| 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 | 430 | 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 | 359 | 2015 |
| Algorithms and models for network data and link analysis F Fouss, M Saerens, M Shimbo Cambridge University Press, 2016 | 147 | 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 | 131 | 2008 |
| 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 | 116 | 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 | 114 | 2011 |
| 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 | 113 | 2005 |
| Controlling the learning process of real-time heuristic search M Shimbo, T Ishida Artificial Intelligence 146 (1), 1-41, 2003 | 108 | 2003 |
| 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 | 106 | 2014 |
| 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 | 83 | 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 | 68 | 2008 |
| 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 | 51 | 2018 |
| 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 | 51 | 2011 |
| 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 | 49 | 2013 |
| A discriminative learning model for coordinate conjunctions M Shimbo, K Hara Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 45 | 2007 |
| 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 | 41 | 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 | 40 | 2008 |
| 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 | 39 | 2009 |
| Improving the learning efficiencies of realtime search T Ishida, M Shimbo Proceedings of the 1996 13th National Conference on Artificial Intelligence …, 1996 | 36 | 1996 |
| Modeling and learning semantic co-compositionality through prototype projections and neural networks M Tsubaki, K Duh, M Shimbo, Y Matsumoto Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 33 | 2013 |
Yuji MatsumotoTeam Leader, RIKEN Center for Advanced Intelligence Projectכתובת אימייל מאומתת בדומיין is.naist.jp
