Tsuyoshi Kato
Tsuyoshi Kato
Bestätigte E-Mail-Adresse bei cs.gunma-u.ac.jp - Startseite
Zitiert von
Zitiert von
Link propagation: A fast semi-supervised learning algorithm for link prediction
H Kashima, T Kato, Y Yamanishi, M Sugiyama, K Tsuda
Proceedings of the 2009 SIAM international conference on data mining, 1100-1111, 2009
Selective integration of multiple biological data for supervised network inference
T Kato, K Tsuda, K Asai
Bioinformatics 21 (10), 2488-2495, 2005
Multi-task learning via conic programming
T Kato, H Kashima, M Sugiyama, K Asai
Advances in Neural Information Processing Systems 20, 737-744, 2007
Asymmetric gaussian and its application to pattern recognition
T Kato, S Omachi, H Aso
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2002
Robust label propagation on multiple networks
T Kato, H Kashima, M Sugiyama
IEEE Transactions on Neural Networks 20 (1), 35-44, 2008
T Kakimoto, K Okada, Y Hirohashi, R Relator, M Kawai, T Iguchi, ...
Journal of Endocrinology 222, 43-51, 2014
Metric learning for enzyme active-site search
T Kato, N Nagano
Bioinformatics 26 (21), 2698-2704, 2010
Conic programming for multitask learning
T Kato, H Kashima, M Sugiyama, K Asai
IEEE Transactions on Knowledge and Data Engineering 22 (7), 957-968, 2009
Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach
H Kashima, Y Yamanishi, T Kato, M Sugiyama, K Tsuda
Bioinformatics 25 (22), 2962-2968, 2009
Classification of heterogeneous microarray data by maximum entropy kernel
W Fujibuchi, T Kato
BMC bioinformatics 8 (1), 1-10, 2007
Protein classification via kernel matrix completion
T Kin, T Kato, K Tsuda, K Asai
Genome Informatics 14, 516-517, 2003
Integration of multiple networks for robust label propagation
T Kato, H Kashima, M Sugiyama
Proceedings of the 2008 SIAM International Conference on Data Mining, 716-726, 2008
A transfer learning approach and selective integration of multiple types of assays for biological network inference
T Kato, K Okada, H Kashima, M Sugiyama
International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 1 (1 …, 2010
Application of fluorescence spectroscopy using a novel fluoroionophore for quantification of zinc in urban runoff
A Hafuka, H Yoshikawa, K Yamada, T Kato, M Takahashi, S Okabe, ...
Water research 54, 12-20, 2014
Precise hand-printed character recognition using elastic models via nonlinear transformation
T Kato, S Omchi, H Aso
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
Discriminative structural approaches for enzyme active-site prediction
T Kato, N Nagano
BMC bioinformatics 12 (1), 1-8, 2011
Network-based de-noising improves prediction from microarray data
T Kato, Y Murata, K Miura, K Asai, PB Horton, K Tsuda, W Fujibuchi
BMC bioinformatics 7 (1), 1-11, 2006
A new variational framework for rigid-body alignment
T Kato, K Tsuda, K Tomii, K Asai
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2004
An accurate prediction method for protein structural class from signal patterns of NMR spectra in the absence of chemical shift assignments
H Arai, N Tochio, T Kato, T Kigawa, M Yamamura
2010 IEEE International Conference on BioInformatics and BioEngineering, 32-37, 2010
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