Publications
International Journals, Conferences and Workshops:
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Kenya Sakka, Kotaro Nakayama, Nisei Kimura, Taiki Inoue, Yusuke Iwasawa, Ryohei Yamaguchi, Yoshimasa Kawazoe, Kazuhiko Ohe, Yutaka Matsuo, Character-Level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis, Journal of Explainable AI in Healthcare and Medicine, Springer, pp. 147-153, 2021.
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Wenlong Deng, Yongli Mou, Takahiro Kashiwa, Sergio Escalera, Kohei Nagai, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger, Vision based pixel-level bridge structural damage detection using a link ASPP network, Journal of Automation in Construction, Elsevier, Vol. 110, pp. 10293, 2020.
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Juan Jose Rubio, Takahiro Kashiwa, Teera Laiteerapong, Wenlong Deng, Kohei Nagai, Sergio Escalera, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger, Multi-class structural damage segmentation using fully convolutional networks, Journal of Computers in Industry, Elsevier, Vol. 112, pp. 103121, 2019.
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Ruben Geraldes, Artur Goncalves, Tin Lai, Mathias Villerabel, Wenlong Deng, Ana Salta, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger, UAV-based situational awareness system using deep learning, IEEE Access, Vol. 7, pp. 122583-122594, IEEE, 2019.
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A. R. A. Ghani, K. Nishanth, Ai Nakajima, N. Kimura, P. Radkohl, S. Iwai, Y. Kawazoe, Y. Iwasawa, K. Nakayama, Y. Matsuo: An analysis of human gaze data for autonomous medical image diagnostics, The 28th Annual Conference of the Japanese Neural Network Society (JNNS), Workshop, 2018.
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M. Suzuki, K. Nakayama, Y. Matsuo. Improving Bi-directional Generation between Different Modalities with Variational Autoencoders. CoRR abs/1801.08702 (2018)
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Joji Toyama, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: Expert-based reward function training: the novel method to train sequence generators, International Conference of Learning Representation (ICLR18) Workshop, 2018.
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A.R. A.Ghani, N. Koganti, A. Solano, Y. Iwasawa, K. Nakayama, Y. Matsuo: Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision, International Conference of Learning Representation (ICLR18) Workshop, 2018.
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Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: Censoring Representations with Multiple-Adversaries over Random Subspaces, International Conference of Learning Representation (ICLR18) Workshop, 2018.
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Nishanth Koganti, Abdul R. A. Ghani, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: “Virtual Reality as a User-friendly Interface for Learning from Demonstrations.” Demonstrations Track, Conference on Human Factors in Computing Systems, (CHI). Montreal, Canada, April 21-26, 2018.
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Naoki Nonaka, Kotaro Nakayama, Yutaka Matsuo: “Contents Popularity Prediction by Vector Representation
Learned from User Action History.” DATA ANALYTICS 2017 (2017). -
Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi and Yutaka Matsuo: Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training, The 26th International Joint Conference on Artificial Intelligence (IJCAI2017), August19–25, Melbourne, Australia, 2017.
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Mohammadamin Barekatain, Miquel Marti, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo and Helmut Prendinger: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection, BMTT-PETS Workshop on Tracking and Surveillance (CVPR Workshops).
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Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: Joint Multimodal Learning with Deep Generative Models, ICLR 2017 workshop, April24–26, 2017, Toulon, France.
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Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: b-GAN: New Framework of Generative Adversarial Networks, Workshop on Adversarial Training, NIPS 2016, December5–10, Barcelona, Spain.
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Ai Nakajima, Michael Bawiec, Kotaro Nakayama and Hideyuki Horii, The Development of APISNOTE a Digital Sticky Note System for Information Structuring, International Conference for Asia Digital Art and Design (ADADA), 2016.
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Masumi Shirakawa, Kotaro Nakayama, Takahiro Hara, Shojiro Nishio, Wikipedia-Based Semantic Similarity Measurements for Noisy Short Texts Using Extended Naive Bayes, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 3(2): 205-219, 2015.
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K. Nakayama and Y. Matsuo. Migsom: A som algorithm for large scale hyperlinked documents inspired by neuronal migration. In Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), pages 79-95, April 2014.
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Masumi Shirakawa, Kotaro Nakayama, Eiji Aramaki, Takahiro Hara, Shojiro Nishio: Collecting Conceptualized Relations from Terabytes of Web Texts for Understanding Unknown Terms, IEEE/WIC/ACM International Conference on Web Intelligence (WI 2014), 86-93, 2013.
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Masumi Shirakawa, Kotaro Nakayama, Takahiro Hara, Shojiro Nishio:
Probabilistic semantic similarity measurements for noisy short texts using Wikipedia entities. ACM International Confeference on Information and Knowledge Management (CIKM 2013), 903-908, (2013). -
Masumi Shirakawa, Kotaro Nakayama, Takahiro Hara, and Shojiro Nishio, Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words, IEEE/WIC/ACM International Confeference on Web Intelligence (WI 2011), volume 1, pages 274-277, (2011).
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M. Ito, K. Nakayama, T. Hara, and S. Nishio. Semantic relatedness measurement based on wikipedia link co-occurrence analysis. International Journal of Web Information Systems (IJWIS), 7(1):44-61, 2011.
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K. Nakayama and Y. Matsuo. A self organizing document map algorithm for large scale hyperlinked data inspired by neuronal migration. In Proceedings of International World Wide Web Conference (WWW) Poster, pages 95-96, March 2011.
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M. Shirakawa, K. Nakayama, T. Hara, and S. Nishio. Relation extraction between related concepts by combining wikipedia and web information for japanese language. In Proceedings of Asia Information Retrieval Societies Conference (AIRS), December 2010.
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M. Erdmann, K. Nakayama, E. Aramaki, T. Hara, and S. Nishio. Using an svm classifier to improve the extraction of bilingual terminology from wikipedia. In Proceedings of WikiAI conjunction with International Joint Conference on Artificial Intelligence, July 2009.
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M. Erdmann, K. Nakayama, T. Hara, and S. Nishio. Improving the extraction of bilingual terminology from wikipedia. ACM Transactions on Multimedia Computing, Communications and Applications, 5(4):Article 31, 2009.
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K. Nakayama, M. Ito, T. Hara, and S. Nishio. Wikipedia relatedness measurement methods and influential features. In Proceedings of IEEE International Symposium on Mining and Web (MAW), pages 738-743, May 2009.
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M. Shirakawa, K. Nakayama, T. Hara, and S. Nishio. Concept vector extraction from wikipedia category network. In Proceedings of Ubiquitous Information Management and Communication (ICUIMC), pages 71-79, January 2009.
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M. Ito, K. Nakayama, T. Hara, and S. Nishio. Association thesaurus construction methods based on link co-occurrence analysis for wikipedia. In Proceedings of Conference on Information and Knowledge Management (CIKM), pages 817-826, October 2008.
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K. Nakayama. Extracting structured knowledge for semantic web by mining wikipedia. In International Semantic Web Conference (Posters & Demos), October 2008.
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K. Nakayama, T. Hara, and S. Nishio. Wikipedia mining – wikipedia as a corpus for knowledge extraction -. In Proceedings of Annual Wikipedia Conference (Wikimania), July 2008.
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K. Nakayama, T. Hara, and S. Nishio. Wikipedia link structure and text mining for semantic relation extraction. In Proceedings of Semantic Search Workshop (SemSearch), pages 59-73, June 2008.
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M. Erdmann, K. Nakayama, T. Hara, and S. Nishio. A bilingual dictionary extracted from the wikipedia link structure. In Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA) Demonstration Track, pages 380-392, March 2008.
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K. Nakayama, T. Hara, and S. Nishio. A search engine for browsing the wikipedia thesaurus. In Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA) Demonstration Track, March 2008.
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M. Erdmann, K. Nakayama, T. Hara, and S. Nishio. An approach for extracting bilingual terminology from wikipedia. In Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), March 2008.
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M. Pei, K. Nakayama, T. Hara, and S. Nishio. An integrated method for web resource categorization. In Proceedings of IEEE International Symposium on Mining And Web (IEEE MAW), March 2008.
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M. Pei, K. Nakayama, T. Hara, and S. Nishio. Constructing a global ontology by concept mapping using wikipedia thesaurus. In Proceedings of IEEE International Symposium on Mining And Web (IEEE MAW), March 2008.
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K. Nakayama, T. Hara, and S. Nishio. Wikipedia mining for huge scale japanese association thesaurus construction. In Proceedings of IEEE International Symposium on Mining And Web (IEEE MAW), March 2008.
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K. Nakayama, T. Hara, and S. Nishio. Wikipedia mining for an association web thesaurus construction. In Proceedings of International Conference on Web Information Systems Engineering (WISE), pages 322-334, 2007.
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K. Nakayama, T. Hara, and S. Nishio. A thesaurus construction method from large scale web dictionaries. In Proceedings of IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA), pages 932-939, 2007.
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M. Pei, K. Nakayama, T. Hara, and S. Nishio. Web resource categorization for semantic web search. In Proceedings of International Workshop on Scalable Web Information Integration and Service (SWIIS), pages 34-43, April 2007.
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K. Nakayama, T. Maekawa, H. Tomiyasu, T. Hara, and S. Nishio. Geonote.net: A social network system for geographic information. In Proceedings of International Conference on Mobile Data Management (MDM) Workshops, pages 227-234, May 2006.
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K. Nakayama, T. Hara, and S. Nishio. A web mining method based on personal ontology for semi-structured rdf. In Proceedings of International Conference on Web Information Systems Engineering (WISE) Workshops, pages 227-234, November 2005.
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K. Nakayama, T. Hara, and S. Nishio. An agent system for ontology sharing on www. In Proceedings of International Conference on World Wide Web (Special interest tracks and posters), pages 964-965, May 2005.
Domestic Journals:
See Japanese page
Books:
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K. Nakayama, K. Tsukamoto, Y. Matsuo, et. al. "Data Scientist Training Course" MyNavi Co. Ltd., 2019.
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Y. Iwasawa, M. Suzuki, K. Nakayama, Y. Matsuo, et. al. (Translation) I. Goodfellow & Y. Bengio's "Deep Learning", ASCII Dwango, 2018
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K. Nakayama, K. Nonaka, K. Nakamura, K. Uehara, K. Kusumoto, N. Sugie, N. Fujiwara, A. Kobana, M. Funakoshi, and S. Yoshikawa. "Visual Basic .NET" Kohgakusha Co. Ltd., 2004.
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K. Nakayama, K. Nakamura, S. Ueyama, K. Takada, K. Takezaki, K. Taniguchi, M. Furukata, and M. Matsushita. "Practical UML for system engineers by Visio and .NET" Kyoritsu Publishing Co. Ltd., 2004.
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S. Tanaka, R. Sakaguchi, Y. Fujita, K. Nakayama, K. Yoshikawa, H. Yoshida, and M. Yoshida. "Visual Basic 6.0" Kyoritsu Publishing Co. Ltd., 2000.
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S. Tanaka, T. Kobayashi, M. Yoshida, K. Monobe, DimitriosValmas, S. Miura, Y. Miyawaki, and K. Nakayama. "Linux applications" Morikita Publishing Co. Ltd., 2002.
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K. Nakayama, M. Egawa, T. Sugimachi, K. Nonaka, K. Fukushima, N. Watanabe, M. Tanaka, and Yamashita. "Step up C#.NET" Morikita Publishing Co. Ltd., 2002.
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K. Nakayama, M. Nakagawa, M. Nakano, T. Taguchi, T. Hayakawa, and M. Nakamura. "DirectX8" Kohgakusha Co. Ltd., 2001.
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S. Tanaka, T. Kobayashi, M. Iwai, K. Nakayama, and S. Matsubara. "The Master of Perl" Morikita Publishing Co. Ltd., 1999.









Articles:
See Japanese page
Competitive Research Funds:
See Japanese page
Invited Lectures:
See Japanese page