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Publications


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journal_conference

International Journals, Conferences and Workshops:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. M. Suzuki, K. Nakayama, Y. Matsuo. Improving Bi-directional Generation between Different Modalities with Variational Autoencoders. CoRR abs/1801.08702 (2018)

  7. 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.

  8. 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.

  9. Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo: Censoring Representations with Multiple-Adversaries over Random Subspaces, International Conference of Learning Representation (ICLR18) Workshop, 2018.

  10. 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.

  11. Naoki Nonaka, Kotaro Nakayama, Yutaka Matsuo: “Contents Popularity Prediction by Vector Representation
    Learned from User Action History.” DATA ANALYTICS 2017 (2017).

  12. 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.

  13. 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).

  14. Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo: Joint Multimodal Learning with Deep Generative Models, ICLR 2017 workshop, April24–26, 2017, Toulon, France.

  15. 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.

  16. 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.

  17. 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​.

  18. 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.

  19. 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.

  20. 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).

  21. 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).

  22. 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.​

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. K. Nakayama. Extracting structured knowledge for semantic web by mining wikipedia. In International Semantic Web Conference (Posters & Demos), October 2008.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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

Domestic Journals:

See Japanese page

Books

Books:

  1. K. Nakayama, K. Tsukamoto, Y. Matsuo, et. al. "Data Scientist Training Course" MyNavi Co. Ltd., 2019.

  2. Y. Iwasawa, M. Suzuki, K. Nakayama, Y. Matsuo, et. al. (Translation) I. Goodfellow & Y. Bengio's "Deep Learning", ASCII Dwango, 2018

  3. 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.

  4. 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.

  5. S. Tanaka, R. Sakaguchi, Y. Fujita, K. Nakayama, K. Yoshikawa, H. Yoshida, and M. Yoshida. "Visual Basic 6.0" Kyoritsu Publishing Co. Ltd., 2000.

  6. S. Tanaka, T. Kobayashi, M. Yoshida, K. Monobe, DimitriosValmas, S. Miura, Y. Miyawaki, and K. Nakayama. "Linux applications" Morikita Publishing Co. Ltd., 2002.

  7. 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.

  8. K. Nakayama, M. Nakagawa, M. Nakano, T. Taguchi, T. Hayakawa, and M. Nakamura. "DirectX8" Kohgakusha Co. Ltd., 2001.

  9. S. Tanaka, T. Kobayashi, M. Iwai, K. Nakayama, and S. Matsubara. "The Master of Perl" Morikita Publishing Co. Ltd., 1999.

Articles:

See Japanese page

Funds

Competitive Research Funds:

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Invited lectres

Invited Lectures:

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