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ORCIDIkumi Suzuki
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2020 – today
- 2024
[j2]Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara
, Ikumi Suzuki:
Investigating Word Vectors for the Negation of Verbs. SN Comput. Sci. 5(2): 222 (2024)- 2021
- [c16]Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi:
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. IEEE BigData 2021: 6014-6016 - [c15]Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki:
Robust Method to Convert HIRAGANA Sequences into Japanese Text. IEEE BigData 2021: 6058-6060 - [c14]Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki:
Semantic Entanglement on Verb Negation. DATA 2021: 71-78 - [c13]Yuki Eizuka, Kazuo Hara, Ikumi Suzuki:
Impact of Duplicating Small Training Data on GANs. DATA 2021: 308-315 - 2020
- [j1]Adrian Zambrano, Kazuki Abe, Ikumi Suzuki, Theo Combelles, Kenjiro Tadakuma, Riichiro Tadakuma:
Study on visual machine-learning on the omnidirectional transporting robot. Adv. Robotics 34(13): 917-930 (2020) - [c12]Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara:
Target Evaluation for Neural Language Model using Japanese Case Frame. KDIR 2020: 251-258
2010 – 2019
- 2017
- [c11]Ikumi Suzuki, Kazuo Hara:
Centered kNN Graph for Semi-Supervised Learning. SIGIR 2017: 857-860 - 2016
- [c10]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. AAAI 2016: 1659-1665 - 2015
- [c9]Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Localized Centering: Reducing Hubness in Large-Sample Data. AAAI 2015: 2645-2651 - [c8]Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Ridge Regression, Hubness, and Zero-Shot Learning. ECML/PKDD (1) 2015: 135-151 - [c7]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu:
Reducing Hubness: A Cause of Vulnerability in Recommender Systems. SIGIR 2015: 815-818 - [c6]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Reducing Hubness for Kernel Regression. SISAP 2015: 339-344 - [i1]Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Ridge Regression, Hubness, and Zero-Shot Learning. CoRR abs/1507.00825 (2015) - 2014
- [c5]Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, Isamu Muto:
Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction. KDIR 2014: 342-347 - 2013
- [c4]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu:
Centering Similarity Measures to Reduce Hubs. EMNLP 2013: 613-623 - 2012
- [c3]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens:
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. AAAI 2012: 1112-1118 - [c2]Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto:
Walk-based Computation of Contextual Word Similarity. COLING 2012: 1081-1096
2000 – 2009
- 2009
- [c1]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
A graph-based approach for biomedical thesaurus expansion. DTMBIO 2009: 79-82
Coauthor Index
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