| 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 | 333 | 2015 |
| 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 | 44 | 2013 |
| 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 | 39 | 2015 |
| Investigating the effectiveness of Laplacian-based kernels in hub reduction I Suzuki, K Hara, M Shimbo, Y Matsumoto, M Saerens Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1112-1118, 2012 | 29 | 2012 |
| Flattening the density gradient for eliminating spatial centrality to reduce hubness K Hara, I Suzuki, K Kobayashi, K Fukumizu, M Radovanovic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 11 | 2016 |
| Reducing hubness: A cause of vulnerability in recommender systems K Hara, I Suzuki, K Kobayashi, K Fukumizu Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 8 | 2015 |
| Centered KNN graph for semi-supervised learning I Suzuki, K Hara Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 5 | 2017 |
| Robust model selection for classification of microarrays I Suzuki, T Takenouchi, M Ohira, S Oba, S Ishii Cancer Informatics 7, CIN. S2704, 2009 | 3 | 2009 |
| Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials T Sasaki, A Nakamura, JI Harasawa, K Hara, I Suzuki, T Takahashi 2021 IEEE International Conference on Big Data (Big Data), 6014-6016, 2021 | 2 | 2021 |
| Semantic Entanglement on Verb Negation. Y Kikuchi, K Hara, I Suzuki DATA, 71-78, 2021 | 1 | 2021 |
| Impact of Duplicating Small Training Data on GANs. Y Eizuka, K Hara, I Suzuki DATA, 308-315, 2021 | 1 | 2021 |
| ラプラシアンカーネルによるハブの解消 鈴木郁美， 原一夫， 新保仁， 松本裕治 人工知能学会論文誌 28 (3), 297-310, 2013 | 1 | 2013 |
| Walk-based Computation of Contextual Word Similarity K Hara, I Suzuki, M Shimbo, Y Matsumoto Proceedings of COLING 2012, 1081-1096, 2012 | 1 | 2012 |
| A graph-based approach for biomedical thesaurus expansion I Suzuki, K Hara, M Shimbo, Y Matsumoto Proceedings of the third international workshop on Data and text mining in …, 2009 | 1 | 2009 |
| Investigating Word Vectors for the Negation of Verbs T Sasaki, Y Kikuchi, K Hara, I Suzuki SN Computer Science 5 (2), 222, 2024 | | 2024 |
| Robust Method to Convert HIRAGANA Sequences into Japanese Text T Yamaguchi, K Hara, I Suzuki 2021 IEEE International Conference on Big Data (Big Data), 6058-6060, 2021 | | 2021 |
| Study on visual machine-learning on the omnidirectional transporting robot A Zambrano, K Abe, I Suzuki, T Combelles, K Tadakuma, R Tadakuma Advanced Robotics 34 (13), 917-930, 2020 | | 2020 |
| Target Evaluation for Neural Language Model using Japanese Case Frame. K Tamura, I Suzuki, K Hara KDIR, 251-258, 2020 | | 2020 |
| Flattening the density gradient for eliminating spatial centrality to reduce hubness H Kazuo, S Ikumi, K Kei, F Kenji, R Milos Proceedings of the 30th AAAI Conference on Artificial Intelligence, 30th …, 2016 | | 2016 |
| Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto | | 2016 |
