Tsuyoshi Kato
Tsuyoshi Kato
Verified email at - Homepage
Cited by
Cited by
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
Multi-task learning via conic programming
T Kato, H Kashima, M Sugiyama, K Asai
Advances in Neural Information Processing Systems 20, 2007
Selective integration of multiple biological data for supervised network inference
T Kato, K Tsuda, K Asai
Bioinformatics 21 (10), 2488-2495, 2005
Asymmetric gaussian and its application to pattern recognition
T Kato, S Omachi, H Aso
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2002
Robust label propagation on multiple networks
T Kato, H Kashima, M Sugiyama
IEEE Transactions on Neural Networks 20 (1), 35-44, 2008
Automated image analysis of a glomerular injury marker desmin in spontaneously diabetic Torii rats treated with losartan
T Kakimoto, K Okada, Y Hirohashi, R Relator, M Kawai, T Iguchi, ...
J Endocrinol 222 (1), 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, 1-10, 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
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
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
Discriminative structural approaches for enzyme active-site prediction
T Kato, N Nagano
BMC bioinformatics 12, 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, 1-11, 2006
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
A new variational framework for rigid-body alignment
T Kato, K Tsuda, K Tomii, K Asai
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 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
The system can't perform the operation now. Try again later.
Articles 1–19