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Hiroto Saigo, Dr. (Kyoto University, Japan)

Raum Nummer: 209

 

Bild von Saigo, Hiroto, Dr. (Kyoto University, Japan)

Hiroto Saigo

Position: Wissenschaftler  Abteilung: 

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Artikel (8):

Saigo H, Nowozin S, Kadowaki T, Kudo T und Tsuda K (November-2008) gBoost: A Mathematical Programming Approach to Graph Classification and Regression Machine Learning 75(1) 69-89.
Saigo H, Uno T und Tsuda K (September-2007) Mining complex genotypic features for predicting HIV-1 drug resistance Bioinformatics 23(18) 2455-2462.
Saigo H, Vert J-P und Akutsu T (Mai-2006) Optimizing amino acid substitution matrices with a local alignment kernel BMC Bioinformatics 7(246) 1-12.
Danziger SA, Swamidass SJ, Zeng J, Dearth LR, Lu Q, Cheng JH, Cheng JL, Hoang VP, Saigo H, Luo R, Baldi P, Brachmann RK und Lathrop RH (April-2006) Functional census of mutation sequence spaces: The example of p53 cancer rescue mutants IEEE Transactions on Computational Biology and Bioinformatics 3(2) 114-125.
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Cheng J, Saigo H und Baldi P (Februar-2006) Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching Proteins 62(3) 617-629.
Matsuda S, Vert J-P, Saigo H, Ueda N, Toh H und Akutsu T (2005) A novel representation of protein sequences for prediction of subcellular location using support vector machines Protein Science 14 2804-2813.
Ralaivola L, Swamidass JS, Saigo H und Baldi P (2005) Graph Kernels for Chemical Informatics Neural Networks 18(8) 1093-1110.
Saigo H, Vert J-P, Ueda N und Akutsu T (2004) Protein homology detection using string alignment kernels Bioinformatics 20(11) 1682-1689.

Beiträge zu Tagungsbänden (4):

Chiappa S, Saigo H und Tsuda K (Mai-2009) A Bayesian Approach to Graph Regression with Relevant Subgraph Selection, Ninth SIAM International Conference on Data Mining (SDM 2009), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 295-304.
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Saigo H und Tsuda K (Dezember-2008) Iterative Subgraph Mining for Principal Component Analysis, 8th IEEE International Conference on Data Mining (ICDM 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1007-1012.
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Saigo H, Krämer N und Tsuda K (August-2008) Partial Least Squares Regression for Graph Mining, 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), ACM Press, New York, NY, USA, 578-586.
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Saigo H, Kadowaki T und Tsuda K (September-18-2006) A Linear Programming Approach for Molecular QSAR analysis In: MLG 2006, , International Workshop on Mining and Learning with Graphs: in conjunction with ECML/PKDD 2006, Bibliothek der Universität Konstanz, Konstanz, Germany, 85-96.
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Beiträge zu Büchern (1):

Vert J-P, Saigo H und Akutsu T: Local Alignment Kernels for Biological Sequences, 131-153. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA, USA, (August-2004).

Poster (1):

Saigo H, Uno T und Tsuda K (Juli-2007): Mining complex genotypic features for predicting HIV-1 drug resistance, 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2007) & 6th European Conference on Computational Biology (ECCB 2007), Wien, Austria.

Abschlussarbeiten (1):

Saigo H: Local Alignment Kernels for Protein Homology Detection, Kyoto University, Kyoto, Japan, (2006). PhD thesis

Vorträge (3):

Saigo H, Hattori M und Tsuda K (Dezember-7-2007) Abstract Talk: Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism, NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada.
Kashima H, Yamazaki K, Saigo H und Inokuchi A (Oktober-2007) Abstract Talk: Regression with Intervals, International Workshop on Data-Mining and Statistical Science (DMSS 2007), Tokyo, Japan.
Saigo H, Kadowaki T, Kudo T und Tsuda K (Dezember-2006): Graph boosting for molecular QSAR analysis, NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Vancouver, BC, Canada.

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Last updated: Montag, 22.05.2017