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Hiroto Saigo, Dr. (Kyoto University, Japan)

Raum Nummer:	209
Tel.:	07071-601-553
Fax:	07071-601-552
E-Mail:	hiroto.saigo

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

Hiroto Saigo

Position: Wissenschaftler Abteilung: Alumni Schölkopf

Publikationen

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 (May-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.
•	Cheng J , Saigo H und Baldi P (February-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 (May-2009) A Bayesian Approach to Graph Regression with Relevant Subgraph Selection In: SDM09, 2009 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 295-304.
•	Saigo H und Tsuda K (December-2008) Iterative Subgraph Mining for Principal Component Analysis In: ICDM 2008, IEEE International Conference on Data Mining, IEEE Computer Society, Los Alamitos, CA, USA, 1007-1012.
•	Saigo H , Krämer N und Tsuda K (August-2008) Partial Least Squares Regression for Graph Mining In: KDD2008, 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, USA, 578-586.
•	Saigo H , Kadowaki T und Tsuda K (September-2006) A Linear Programming Approach for Molecular QSAR analysis In: MLG 2006, International Workshop on Mining and Learning with Graphs 2006, 85-96.
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, , MIT Press, Cambridge, MA,, (2004).
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 (December-2007): Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism, NIPS 2007 Workshop on Machine Learning in Computational Biology, Whistler, BC, Canada.
•	Kashima H , Yamazaki K , Saigo H und Inokuchi A (October-2007): Regression with Intervals, International Workshop on Data-Mining and Statistical Science (DMSS2007), Tokyo, Japan.
•	Saigo H , Kadowaki T , Kudo T und Tsuda K (December-2006): Graph boosting for molecular QSAR analysis, NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Vancouver, BC, Canada.