, Hiroshi Sakamoto:
Workshop on Graph-Based Algorithms for Big Data and Its Applications (GABA2014). JSAI-isAI Workshops 2014: 293-295 - [c37]Quming Jin, Masaya Nakashima, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama:
Central Point Selection in Dimension Reduction Projection Simple-Map with Binary Quantization. JSAI-isAI Workshops 2014: 310-316 - [c36]Kouichi Hirata, Tetsuji Kuboyama, Takuya Yoshino:
Mapping Kernels Between Rooted Labeled Trees Beyond Ordered Trees. JSAI-isAI Workshops 2014: 317-330 - 2013
- [j7]Masaya Nakahara, Shirou Maruyama, Tetsuji Kuboyama, Hiroshi Sakamoto:
Scalable Detection of Frequent Substrings by Grammar-Based Compression. IEICE Trans. Inf. Syst. 96-D(3): 457-464 (2013) - [c35]Takako Hashimoto, Basabi Chakraborty, Tetsuji Kuboyama, Yukari Shirota:
Temporal Awareness of Needs after East Japan Great Earthquake using Latent Semantic Analysis. EJC 2013: 200-212 - [c34]Takaharu Shimada, Issei Hamada, Kouichi Hirata, Tetsuji Kuboyama, Kouki Yonezawa, Kimihito Ito:
Clustering of Positions in Nucleotide Sequences by Trim Distance. IIAI-AAI 2013: 129-134 - [c33]Shohei Nakai, Tetsuhiro Miyahara, Tetsuji Kuboyama, Tomoyuki Uchida, Yusuke Suzuki:
Acquisition of Characteristic Tree Patterns with VLDC's by Genetic Programming and Edit Distance. IIAI-AAI 2013: 147-151 - [c32]Issei Hamada, Takaharu Shimada, Daiki Nakata, Kouichi Hirata, Tetsuji Kuboyama:
Agreement Subtree Mapping Kernel for Phylogenetic Trees. JSAI-isAI Workshops 2013: 321-336 - [c31]Kilho Shin, Tetsuji Kuboyama:
A Comprehensive Study of Tree Kernels. JSAI-isAI Workshops 2013: 337-351 - [c30]Shoichi Higuchi, Tetsuji Kuboyama, Takako Hashimoto, Kouichi Hirata:
Exploring social context from buzz marketing site - Community mapping based on tree edit distance -. PerCom Workshops 2013: 187-192 - 2012
- [j6]Yushi Nakamura, Toshihiko Horiike, Tetsuji Kuboyama, Hiroshi Sakamoto:
Extracting research communities from bibliographic data. Int. J. Knowl. Based Intell. Eng. Syst. 16(1): 25-34 (2012) - [c29]Takako Hashimoto, Tetsuji Kuboyama, Yukari Shirota:
Topic Detection about the East Japan Great Earthquake based on Emerging Modularity. EJC 2012: 110-126 - [c28]Takako Hashimoto, Tetsuji Kuboyama, Basabi Chakraborty, Yukari Shirota:
Discovering Topic Transition about the East Japan Great Earthquake in Dynamic Social Media. GHTC 2012: 259-264 - [c27]Tetsuhiro Miyahara, Tetsuji Kuboyama:
Acquisition of glycan motifs using genetic programming and various fitness functions. SCIS&ISIS 2012: 1684-1689 - [c26]Kilho Shin, Tetsuji Kuboyama:
Dynamic labeling and tree kernels with gap penalties. SCIS&ISIS 2012: 1690-1695 - 2011
- [c25]Kouichi Hirata, Yoshiyuki Yamamoto, Tetsuji Kuboyama:
Improved MAX SNP-Hard Results for Finding an Edit Distance between Unordered Trees. CPM 2011: 402-415 - [c24]Masaya Nakahara, Shirou Maruyama, Tetsuji Kuboyama, Hiroshi Sakamoto:
Scalable Detection of Frequent Substrings by Grammar-Based Compression. Discovery Science 2011: 236-246 - [c23]Takako Hashimoto, Tetsuji Kuboyama, Yukari Shirota:
Detecting Unexpected Correlation between a Current Topic and Products from Buzz Marketing Sites. DNIS 2011: 147-161 - [c22]Ryohei Saito, Tetsuji Kuboyama, Yuta Yamakawa, Hiroshi Yasuda:
Understanding User Behavior through Summarization of Window Transition Logs. DNIS 2011: 162-178 - [c21]Takako Hashimoto, Tetsuji Kuboyama, Yukari Shirota:
Graph-based Consumer Behavior Analysis from Buzz Marketing Sites. EJC 2011: 259-270 - [c20]Yukari Shirota, Takako Hashimoto, Tetsuji Kuboyama:
A Concept Model for Solving Bond Mathematics Problems. EJC 2011: 271-286 - [c19]Kilho Shin, Marco Cuturi, Tetsuji Kuboyama:
Mapping kernels for trees. ICML 2011: 961-968 - [c18]Tomotaka Okuno, Masatsugu Ichino, Tetsuji Kuboyama, Hiroshi Yoshiura:
Content-Based De-anonymisation of Tweets. IIH-MSP 2011: 53-56 - [c17]Yoshiyuki Yamamoto, Kouichi Hirata, Tetsuji Kuboyama:
On Computing Tractable Variations of Unordered Tree Edit Distance with Network Algorithms. JSAI-isAI Workshops 2011: 211-223 - [c16]Tetsuji Kuboyama, Takako Hashimoto, Yukari Shirota:
Consumer Behavior Analysis from Buzz Marketing Sites over Time Series Concept Graphs. KES (2) 2011: 73-83 - [c15]Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima:
A Subpath Kernel for Rooted Unordered Trees. PAKDD (1) 2011: 62-74 - 2010
- [j5]Taku Aratsu, Kouichi Hirata, Tetsuji Kuboyama:
Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes. Fundam. Informaticae 101(3): 157-171 (2010) - [j4]Kilho Shin, Tetsuji Kuboyama:
A Generalization of Haussler's Convolution Kernel - Mapping Kernel and Its Application to Tree Kernels. J. Comput. Sci. Technol. 25(5): 1040-1054 (2010)
2000 – 2009
- 2009
- [j3]Kilho Shin, Tetsuji Kuboyama:
Polynomial summaries of positive semidefinite kernels. Theor. Comput. Sci. 410(19): 1847-1862 (2009) - [c14]Toshihiko Horiike, Youhei Takahashi, Tetsuji Kuboyama, Hiroshi Sakamoto:
Extracting Research Communities by Improved Maximum Flow Algorithm. KES (2) 2009: 472-479 - [c13]Kazuya Sata, Kouichi Hirata, Kimihito Ito, Tetsuji Kuboyama:
Discovering Networks for Global Propagation of Influenza A (H3N2) Viruses by Clustering. KES (2) 2009: 490-497 - [c12]Taku Aratsu, Kouichi Hirata, Tetsuji Kuboyama:
Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes. SOFSEM 2009: 93-104 - 2008
- [c11]Kilho Shin, Tetsuji Kuboyama:
Kernels Based on Distributions of Agreement Subtrees. Australasian Conference on Artificial Intelligence 2008: 236-246 - [c10]Masatoshi Nagamine, Tetsuhiro Miyahara, Tetsuji Kuboyama, Hiroaki Ueda, Kenichi Takahashi:
Evolution of Multiple Tree Structured Patterns from Tree-Structured Data Using Clustering. Australasian Conference on Artificial Intelligence 2008: 500-511 - [c9]Kilho Shin, Tetsuji Kuboyama:
A generalization of Haussler's convolution kernel: mapping kernel. ICML 2008: 944-951 - [c8]Taku Aratsu, Kouichi Hirata, Tetsuji Kuboyama:
Sibling Distance for Rooted Labeled Trees. PAKDD Workshops 2008: 99-110 - [c7]Tetsuji Kuboyama, Kouichi Hirata, Kiyoko F. Aoki-Kinoshita:
An Efficient Unordered Tree Kernel and Its Application to Glycan Classification. PAKDD 2008: 184-195 - 2007
- [j2]Tetsuji Kuboyama, Kouichi Hirata, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Hiroshi Yasuda:
A Spectrum Tree Kernel. Inf. Media Technol. 2(1): 292-299 (2007) - [c6]Kilho Shin, Tetsuji Kuboyama:
Polynomial Summaries of Positive Semidefinite Kernels. ALT 2007: 313-327 - [c5]Masatoshi Nagamine, Tetsuhiro Miyahara, Tetsuji Kuboyama, Hiroaki Ueda, Kenichi Takahashi:
A Genetic Programming Approach to Extraction of Glycan Motifs Using Tree Structured Patterns. Australian Conference on Artificial Intelligence 2007: 150-159 - 2006
- [j1]Tetsuji Kuboyama, Kilho Shin, Tetsuhiro Miyahara:
A Theoretical Analysis of Tree Edit Distance Measures. Inf. Media Technol. 1(1): 242-256 (2006) - 2005
- [c4]Nobuhito Ohkura, Kouichi Hirata, Tetsuji Kuboyama, Masateru Harao:
The q-Gram Distance for Ordered Unlabeled Trees. Discovery Science 2005: 189-202 - [c3]Tetsuji Kuboyama, Kilho Shin, Tetsuhiro Miyahara, Hiroshi Yasuda:
A Theoretical Analysis of Alignment and Edit Problems for Trees. ICTCS 2005: 323-337
1990 – 1999
- 1999
- [c2]Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuji Kuboyama, Kenichi Takahashi, Hiroaki Ueda:
Discovering New Knowledge from Graph Data Using Inductive Logic Programming. ILP 1999: 222-233 - [c1]Tetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tasuya Yamamoto, Kenichi Takahashi, Hiroaki Ueda:
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System. PAKDD 1999: 438-442
Coauthor Index
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