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Miscellaneous publications

 
     
  Eisuke Ito, Takaaki Sato, Daisuke Sano, Etsuko Utagawa, Tsuyoshi Kato, Virus Particle Detection by Convolutional Neural Network in Transmission Electron Microscopy Images, Food and Environmental Virology, accepted.  
     
  Osamu Takaki, Tsuyoshi Kato, Atsuko Sugimoto, Kota Torikai, Hiroki Endo, Yuichiro Saito: Analysis of Nurse Call Data Based on the Medical Care Process, International Interdisciplinary Journal, Vol.20, No.1(B), pp.643--665, The 2016 International Conference on Science and Engineering in Biology, Medical and Public Health (BioMedPub2016), Jakarta, Oct 8-9, 2016, Best paper award.  
     
  Eisuke Ito, Yusuke Tomaru, Akira Iizuka, Hirokazu Hirai and Tsuyoshi Kato, Adaptive Local Thresholding for Co-localization Detection in Multi-Channel Fluorescence Microscopic Images, IEICE Transactions on Information & Systems, Vol.E99-D,No.11,pp.-,Nov. 2016.  
     
  Yoshihiro Hirohashi, Akira Tanaka, Makoto Yoshizawa, Norihiro Sugita, Makoto Abe, Tsuyoshi Kato, Yasuyuki Shiraishi, Hidekazu Miura, Tomoyuki Yambe, Sensorless cardiac phase detection for synchronized control of ventricular assist devices using nonlinear kernel regression model, Journal of Artificial Organs, accepted.  
     
  Akira Hafuka, Hiroaki Yoshikawa, Koji Yamada, Tsuyoshi Kato, Masahiro Takahashi, Satoshi Okabe, Hisashi Satoh, "Application of Fluorescence Spectroscopy Using a Novel Fluoroionophore for Quantification of Zinc in Urban Runoff" Water Research, accepted.  
     
  Reiji Teramoto and Tsuyoshi Kato, Transfer learning for cytochrome P450 isozyme selectivity prediction, Journal of Bioinformatics and Computational Biology, Vol. 9, No. 4, pp.521--540, 2011.  
     
  Jaak Simm, Masashi Sugiyama, and Tsuyoshi Kato,
Computationally efficient multi-task learning with least-squares probabilistic classifiers.
IPSJ Transactions on Computer Vision and Applications, Vol. 3, pp.1-8 (2011).
 
     
  Hiromi Arai, Naoya Tochio, Tsuyoshi Kato, Takanori Kigawa and Masayuki Yamamura:
An accurate prediction method for protein structural class from signal patterns of NMR spectra in the absence of chemical shift assignments,
10th International Conference on Bioinformatics and Bioengineering (BIBE-2010), pp.32-37, Philadelphia, USA (2010), Oral presentation.
 
     
  Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda:
Simultaneous Prediction of Biological Networks of Multiple Species from Genome-wide Data and Evolutionary Information: A Semi-supervised Approach,
Bioinformatics, Vol.25, No.22, pp.2962--68, 2009.
 
     
  Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda: Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction, In Proc. 2009 SIAM Conference on Data Mining (SDM), Sparks, Nevada. [pdf].  
     
 
Japanese
 
Covariance Descriptor
Mahalanobis Encodings
Mean Polynomial Kernel
Microscopic Image Analysis
Censored Data Analysis
Metric Learning
Fuzzy Subspace Clustering
Ligand Prediction
Enzyme Active-Site Search
Transfer learning for Link prediction
Multi-task learning
Label propagation
Microarray data kernels
Drug response prediction
Network inference
Kernel inference
Variational rigid-body alignment
Misc