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Nobuhisa Ueda
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2000 – 2009
- 2008
- [j7]Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita
, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology. ACM Trans. Knowl. Discov. Data 2(1): 6:1-6:30 (2008) - 2006
- [c8]Kiyoko F. Aoki-Kinoshita
ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains. ISMB (Supplement of Bioinformatics) 2006: 25-34 - [c7]Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita
A new efficient probabilistic model for mining labeled ordered trees. KDD 2006: 177-186 - 2005
- [j6]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu
Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. J. Chem. Inf. Model. 45(4): 939-951 (2005) - [j5]Nobuhisa Ueda, Kiyoko F. Aoki-Kinoshita
A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains. IEEE Trans. Knowl. Data Eng. 17(8): 1051-1064 (2005) - 2004
- [j4]Hiroto Saigo
Protein homology detection using string alignment kernels. Bioinform. 20(11): 1682-1689 (2004) - [j3]Jose C. Nacher, Nobuhisa Ueda, Takuji Yamada, Minoru Kanehisa, Tatsuya Akutsu
Clustering under the line graph transformation: application to reaction network. BMC Bioinform. 5: 207 (2004) - [j2]Kiyoko F. Aoki
KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains. Nucleic Acids Res. 32(Web-Server-Issue): 267-272 (2004) - [j1]Kiyoko F. Aoki
Managing and Analyzing Carbohydrate Data. SIGMOD Rec. 33(2): 33-38 (2004) - [c6]Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert
Extensions of marginalized graph kernels. ICML 2004 - [c5]Kiyoko F. Aoki
Application of a new probabilistic model for recognizing complex patterns in glycans. ISMB/ECCB (Supplement of Bioinformatics) 2004: 6-14 - [c4]Nobuhisa Ueda, Kiyoko F. Aoki, Hiroshi Mamitsuka
A General Probabilistic Framework for Mining Labeled Ordered Trees. SDM 2004: 357-368 - 2003
- [c3]Morihiro Hayashida, Nobuhisa Ueda, Tatsuya Akutsu:
Inferring strengths of protein-protein interactions from experimental data using linear programming. ECCB 2003: 58-65 - 2001
- [c2]Nobuhisa Ueda, Taisuke Sato
Simplified Training Algorithms for Hierarchical Hidden Markov Models. Discovery Science 2001: 401-415
1990 – 1999
- 1999
- [c1]Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato
A Graphical Method for Parameter Learning of Symbolic-Statistical Models. Discovery Science 1999: 264-276
Coauthor Index
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