Nobuhisa Ueda

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. TKDD 2(1) (2008)

Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Hiroshi Mamitsuka, Minoru Kanehisa: ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains. ISMB (Supplement of Bioinformatics) 2006: 25-34

Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka: A new efficient probabilistic model for mining labeled ordered trees. KDD 2006: 177-186

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert: Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. Journal of Chemical Information and Modeling 45(4): 939-951 (2005)

Nobuhisa Ueda, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, Tatsuya Akutsu, Hiroshi Mamitsuka: A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains. IEEE Trans. Knowl. Data Eng. 17(8): 1051-1064 (2005)

Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu: Protein homology detection using string alignment kernels. Bioinformatics 20(11): 1682-1689 (2004)

Jose C. Nacher, Nobuhisa Ueda, Takuji Yamada, Minoru Kanehisa, Tatsuya Akutsu: Clustering under the line graph transformation: application to reaction network. BMC Bioinformatics 5: 207 (2004)

Kiyoko F. Aoki, Atsuko Yamaguchi, Nobuhisa Ueda, Tatsuya Akutsu, Hiroshi Mamitsuka, Susumu Goto, Minoru Kanehisa: KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains. Nucleic Acids Research 32(Web-Server-Issue): 267-272 (2004)

Kiyoko F. Aoki, Nobuhisa Ueda, Atsuko Yamaguchi, Tatsuya Akutsu, Minoru Kanehisa, Hiroshi Mamitsuka: Managing and Analyzing Carbohydrate Data. SIGMOD Record 33(2): 33-38 (2004)

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert: Extensions of marginalized graph kernels. ICML 2004

Kiyoko F. Aoki, Nobuhisa Ueda, Atsuko Yamaguchi, Minoru Kanehisa, Tatsuya Akutsu, Hiroshi Mamitsuka: Application of a new probabilistic model for recognizing complex patterns in glycans. ISMB/ECCB (Supplement of Bioinformatics) 2004: 6-14

Nobuhisa Ueda, Kiyoko F. Aoki, Hiroshi Mamitsuka: A General Probabilistic Framework for Mining Labeled Ordered Trees. SDM 2004

Morihiro Hayashida, Nobuhisa Ueda, Tatsuya Akutsu: Inferring strengths of protein-protein interactions from experimental data using linear programming. ECCB 2003: 58-65

Nobuhisa Ueda, Taisuke Sato: Simplified Training Algorithms for Hierarchical Hidden Markov Models. Discovery Science 2001: 401-415

Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato: A Graphical Method for Parameter Learning of Symbolic-Statistical Models. Discovery Science 1999: 264-276