Faculty Information, Institute for Chemical Research, Kyoto University   [ English | Japanese ]


NGUYEN, Hao Canh

Bioinformatics Center - Bio-knowledge Engineering -
Assistant Professor

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Academic career
Research field
    Current research
    Selected publications
    1. Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka, NMRPro: an integrated web component for interactive processing and visualization of NMR spectra Bioinformatics 32(13), 2067-2068 (2016)
    2. Canh Hao Nguyen, Hiroshi Mamitsuka, New Resistance Distances with Global Information on Large Graphs Proceedings of the 19th International Conference on Artificial Intelligence and Statistics 639-647 (2016)
    3. Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka, Current status and prospects of computational resources for natural product dereplication: a review Briefings in Bioinformatics 17(2), 309-321 (2016)
    4. A. Mohamed, T. Hancock, C.H. Nguyen, H. Mamitsuka, NetPathMiner: R/Bioconductor package for network path mining through gene expression Bioinformatics 30(21):3139-3141 (2014)
    5. C. H. Nguyen, N. Wicker and H. Mamitsuka, Selecting Graph Cut Solutions via Global Graph Similarity IEEE Transactions on Neural Networks and Learning Systems 25-7, 1407-1412 (2014)
    6. N. Wicker, C. H. Nguyen and H. Mamitsuka, A new dissimilarity measure for comparing labeled graphs Linear Algebra and its Applications 438-5, 2331–2338 (2013)
    7. C. H. Nguyen and H. Mamitsuka, Latent Feature Kernels for Link Prediction on Sparse Graphs IEEE Transactions on Neural Networks and Learning Systems 23-11, 1793-1804 (2012)
    8. C. H. Nguyen and H. Mamitsuka, Kernels for link prediction with latent feature models The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2) (ECML/PKDD 2011) 517-532 (2011)
    9. C. H. Nguyen and H. Mamitsuka, Discriminative graph embedding for label propagation IEEE Transactions on Neural Networks 22-9, 1395-1405 (2011)
    10. C. H. Nguyen, T. B. Ho, and V. Kreinovich, Estimating quality of support vector machines learning under probabilistic and interval uncertainty: Algorithms and computational complexity Interval / Probabilistic Uncertainty and Non-Classical Logics 57-69 (2008)
    11. C. H. Nguyen and T. B. Ho, An efficient kernel matrix evaluation measure Pattern Recognition 41-11, 3366-3372 (2008)
    12. H. Tanabe, T. B. Ho, C. H. Nguyen, and S. Kawasaki, Simple but effective methods for combining kernels in computational biology RIVF 71-78 (2008)
    13. C. H. Nguyen and T. B. Ho, Kernel matrix evaluation International Joint Conference on Artificial Intelligence (IJCAI2007) 987-992 (2007)
    14. T. B. Ho, C. H. Nguyen, S. Kawasaki, S. Q. Le, and K. Takabayashi, Exploiting temporal relations in mining hepatitis data New Generation Computing 25-3, 247-262 (2007)
    15. T. B. Ho, C. H. Nguyen, S. Kawasaki, and K. Takabayashi, Temporal relations extraction in mining hepatitis data The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2007) 523-530 (2007)
    16. C.H. Nguyen, T.B. Ho, Sampling for imbalanced data learning The International Workshop on Data-Mining and Statistical Science (DMSS2006)
    17. C. H. Nguyen and T. B. Ho, An imbalanced data rule learner The European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2005) 617-624 (2005)


    Update: Jul 18,2017