| Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto arXiv preprint arXiv:1706.05674, 2017 | 382 | 2017 |
| Mining words in the minds of second language learners for learner-specific word difficulty Y Ehara, I Sato, H Oiwa, H Nakagawa Journal of Information Processing 26, 267-275, 2018 | 55 | 2018 |
| The economic impact of herd behavior in the Japanese loan market R Nakagawa, H Oiwa, F Takeda Pacific-Basin Finance Journal 20 (4), 600-613, 2012 | 40 | 2012 |
| Formalizing word sampling for vocabulary prediction as graph-based active learning Y Ehara, Y Miyao, H Oiwa, I Sato, H Nakagawa Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 37 | 2014 |
| Partition-wise linear models H Oiwa, R Fujimaki Advances in Neural Information Processing Systems 27, 2014 | 25 | 2014 |
| Knowledge base completion with out-of-knowledge-base entities: A graph neural network approach T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto Transactions of the Japanese Society for Artificial Intelligence 33 (2), F-H72, 2018 | 12 | 2018 |
| Scalable semantic querying of text X Wang, A Feng, B Golshan, A Halevy, G Mihaila, H Oiwa, WC Tan arXiv preprint arXiv:1805.01083, 2018 | 7 | 2018 |
| Feature-aware regularization for sparse online learning H Oiwa, S Matsushima, H Nakagawa Science China Information Sciences 57, 1-21, 2014 | 6 | 2014 |
| Frequency-aware truncated methods for sparse online learning H Oiwa, S Matsushima, H Nakagawa Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 6 | 2011 |
| A lightweight front-end tool for interactive entity population H Oiwa, Y Suhara, J Komiya, A Lopatenko arXiv preprint arXiv:1708.00481, 2017 | 4 | 2017 |
| Understanding seed selection in bootstrapping Y Ehara, I Sato, H Oiwa, H Nakagawa Proceedings of TextGraphs-8 graph-based methods for natural language …, 2013 | 4 | 2013 |
| Healing Truncation Bias: Self-weighted Truncation Framework for Dual Averaging H Oiwa, S Matsushima, H Nakagawa Data Mining (ICDM), 2012 IEEE 12th International Conference on, 575-584, 2012 | 4 | 2012 |
| A Comparison of Entity Matching Methods between English and Japanese Katakana M Yamashita, H Awashima, H Oiwa Proceedings of the Fifteenth Workshop on Computational Research in Phonetics …, 2018 | 2 | 2018 |
| Knowledge Base Completion with Out-of-Knowledge-Base Entities: A Graph Neural Network Approach 未知エンティティを伴う知識ベース補完: グラフニューラルネットワークを用いたアプローチ T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto | | 2018 |
| Online and stochastic learning with a human cognitive bias H Oiwa, H Nakagawa Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | | 2014 |
| Common Space Embedding of Primal-Dual Relation Semantic Spaces H Oiwa, J Tsujii 25th International Conference on Computational Linguistics, 2014 | | 2014 |
| Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle J Komiyama, H Oiwa, H Nakagawa Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | | 2014 |
| Novel Sparse Modeling by L2+ L0 Regularization H Oiwa, I Sato, H Nakagawa NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning …, 2013 | | 2013 |
| 特徴の出現回数に応じたL1正則化を実現する教師ありオンライン学習手法 大岩秀和， 松島慎， 中川裕志 情報処理学会論文誌数理モデル化と応用 (TOM) 4 (3), 84-93, 2011 | | 2011 |
| The role of surgery in cases of diagnostic difficulty K Murakami, T Katayama, H Komatsu, Y Sagara, K Hayashi, H Oiwa Kekkaku:[Tuberculosis] 66 (11), 757-761, 1991 | | 1991 |
