Mahito Sugiyama
Title
Cited by
Cited by
Year
Rapid distance-based outlier detection via sampling
M Sugiyama, K Borgwardt
Advances in Neural Information Processing Systems, 467-475, 2013
892013
Efficient network-guided multi-locus association mapping with graph cuts
CA Azencott, D Grimm, M Sugiyama, Y Kawahara, KM Borgwardt
Bioinformatics 29 (13), i171-i179, 2013
602013
Halting in random walk kernels
M Sugiyama, K Borgwardt
Advances in neural information processing systems, 1639-1647, 2015
482015
Fast and memory-efficient significant pattern mining via permutation testing
F Llinares-López, M Sugiyama, L Papaxanthos, K Borgwardt
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
452015
Significant Subgraph Mining with Multiple Testing Correction
M Sugiyama, F Llinares-López, N Kasenburg, KM Borgwardt
2015 SIAM International Conference on Data Mining, 37-45, 2015
312015
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits
F Llinares-López, DG Grimm, DA Bodenham, U Gieraths, M Sugiyama, ...
Bioinformatics 31 (12), i240-i249, 2015
262015
graphkernels: R and Python packages for graph comparison
M Sugiyama, ME Ghisu, F Llinares-López, K Borgwardt
Bioinformatics 34 (3), 530-532, 2018
252018
Multi-Task Feature Selection on Multiple Networks via Maximum Flows
M Sugiyama, CA Azencott, D Grimm, Y Kawahara, K Borgwardt
2014 SIAM International Conference on Data Mining, 199-207, 2014
142014
Tensor balancing on statistical manifold
M Sugiyama, H Nakahara, K Tsuda
arXiv preprint arXiv:1702.08142, 2017
112017
Measuring Statistical Dependence via the Mutual Information Dimension
M Sugiyama, KM Borgwardt
The 23rd International Joint Conference on Artificial Intelligence (IJCAI …, 2013
102013
A Fast and Flexible Clustering Algorithm Using Binary Discretization
M Sugiyama, A Yamamoto
2011 IEEE 11th International Conference on Data Mining (ICDM), 1212-1217, 2011
92011
Information decomposition on structured space
M Sugiyama, H Nakahara, K Tsuda
2016 IEEE International Symposium on Information Theory (ISIT), 575-579, 2016
82016
Mining significant subgraphs with multiple testing correction
M Sugiyama, FL López, N Kasenburg, KM Borgwardt
SIAM Data Mining (SDM), 2015
62015
Significant Pattern Mining on Continuous Variables
M Sugiyama, KM Borgwardt
arXiv preprint arXiv:1702.08694, 2017
42017
Learning figures with the Hausdorff metric by fractals—towards computable binary classification
M Sugiyama, E Hirowatari, H Tsuiki, A Yamamoto
Machine learning 90 (1), 91-126, 2013
42013
Learning figures with the hausdorff metric by fractals
M Sugiyama, E Hirowatari, H Tsuiki, A Yamamoto
International Conference on Algorithmic Learning Theory, 315-329, 2010
42010
Bias-variance trade-off in hierarchical probabilistic models using higher-order feature interactions
S Luo, M Sugiyama
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4488-4495, 2019
32019
Semi-supervised learning for mixed-type data via formal concept analysis
M Sugiyama, A Yamamoto
International Conference on Conceptual Structures, 284-297, 2011
32011
The coding divergence for measuring the complexity of separating two sets
M Sugiyama, A Yamamoto
Proceedings of 2nd Asian Conference on Machine Learning, 127-143, 2010
32010
Learning graph representation via formal concept analysis
Y Yoneda, M Sugiyama, T Washio
arXiv preprint arXiv:1812.03395, 2018
22018
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Articles 1–20