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Kotaro Nakayama
Kotaro Nakayama
NABLAS Inc.
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Title
Cited by
Cited by
Year
Joint multimodal learning with deep generative models
M Suzuki, K Nakayama, Y Matsuo
arXiv preprint arXiv:1611.01891, 2016
2422016
Okutama-action: An aerial view video dataset for concurrent human action detection
M Barekatain, M Martí, HF Shih, S Murray, K Nakayama, Y Matsuo, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1912017
Wikipedia mining for an association web thesaurus construction
K Nakayama, T Hara, S Nishio
Web Information Systems Engineering–WISE 2007: 8th International Conference …, 2007
1802007
Generative adversarial nets from a density ratio estimation perspective
M Uehara, I Sato, M Suzuki, K Nakayama, Y Matsuo
arXiv preprint arXiv:1610.02920, 2016
1022016
Association thesaurus construction methods based on link co-occurrence analysis for wikipedia
M Ito, K Nakayama, T Hara, S Nishio
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
832008
A thesaurus construction method from large scaleweb dictionaries
K Nakayama, H Takahiro, S Nishio
21st International Conference on Advanced Information Networking and …, 2007
782007
An approach for extracting bilingual terminology from wikipedia
M Erdmann, K Nakayama, T Hara, S Nishio
Database Systems for Advanced Applications: 13th International Conference …, 2008
772008
Improving the extraction of bilingual terminology from Wikipedia
M Erdmann, K Nakayama, T Hara, S Nishio
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2009
722009
Improving the extraction of bilingual terminology from Wikipedia
M Erdmann, K Nakayama, T Hara, S Nishio
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2009
722009
Multi-class structural damage segmentation using fully convolutional networks
JJ Rubio, T Kashiwa, T Laiteerapong, W Deng, K Nagai, S Escalera, ...
Computers in Industry 112, 103121, 2019
602019
Wikipedia-based semantic similarity measurements for noisy short texts using extended naive bayes
M Shirakawa, K Nakayama, T Hara, S Nishio
IEEE Transactions on Emerging Topics in Computing 3 (2), 205-219, 2015
592015
UAV-based situational awareness system using deep learning
R Geraldes, A Goncalves, T Lai, M Villerabel, W Deng, A Salta, ...
IEEE access 7, 122583-122594, 2019
582019
Wikipedia Link Structure and Text Mining for Semantic Relation Extraction.
K Nakayama, T Hara, S Nishio
SemSearch, 59-73, 2008
572008
Vision based pixel-level bridge structural damage detection using a link ASPP network
W Deng, Y Mou, T Kashiwa, S Escalera, K Nagai, K Nakayama, Y Matsuo, ...
Automation in Construction 110, 102973, 2020
482020
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training.
Y Iwasawa, K Nakayama, I Yairi, Y Matsuo
IJCAI, 1930-1936, 2017
452017
Wikipedia mining
K Nakayama, M Pei, M Erdmann, M Ito, M Shirakawa, T Hara, S Nishio
Wikimania. Wikimedia, 2008
442008
Wikipedia mining
K Nakayama, M Pei, M Erdmann, M Ito, M Shirakawa, T Hara, S Nishio
Wikimania. Wikimedia, 2008
442008
Constructing a global ontology by concept mapping using wikipedia thesaurus
M Pei, K Nakayama, T Hara, S Nishio
22nd International Conference on Advanced Information Networking and …, 2008
422008
Concept vector extraction from Wikipedia category network
M Shirakawa, K Nakayama, T Hara, S Nishio
Proceedings of the 3rd International Conference on Ubiquitous Information …, 2009
272009
Wikipedia マイニングによるシソーラス辞書の構築手法
中山浩太郎, 原隆浩, 西尾章治郎
情報処理学会論文誌 47 (10), 2917-2928, 2006
252006
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Articles 1–20