Masashi Shimbo
Masashi Shimbo
STAIR Lab, Chiba Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach
T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto
Proceedings of the 26th International Joint Conferences on Artificial …, 2017
Ridge regression, hubness, and zero-shot learning
Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Algorithms and models for network data and link analysis
F Fouss, M Saerens, M Shimbo
Cambridge University Press, 2016
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
L Yen, M Saerens, A Mantrach, M Shimbo
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Application of kernels to link analysis
T Ito, M Shimbo, T Kudo, Y Matsumoto
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
On the equivalence of holographic and complex embeddings for link prediction
K Hayashi, M Shimbo
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Using the mutual k-nearest neighbor graphs for semi-supervised classification on natural language data
K Ozaki, M Shimbo, M Komachi, Y Matsumoto
Proceedings of the fifteenth conference on computational natural language …, 2011
Developments in the theory of randomized shortest paths with a comparison of graph node distances
I Kivimäki, M Shimbo, M Saerens
Physica A: Statistical Mechanics and its Applications 393, 600-616, 2014
Controlling the learning process of real-time heuristic search
M Shimbo, T Ishida
Artificial Intelligence 146 (1), 1-41, 2003
The sum-over-paths covariance kernel: A novel covariance measure between nodes of a directed graph
A Mantrach, L Yen, J Callut, K Francoisse, M Shimbo, M Saerens
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1112-1126, 2009
Graph-based analysis of semantic drift in Espresso-like bootstrapping algorithms
M Komachi, T Kudo, M Shimbo, Y Matsumoto
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
Semi-supervised classification and betweenness computation on large, sparse, directed graphs
A Mantrach, N Van Zeebroeck, P Francq, M Shimbo, H Bersini, M Saerens
Pattern recognition 44 (6), 1212-1224, 2011
A discriminative learning model for coordinate conjunctions
M Shimbo, K Hara
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
Citation recommendation using distributed representation of discourse facets in scientific articles
Y Kobayashi, M Shimbo, Y Matsumoto
Proceedings of the 18th ACM/IEEE on joint conference on digital libraries …, 2018
Centering similarity measures to reduce hubs
I Suzuki, K Hara, M Shimbo, M Saerens, K Fukumizu
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
Coordinate structure analysis with global structural constraints and alignment-based local features
K Hara, M Shimbo, H Okuma, Y Matsumoto
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
Localized centering: Reducing hubness in large-sample data
K Hara, I Suzuki, M Shimbo, K Kobayashi, K Fukumizu, M Radovanović
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Generic text summarization using probabilistic latent semantic indexing
H Bhandari, M Shimbo, T Ito, Y Matsumoto
Proceedings of the Third International Joint Conference on Natural Language …, 2008
Improving the learning efficiencies of realtime search
T Ishida, M Shimbo
Proceedings of the thirteenth national conference on Artificial intelligence …, 1996
Using sectioning information for text retrieval: a case study with the medline abstracts
M Shimbo, T Yamasaki, Y Matsumoto
Proceedings of Second International Workshop on Active Mining (AM'03), 2003
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