Nobuhisa Ueda

According to our database, Nobuhisa Ueda authored at least 15 papers between 1999 and 2008.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2008

A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology.

Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka

ACM Trans. Knowl. Discov. Data, 2008

2006

A new efficient probabilistic model for mining labeled ordered trees.

Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains.

Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Hiroshi Mamitsuka, Minoru Kanehisa

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005

A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains.

Nobuhisa Ueda, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, Tatsuya Akutsu, Hiroshi Mamitsuka

IEEE Trans. Knowl. Data Eng., 2005

Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines.

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert

J. Chem. Inf. Model., 2005

2004

Managing and Analyzing Carbohydrate Data.

Kiyoko F. Aoki, Nobuhisa Ueda, Atsuko Yamaguchi, Tatsuya Akutsu, Minoru Kanehisa, Hiroshi Mamitsuka

SIGMOD Rec., 2004

KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains.

Kiyoko F. Aoki, Atsuko Yamaguchi, Nobuhisa Ueda, Tatsuya Akutsu, Hiroshi Mamitsuka, Susumu Goto, Minoru Kanehisa

Nucleic Acids Res., 2004

Clustering under the line graph transformation: application to reaction network.

Jose C. Nacher, Nobuhisa Ueda, Takuji Yamada, Minoru Kanehisa, Tatsuya Akutsu

BMC Bioinform., 2004

Protein homology detection using string alignment kernels.

Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu

Bioinform., 2004

A General Probabilistic Framework for Mining Labeled Ordered Trees.

Nobuhisa Ueda, Kiyoko F. Aoki, Hiroshi Mamitsuka

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Application of a new probabilistic model for recognizing complex patterns in glycans.

Kiyoko F. Aoki, Nobuhisa Ueda, Atsuko Yamaguchi, Minoru Kanehisa, Tatsuya Akutsu, Hiroshi Mamitsuka

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Extensions of marginalized graph kernels.

Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert

Proceedings of the Machine Learning, 2004

2003

Inferring strengths of protein-protein interactions from experimental data using linear programming.

Morihiro Hayashida, Nobuhisa Ueda, Tatsuya Akutsu

Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2001

Simplified Training Algorithms for Hierarchical Hidden Markov Models.

Nobuhisa Ueda, Taisuke Sato

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

1999

A Graphical Method for Parameter Learning of Symbolic-Statistical Models.

Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato

Proceedings of the Discovery Science, 1999