Article Index

Publications 2009

Journal papers 

  • Yoshimoto, J., Sato, M., and Ishii, S. (to appear)
    Bayesian normalized Gaussian network and hierarchical model selection method.
    Intelligent Automation and Soft Computing.
  • Yoshida, W., Funakoshi, H., and Ishii, S. (to appear)
    Hierarchical rule switching in prefrontal cortex.
    NeuroImage.
  • Kanemura, A., Maeda, S., and Ishii, S. (2010)
    Sparse Bayesian learning of filters for efficient image expansion.
    IEEE Transactions on Image Processing. 19(6), pp. 1480-1490.
  • Shibata, K., Yamagishi, N., Ishii, S., and Kawato, M. (2009)
    Boosting perceptual learning by fake feedback.
    Vision Research, 49(21), pp.2574-2585.
  • Oba, S. and Ishii,S. (2009)  
    Differential gene detection incorporating common expression patterns.
    Journal of Physics: Conference Series, 197, p. 012007.
  • Kanemura, A., Maeda, S., and Ishii, S. (2009)
    Superresolution with compound Markov random fields via the variational EM algorithm.
    Neural Networks, 22(7), pp. 1025-1034.
  • Maeda, S. and Ishii, S. (2009)
    Learning a multidimensional companding function for lossy source coding.
    Neural Networks, 22(7), pp. 998-1010.
  • Takenouchi, T., and Ishii, S. (2009)
    A multi-class classification method based on decoding of binary classifiers.
    Neural Computation, 21(7), pp.2049-2081.
  • Suzuki, I., Takenouchi, T., Ohira, M., Oba, S., and Ishii, S. (2009)
    Robust model selection for classification of microarrays.
    Cancer Informatics, 7, pp. 141-157.
  • Oba, S., and Ishii, S. (2009)
    Optimal sufficient statistics for parametric and non-parametric multiple simultaneous hypothesis testing.
    International Journal of Biostatistics, 5(1), 20.
  • Yukinawa, N., Yoshioka, T., Kobayashi, K., Ogasawara, N., and Ishii, S. (2009)
    A constrained Gaussian mixture model forcorrelation-based cluster analysis of gene expression data.
    IPSJ Transactions on Bioinformatics, 2, pp. 47-62.
  • Yu, M., Ohira, M., Li, M., Niizuma, H., Oo, M., Zhu, Y., Ozaki, Y., Isogai, E., Nakamura, Y., Koda, T., Oba, S., Yu, B. and Nakagawara, A. (2009)
    High expression of ncRAN, a novel non-coding RNA mapped to chromosome 17q25.1, is associated with poor prognosis in neuroblastoma.
    International Journal of Oncology, 34, pp. 931-938.
  • Shirahata, M., Oba, S., Iwao-Koizumi, K., Saito, S., Ueno, N., Oda, M., Hashimoto, M., Ishii, S, Takahashi, J. A. and Kato, K. (2009)
    Using gene expression profiling to identify a prognostic molecular spectrum in gliomas.
    Cancer Science, 100(1), pp. 165-172.
  • Yukinawa, N., Oba, S., Kato, K., and Ishii, S.  (2009)
    Optimal aggregation of binary classifiers for multi-class cancer diagnosis using gene expression profiles.
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6(2), pp. 333-343.

Conference papers

  • W. Fukuda, S. Maeda, A. Kanemura, and S. Ishii. (2010.3)
    Bayesian X-ray computed tomography using material class knowledge.
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2126-2129, Dallas, TX, USA.
  • Fukuda, W., Maeda, S., Kanemura, A., and Ishii, S. (2010)
    X-ray computed tomography using material-class modeling by Markov random field minimization.
    International Symposium on Artificial Life and Robotics (AROB). pp. 662-665.
  • Hotta, S., Oba, S., and Ishii, S. (2010)
    Visual attention model involving feature-based inhibition of return.
    International Symposium on Artificial Life and Robotics (AROB). pp. 533-536.
  • Nishioka, S. Maeda, S., and Ishii, S. (2010)
    Machine learning approach to 9-dof arm robot control.
    International Symposium on Artificial Life and Robotics (AROB). pp.282-285.
  • Fukuda, W., Kanemura, A., Maeda, S., and Ishii, S. (2009)
    Superresolution from occluded scenes.
    International Conference on Neural Information Processing (ICONIP), Lecture Notes in Computer Science, 5864,  pp. 19-27.
  • Tomizawa, H., Maeda, S., and Ishii, S. (2009)
    Learning of Go board state evaluation function by artificial neural network.
    International Conference on Neural Information Processing (ICONIP), Lecture Notes in Computer Science, 5863, pp. 598-605.
  • Mori, T. and Ishii, S. (2009)
    Robust approximation in decomposed reinforcement learning.
    International Conference on Neural Information Processing (ICONIP), Lecture Notes in Computer Science, 5863, pp. 590-597.
  • Kanemura, A., Maeda, S., and Ishii, S. (2009)
    Learning color image expansion filters.
    IEEE International Conference on Image Processing (ICIP), pp. 357-360.
  • Oba, S. and Ishii, S. (2009)
    Differential gene detection incorporating common expression patterns.
    International Workshop on Statistical-Mechanical Informatics (IW-SMI).
  • Ueno T, Maeda, S., Kawanabe, M., and Ishii, S.(2009)
    Optimal online learning procedures for model-free policy evaluation.
    European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Lecture Notes in Artificial Intelligence, 5782, pp. 473-488.
  • Mori, T. and Ishii, S.(2009)
    An additive reinforcement learning.
    International Conference on Artificial Neural Networks (ICANN), Lecture Notes in Computer Science, 5768, pp. 608-617.
  • Hayashi, K., Hirayama, J., and Ishii, S. (2009)
    Dynamic exponential family matrix factorization.
    The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Lecture Notes in Computer Science, 5476, pp. 452-462.