{"id":85,"date":"2017-02-15T13:25:44","date_gmt":"2017-02-15T04:25:44","guid":{"rendered":"http:\/\/kmlab.nagaokaut.ac.jp\/?page_id=85"},"modified":"2025-12-21T14:21:02","modified_gmt":"2025-12-21T05:21:02","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/publications-2\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Journal<\/h3>\n
    \n
  1. \n

    \nS. Jia, H. Cui, T. Hayama, “HAR-DCWGAN: Dual-Conditional Wasserstein GAN for Human Activity Recognition Data Synthesis,” IEICE Transactions on Information and Systems, Vol.E109-D,No.5, (2026). (in press).\n<\/span><\/span><\/span><\/p><\/li>\n

  2. \n

    \nM. Takano, T. Hayama, H. Cui, “Predicting Image Diffusion in Social Networks through Visual Interest Similarity,” IEICE Transactions on Information and Systems, Vol.E109-D,No.5, (2026), (in press).\n<\/span><\/span><\/span><\/p><\/li>\n

  3. \n

    \nT. Takatsu, T. Hayama and H. Cui, “Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition,” in IEEE Access, vol. 13, pp. 74746-74757, 2025, doi: 10.1109\/ACCESS.2025.3562897.\n<\/span><\/span><\/span><\/p><\/li>\n

  4. \n

    \nH. Cui, R. Huang, R. Zhang, T. Hayama, “DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling,” Neurocomputing, vol. 637, Article 130066, (2025). doi: 10.1016\/j.neucom.2025.130066\n<\/span><\/span><\/span><\/p><\/li>\n

  5. \n

    \nHu Cui, Tessai Hayama, \u201cJoint-Partition Group Attention for skeleton-based action recognition,\u201d Signal Processing, Volume 224, 2024.\n<\/span><\/span><\/span><\/p><\/li>\n

  6. \n

    \nCui, H., Hayama, T. : “STSD: spatial\u2013temporal semantic decomposition transformer for skeleton-based action recognition”. Multimedia Systems 30, 43 (2024).\n<\/span><\/span><\/span><\/p><\/li>\n

  7. \n

    \n\u5927\u5cf6\u5fc3\u5e73, \u5929\u91ce\u7406\u97f3, \u7fbd\u5c71\u5fb9\u5f69, “\u9ad8\u7cbe\u5ea6\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u305f\u9ad8\u5468\u6ce2\u56de\u8def\u306b\u95a2\u3059\u308b\u5b66\u751f\u5b9f\u9a13\u306e\u958b\u767a,” \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC, vol. 144, no. 8, (2024).\n<\/span><\/span><\/span><\/p><\/li>\n

  8. \n

    \nMuhammad FAWAD RAHIM, Tessai HAYAMA; “Mining User Activity Patterns from Time-Series Data Obtained from UWB Sensors in Indoor Environments,” IEICE TRANSACTIONS on Information and Systems, 2024. <\/span><\/span><\/span><\/p><\/li>\n

  9. \n

    \nTakumi HASEGAWA, Tessai HAYAMA: “Practical Application of an e-Learning Support System Incorporating a Fill-in-the-Blank Question-Type Concept Map”, IEICE TRANSACTIONS on Information and Systems, 2024. <\/span><\/span><\/span><\/p><\/li>\n

  10. \n

    Tessai Hayama, Qi Zhang, Estimating Passive Twitter-User’s Interests from Followed Users’ Tweets by Technique Transfer, International Journal of Smart Computing and Artificial Intelligence, Vol.6, No.2, pp.*–*,2022. \n<\/span><\/span><\/span><\/p><\/li>\n

  11. \n

    Tessai Hayama, Shota Yokoyama, Multimodal Information Analysis for Small-Group Dialog to Identify Features that Lead to Efficient Knowledge Transfer, Journal of Intelligent Informatics and Smart Technology, Vol.8, pp.(09-1)–(09-8), 2022. <\/span><\/span><\/span><\/p><\/li>\n

  12. \n

    Hayama, T., Arakawa, Rena.: “Walking-posture Classification from Single-acceleration-sensor Data using Deep Learning and its Evaluation”, International Journal of Service and Knowledge Management, 2021.(Accepted) <\/span><\/span><\/span><\/p><\/li>\n

  13. \n

    \u65b0\u5ddd \u601c\u5948, \u7fbd\u5c71 \u5fb9\u5f69: “\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5358\u4e00\u52a0\u901f\u5ea6\u30bb\u30f3\u30b5\u304b\u3089\u306e\u6b69\u884c\u59ff\u52e2\u5206\u985e\u306e\u4e00\u8003\u5bdf”, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD, \u7814\u7a76\u901f\u5831, Vol.J103-D,No.11,pp.-,Nov. 2020.(Accepted) <\/span><\/span><\/span><\/p><\/li>\n

  14. \n

    Tessai Hayama, Hiroki Takahash, Kazuya Nagatomo: “Extracting Stay Regions from UWB Indoor Trajectory and its Evaluation”, International Journal of Service and Knowledge Management, Vol. 4, No. 1, pp.27 – 40, 2020. <\/span><\/span><\/span><\/p><\/li>\n

  15. \n

    Tessai Hayama, Hidetaka Odate, Naoto Ishida: “Classification of Student\u2019s In-class Behavior Using a Desktop Pressure Sensor”, International Journal on e-Learning, Vol.19(4), pp.383-395, 2020. <\/span><\/span><\/span><\/p><\/li>\n

  16. \n

    Tessai Hayama<\/span><\/u>: \u201cDetecting TV Program Highlight Scenes Using Twitter Data Classified by Twitter User Behavior and Evaluating It to Soccer Game TV Programs\u201d. IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.4   pp.917-924 (2018)<\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  17. \n

    Tessai Hayama:<\/span><\/u> \u201cDetecting TV Program Highlight Scenes Using Twitter Data Classified by Twitter User Behavior\u201d. Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems(In revised selected paper of KICSS2015), Advances in Intelligent Systems and Computing, Vol 685. pp.1-13, Springer, Cham (2017)<\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  18. \n

     <\/span><\/span>\u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u5f90\u5229\u5a1f\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u8b70\u8ad6\u3067\u306e\u4e8b\u524d\u5b66\u7fd2\u77e5\u8b58\u306e\u6d3b\u7528\u3092\u4fc3\u3059\u5bfe\u9762\u578b\u5354\u8abf\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0<\/span>“, <\/span><\/span>\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.55, No.1, pp.163–176 (2014). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  19. \n

     <\/span><\/span>\u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u9808\u7530\u9054\uff0c\u5343\u5fb3\u82f1\u4e00<\/span>: “<\/span><\/span>\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30d9\u30fc\u30b9\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30c1\u30fc\u30e0\u7de8\u6210\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf<\/span>“, <\/span><\/span>\u5de5\u5b66\u6559\u80b2<\/span>, Vol.61, No.5, pp.82–87 (2013). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  20. \n

    Md. Shiful Islam<\/span><\/span>\uff0c<\/span>Susumu Kunifuji<\/span><\/span>\uff0c<\/span>Tessai Hayama<\/span><\/span><\/u>\uff0c<\/span>Motoki Miura: “Knowledge sharing practices among doctoral students in JAIST to enhance research skills”, Knowledge Management & E-Learning, Vol.5, No.2, pp.170–185 (2013). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  21. \n

    \u5b87\u4f50\u7f8e\u4f51\u4ecb\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/u>\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u975e\u540c\u671f\u5275\u9020\u4f1a\u8b70\u306b\u304a\u3051\u308b\u524d\u5411\u304d\u306a\u8a55\u4fa1\u3068\u500b\u4eba\u306e\u30a2\u30a4\u30c7\u30a2\u6570\u53ef\u8996\u5316\u304c\u3082\u305f\u3089\u3059\u5f71\u97ff<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.16, pp.56–76 (2013). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  22. \n

    Tessai Hayama<\/span><\/span><\/u>\uff0c<\/span>Susumu Kunifuji: “Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation”, International Journal of Knowledge and Systems Science, Vol.3, No.3, pp.26–41 (2012). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  23. \n

    \u70cf\u862d\u5176\u5176\u683c\uff0c\u570b\u85e4\u9032\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/u><\/span>: “<\/span><\/span>\u4e2d\u7b49\u6559\u80b2\u306b\u304a\u3051\u308b\u5316\u5b66\u6559\u79d1\u306e\u8ab2\u984c\u3092\u7528\u3044\u305f\u5275\u9020\u6027\u30c6\u30b9\u30c8\u306e\u958b\u767a\u3068\u8a55\u4fa1<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.15, pp.125–137 (2012). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  24. \n

     <\/span><\/span>Md. Shiful Islam<\/span><\/span>\uff0c<\/span>Susumu Kunifuji<\/span><\/span>\uff0c<\/span>Tessai Hayama<\/span><\/span><\/u>\uff0c<\/span>Motoki Miura: “An Adoption Model for E-Learning and Knowledge Management Systems”, International Journal of Knowledge and Systems Science (IJKSS), Vol.3, No.2, pp.51–66 (2012). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  25. \n

    \u53e4\u5ddd\u6d0b\u7ae0\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/u>\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u3042\u3044\u3065\u3061\u6a5f\u80fd\u3092\u7528\u3044\u305f\u5206\u6563\u30d6\u30ec\u30fc\u30f3\u30b9\u30c8\u30fc\u30df\u30f3\u30b0\u652f\u63f4\u30b7\u30b9\u30c6\u30e0<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.14, pp.39–51 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  26. \n

    Md. Shiful Islam<\/span><\/span>\uff0c<\/span>Susumu Kunifuji<\/span><\/span>\uff0c<\/span>TESSAI HAYAMA<\/span><\/span><\/u>\uff0c<\/span>Motoki Miura: “E-learning in LIS education: an analysis and prediction”, Library Review, Vol.60, No.7, pp.544–559 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  27. \n

    Md. Shiful Islam<\/span><\/span>\uff0c<\/span>Susumu Kunifuji<\/span><\/span>\uff0c<\/span>Motoki Miura<\/span><\/span>\uff0c<\/span>TESSAI HAYAMA<\/span><\/u>: “Adopting Knowledge Management in an E-learning System: Insights and views of KM and EL research scholars”, Knowledge Management and E-Learning: An International Journal, Vol.3, No.3, pp.375–398 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  28. \n

    Md. Shiful Islam<\/span><\/span>\uff0c<\/span>Susumu Kunifuji<\/span><\/span>\uff0c<\/span>TESSAI HAYAMA<\/span><\/span><\/u>\uff0c<\/span>Motoki Miura: “Towards exploring a global scenario of e-learning in Library and Information Science schools”, International Information and Library Review, Vol.43, No.1, pp.15–22 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  29. \n

    TESSAI HAYAMA<\/span><\/span><\/u>\uff0c<\/span>Susumu Kunifuji: “Relevant Piece of Information Extraction from Presentation Slide Page for Slide Information Retrieval System”, Knowledge, Information, and Creativity Support Systems Lecture Notes in Computer Science (In revised selected paper of KICSS2011), Vol.6746, pp.22–31 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  30. \n

    Hui Cheng<\/span><\/span>\uff0c<\/span>Tessai Hayama<\/span><\/span><\/u>\uff0c<\/span>Susumu Kunifuji: “Presentation Support System Providing the Function of Promoting Comment Collection in Limited Time”, Knowledge, Information, and Creativity Support Systems Lecture Notes in Computer Science (In revised selected paper of KICSS2011), Vol.6746, pp.1–12 (2011). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  31. \n

    \u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u96e3\u6ce2\u82f1\u55e3\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30b9\u30e9\u30a4\u30c9\u60c5\u5831\u306e\u69cb\u9020\u62bd\u51fa<\/span>“, <\/span><\/span>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.JD92, No.9, pp.1483–1494 (2009). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  32. \n

    Ujjwal Neupane<\/span><\/span>\uff0c<\/span>Motoki Miura<\/span><\/span>\uff0c<\/span>TESSAI HAYAMA<\/span><\/span><\/u>\uff0c<\/span>Susumu Kunifuji: “Qualitative, Quantitative Evaluation of Ideas in Brain Writing Groupware”,  IEICE Transaction on Information and Systems, Vol.E90-D, No.10, pp.1493–1500 (2007). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  33. \n

    \u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u694a\u5411\u6771\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u5b66\u7fd2\u77e5\u8b58\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u5354\u8abf\u30ce\u30fc\u30c8\u30b7\u30b9\u30c6\u30e0<\/span>“, <\/span><\/span>\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.48, No.8, pp.2814–2822 (2007). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  34. \n

    \u5c71\u7530\u5e78\u6cbb\uff0c\u4e09\u6d66\u5143\u559c\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/u>\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u4e8b\u4f8b\u96c6\u306e\u6587\u66f8\u7ba1\u7406\u306b<\/span>TRIZ <\/span><\/span>\u7406\u8ad6\u3092\u9069\u7528\u3057\u305f\u77e5\u8b58\u7ba1\u7406\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.11, pp.86–100 (2007). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  35. \n

    \u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u5c0f\u68ee\u4fca\u5e0c\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u5206\u6563\u578b\u30d6\u30ec\u30a4\u30f3\u30b9\u30c8\u30fc\u30df\u30f3\u30b0\u74b0\u5883\u306b\u304a\u3051\u308b\u30a2\u30a4\u30c7\u30a2\u914d\u7f6e\u65b9\u6cd5\u304c\u30a2\u30a4\u30c7\u30a2\u5275\u51fa\u3078\u53ca\u307c\u3059\u5f71\u97ff<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.11, pp.101–114 (2007). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  36. \n

    \u30cd\u30a6\u30d1\u30cd\u30a6\u30c3\u30b8\u30e5\u30ef\u30eb\uff0c\u4e09\u6d66\u5143\u559c\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/u>\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u5206\u6563\u578b\u30d6\u30ec\u30a4\u30f3\u30e9\u30a4\u30c6\u30a3\u30f3\u30b0\u652f\u63f4\u306e\u305f\u3081\u306e\u74b0\u5883\u3068\u305d\u308c\u306b\u304a\u3051\u308b\u8a55\u4fa1<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.10, pp.74–86 (2006). <\/span><\/span><\/span><\/span><\/p>\n<\/li>\n

  37. \n

     <\/span><\/span>\u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u91d1\u4e95\u8cb4\uff0c\u570b\u85e4\u9032<\/span>: “<\/span><\/span>\u5275\u9020\u7684\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u30b9\u30ad\u30fc\u30df\u30f3\u30b0\u652f\u63f4\u74b0\u5883\u306e\u52b9\u679c<\/span>“, <\/span><\/span>\u65e5\u672c\u5275\u9020\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.9, pp.124–134 (2005). <\/span><\/span>\u3000<\/span><\/span><\/span><\/p>\n<\/li>\n

  38. \n

    \u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>\uff0c\u91d1\u4e95\u8cb4\uff0c\u570b\u85e4\u9032<\/span>: “<\/span>\u5275\u9020\u7684\u6d3b\u52d5\u306b\u304a\u3051\u308b\u6587\u732e\u8abf\u67fb\u306e\u305f\u3081\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u30b9\u30ad\u30fc\u30df\u30f3\u30b0\u652f\u63f4\u74b0\u5883<\/span>“, <\/span>\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/span>, Vol.19, No.2, pp.113–125 (2004).<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n

    International conference<\/h3>\n
      \n\n\n

    1. \nH. Cui, W. Hua, R. Huang, S. Jia, T. Hayama, “SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation,” in Proc. Winter Conference on Applications of Computer Vision 2026 (WACV2026), (2026). (To be appeared)\n<\/p><\/li>\n\n

    2. \nM. Takano, T. Hayama, H. Cui, “Predicting Image Diffusion in Social Networks via Visual Interest Similarity,” in Proc. 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025) ,pp.222-233 (2025).\n<\/p><\/li>\n\n

    3. \nS. Jia, H. Cui, T. Hayama, “HAR-DCWGAN: Dual-Conditional Wasserstein GAN for Human Activity Recognition Data Synthesis,” in Proc. 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025),pp.234-242 (2025).\u3010Outstanding Paper Award\u3011<\/strong>\n<\/p><\/li>\n\n

    4. \nU. P. Kudagamage, T. Hayama, “Practical Evaluation of Mental Health Risk Prediction in University Students Using Consumer Smartwatches and Explainable Machine Learning,” in Proc. 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025) ,pp.158-165 (2025).\n<\/p><\/li>\n\n

    5. \nH. Jyoboji, T. Hayama, \u201cBottom-Up Handwriting Recognition Using Motion Sensors on a Smartwatch,” in Proc. 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025) ,pp.64-71 (2025).\u3010Best Poster Award\u3011<\/strong>\n<\/p><\/li>\n\n

    6. \nH. Cui, T. Hayama, “HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network,” in Proc. 2025 International Joint Conference on Neural Networks (IJCNN 2025), IEEE, (2025). https:\/\/doi.org\/10.48550\/arXiv.2504.06638\n<\/p><\/li>\n\n

    7. \nT. Takatsu, T. Hayama, H. Cui, “Cross-dataset representation learning for unsupervised deep clustering in human activity recognition,” in Proc. Pacific Rim International Conference on Artificial Intelligence (PRICAI) \u2014 Workshop on Representation Learning and Clustering (RLC’24), (2024).\n<\/p><\/li>\n\n

    8. \nT. Hasegawa, T. Hayama, “Developing a video-based e-learning system incorporating a fill-in-the-blank question-type concept map,” in Proc. 31st International Conference on Computers in Education (ICCE 2023), vol. 1, pp. 34\u201339, (2023).\n<\/p><\/li>\n\n

    9. \nM. R. Fawad, T. Hayama, “Extracting user daily routine activity patterns from UWB sensor data in indoor environment,” in Proc. 29th Int. Conf. on Collaboration Technologies and Social Computing (CollabTech 2023), pp. 160\u2013167, (2023).\n<\/p><\/li>\n\n\n

    10. \nTessai Hayama, Daichi Niiyama, Case Study on the Effectiveness of Recommendation Algorithms for Sake Review Website. In Proceedings of In Proceedings of The 17th International Conference on Knowledge, Information, Creativity Support Systems (KICSS 2022), pp.-. (2022).\u3010Outstanding Paper Award\u3011<\/strong>\n<\/p><\/li>\n\n

    11. \n

      Tessai Hayama and Shota Yokoyama, Personality Traits Estimation of Participants Based on Multimodal Information in Knowledge Transfer-type Discussion. In Proceedings of The 14th International Conference on E-Service and Knowledge Management, pp.-. (2022).\n<\/p><\/li>\n\n

    12. \n

      Hayama T. (2021) Analyzing Features of Passive Twitter’s Users to Estimate Passive Twitter-User’s Interests. In Proceedings of The 20th IEEE\/WIC\/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp.-. .<\/p>\n<\/li>\n

    13. \n

      Hayama T., Yokoyama S. (2021) Analyzing Knowledge Transfer in a Group Dialog Based on Multimodal Information. In Proceedings of The 16th International Conference on Knowledge, Information, Creativity Support Systems (KICSS 2021), pp.-. .\u3010Best Presentation Award\u3011<\/strong><\/p>\n<\/li>\n

    14. \n

      Hayama T., Zhang Qi. (2021) Topic-model based Estimation of Passive Twitter-User\u2019s Interests from Followed Users\u2019 Tweets\u201d. In Proceedings of The 10th International Congress on Advanced Applied Informatics, pp.1-6.\u3010Honorable Mention Award\u3011<\/strong><\/p>\n<\/li>\n

    15. \n

      T. Hayama, T. Nariai and K. Nagatomo, “Extracting Stay Regions from UWB Indoor Trajectory,” 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), 2019, pp.785-790<\/p>\n<\/li>\n

    16. \n

      Tessai Hayama, Hiroki Takahashi, Kazuya Nagatomo, \u201cExtracting Stay Regions from Indoor Geospatial Trajectory Using Time-based Clustering\u201d, 14th International Conference on Knowledge, Information, Creativity Support Systems (KICSS 2019), 2019.<\/p>\n<\/li>\n

    17. \n

      Tessai Hayama, Hidetaka Odate, Naoto Ishida , \u201cClassification of Student\u2019s In-class Behavior Using a Desktop Pressure Sensor\u201d, Proceedings of the Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018,p.1-5 (2018)<\/p>\n<\/li>\n

    18. \n

      Tessai Hayama, \u201cInvestigating Relationship between Students\u2019 Motivation and Learning Achievement in a Project-Based Learning Course\u201d, Proceedings of 1 2th International Technology, Education and Development Conference(INTED2018), pp. 647-655 (2018).<\/p>\n<\/li>\n

    19. \n

      Tessai Hayama, \u201cEvaluating TV-program Highlight Scene Detection Based on Twitter Data to Soccer Game TV programs\u201d, The 18th International Symposium on Advanced Intelligent Systems( ISIS2017), 175-182 (2017).<\/p>\n<\/li>\n

    20. \n

      TESSAI HAYAMA<\/u>, Koji Hasegawa, Kazushi Hoshiya: ” Face-to-Face Collaborative Learning by Enhancing Viewpoint-Sharing of Learning Materials”, Proceedings of The8th International Conference, CollabTech 2016; Yoshino T., Chen GD., Zurita G., Yuizono T., Inoue T., Baloian N. (eds) Collaboration Technologies and Social Computing. CollabTech 2016. Communications in Computer and Information Science, vol 647. Springer, Singapore, pp. 190 – 202 (2016).<\/p>\n<\/li>\n

    21. \n

      TESSAI HAYAMA,<\/u> Saki Hayashi and Yuichi Kondo: ” Investigation of a Team-based activity Support System used in a Project-based Learning Course”, Proceedings of  The Eleventh 2016 International Conference on Knowledge, Information and Creativity Support Systems (KICSS2016), pp. 64 \u2013 69, (2016).<\/p>\n<\/li>\n

    22. \n

      TESSAI HAYAMA<\/u>: ” Detecting TV Program Highlight Scenes Using Twitter Data Classified by Twitter User Behavior”, Proceedings of The 10th International Conference on Knowledge, Information and Creative Support System (KICSS2015), pp. 164 – 175 (2015).<\/p>\n<\/li>\n

    23. \n

      TESSAI HAYAMA<\/u>: “Analysis of Team Characteristics of Project-Based Learning based on Performance Factors of Collaborative Learning”, Proceedings of The 3rd IIAI International Conference on Advanced Applied Informatics, pp. 275 – 279 (2014).<\/p>\n<\/li>\n

    24. \n

      TESSAI HAYAMA<\/u>\u3001Lijuan XU\u3001Susumu KUNIFUJI: “Developing an Argumentation Support System for Face-to-face Collaborative Learning”, Proceedings of 12th IEEE\/ACIS International Conference on Computer and Information Science, pp.89–94 (2013).<\/p>\n<\/li>\n

    25. \n

      TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation”, The 6th International Conference on Knowledge, Information and Creative Support System (KICSS2011), pp.122–129 (2011).<\/p>\n<\/li>\n

    26. \n

      Wulanqiqi\u3001Susumu Kunifuji\u3001TESSAI HAYAMA<\/u>: “Development and Evaluation of Creativity Test for Chemistry Education in a Secondary School Level”, The 6th International Conference on Knowledge, Information and Creative Support System (KICSS2011), pp.49–53 (2011).<\/p>\n<\/li>\n

    27. \n

      Md. Shiful Islam\u3001Susumu Kunifuji\u3001TESSAI HAYAMA<\/u>\u3001Motoki Miura: “Towards Building an E-learning and Knowledge Management Adoption Model”, The 6th International Conference on Knowledge, Information and Creative Support System (KICSS2011), pp.36–48 (2011).<\/p>\n

      \u3010Best Student Paper Award<\/strong>\u3000\u53d7\u8cde<\/strong>\u3011<\/strong><\/p>\n<\/li>\n

    28. \n

      Hui Cheng\u3001TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Presentation Support System Providing the Function of Promoting Comment Collection in Limited Time”, the 5th International Conference on Knowledge, Information and Creativity Support Systems (KICSS2010), pp.138–145 (2010).<\/p>\n

      \u3010KICSS2010 Honorable Award<\/strong>\u3000\u53d7\u8cde<\/strong>\u3011<\/strong><\/p>\n<\/li>\n

    29. \n

      TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Relevant Piece of Information Extraction from Presentation Slide Page for Slide Information Retrieval System”, The 5th International Conference on Knowledge, Information and Creative Support System (KICSS2010), pp.263–268 (2010).<\/p>\n<\/li>\n

    30. \n

      Md. Shiful Islam\u3001Susumu Kunifuji\u3001TESSAI HAYAMA<\/u>\u3001Motoki Miura: “A theoretical Framework for Adopting Knowledge Management in an E-Learning System”, The Asia-Pacific Conference on Technology Enhanced Learning 2010 (APTEL 2010),  (2010).<\/p>\n<\/li>\n

    31. \n

      Md. Shiful Islam\u3001Susumu Kunifuji\u3001TESSAI HAYAMA<\/u>\u3001Motoki Miura: “Electronic Learning Technologies and Applications – a decade review from 2000 to 2009”, The 4th International Conference on Knowledge, Information and Creativity Support Systems, pp.37–45 (2009).<\/p>\n<\/li>\n

    32. \n

      TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Investigating topic segmentation of a paper for automatic slide generation using paper-slides word alignment”, The 4th International Conference on Knowledge, Information and Creativity Support Systems, pp.47–54 (2009).<\/p>\n<\/li>\n

    33. \n

      Koji Yamada\u3001Motoki Miura\u3001TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Effectiveness of Engineering Solution Case Document Search Based on TRIZ Contradiction Matrix Theory”, the 12th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES2009), pp.547–554 (2009).<\/p>\n<\/li>\n

    34. \n

      TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Effects of Difference Idea Layout Methods on Idea Generation in Distributed Brainstorming Environment”, The 3rd International Conference on Knowledge, Information and Creative Support System (KICSS2008), pp.177–184 (2008).<\/p>\n<\/li>\n

    35. \n

      TESSAI HAYAMA<\/u>\u3001Hidetsugu Nanba\u3001Susumu Kunifuji: “Structure Extraction from Presentation Slide Information”, the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), pp.678–687 (2008).<\/p>\n<\/li>\n

    36. \n

      TESSAI HAYAMA<\/u>\u3001Susumu Kunifuji: “Presentation Support System Providing Visual Effects”, the 1st International Conference on Knowledge, Information and Creative Support System (KICSS2006), pp.151–157 (2006).<\/p>\n<\/li>\n

    37. \n

      TESSAI HAYAMA<\/u>\u3001Hidetsugu Nanba\u3001Susumu Kunifuji: “Alignment between a Technical Paper and Presentation Sheets Using a Hidden Markov Model”, the 2005 International Conference on Active Media Technology (AMT2005), pp.102–106 (2005).<\/p>\n<\/li>\n

    38. \n

      TESSAI HAYAMA<\/u>\u3001Takashi Kanai\u3001Susumu Kunifuji: “Personalized Environment for Skimming Documents”, the International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2003), pp.771–778 (2003).<\/p>\n<\/li>\n

    39. \n

      Yang Xiangdong\u3001Tessai Hayama<\/u>\u3001Susumu Kunifuji: “Collaborative Notebook System for Acquiring Others’ Knowledge in e-Learning”, The 7th World Multi-conference on Systemics, Cybernetics and Informatics (SCI2003), Vol. XVI, pp.193–197 (2003).<\/p>\n<\/li>\n<\/ol>\n

      Domestic conference<\/h3>\n
        \n
      1. \u9ad8\u6a4b\u8aa0, \ufa21\u539f\u8aa0\u5f25, \u7fbd\u5c71\u5fb9\u5f69: “\u30aa\u30f3\u30e9\u30a4\u30f3\u5bfe\u8a71\u306e\u305f\u3081\u306e\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u60c5\u5831\u5206\u6790\u74b0\u5883\u306e\u69cb\u7bc9”, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7532\u4fe1\u8d8a\u652f\u90e8\u5927\u4f1a, pp.-, (2022.9).<\/li>\n
      2. \u9ad8\u6d25\u670b\u4e5f, \u7fbd\u5c71\u5fb9\u5f69: “SNS\u306b\u304a\u3051\u308b\u5354\u8abf\u7684\/\u7af6\u5408\u7684\u306a\u60c5\u5831\u62e1\u6563\u73fe\u8c61\u306e\u5206\u6790”, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7532\u4fe1\u8d8a\u652f\u90e8\u5927\u4f1a, pp.-, (2022.9).<\/li>\n
      3. \u65b0\u5c71\u5927\u5730, \u7fbd\u5c71\u5fb9\u5f69: “\u65e5\u672c\u9152\u53e3\u30b3\u30df\u30b5\u30a4\u30c8\u306b\u304a\u3051\u308b\u63a8\u85a6\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u52b9\u679c\u306b\u95a2\u3059\u308b\u4e8b\u4f8b\u7814\u7a76”, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7b2c116\u56de\u30b0\u30eb\u30fc\u30d7\u30a6\u30a7\u30a2\u3068\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b5\u30fc\u30d3\u30b9\u7814\u7a76\u4f1a, pp.-, (2022).<\/li>\n
      4. \u5f35\u742a, \u7fbd\u5c71\u5fb9\u5f69: \u201cSNS\u306b\u304a\u3051\u308b\u30d5\u30a9\u30ed\u30fc\u30e6\u30fc\u30b6\u30c4\u30a4\u30fc\u30c8\u3092\u7528\u3044\u305f\u53d7\u52d5\u7684\u30e6\u30fc\u30b6\u306e\u8208\u5473\u63a8\u5b9a\u624b\u6cd5\u306e\u958b\u767a\u201d, \u7b2c13\u56de\u30c7\u30fc\u30bf\u5de5\u5b66\u3068\u60c5\u5831\u30de\u30cd\u30b8\u30e1\u30f3\u30c8\u306b\u95a2\u3059\u308b\u30d5\u30a9\u30fc\u30e9\u30e0(DEIM2021), pp.1-8 (2021).<\/li>\n
      5. \u7fbd\u5c71\u5fb9\u5f69\uff0c\u6a2a\u5c71\u7fd4\u6c70,:\u201c\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u60c5\u5831\u306b\u57fa\u3065\u304f\u30b0\u30eb\u30fc\u30d7\u5bfe\u8a71\u306b\u304a\u3051\u308b\u77e5\u8b58\u4f1d\u9054\u306e\u5206\u6790\u201d ,\u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7814\u7a76\u5831\u544a\u6559\u80b2\u5b66\u7fd2\u652f\u63f4\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\uff08CLE \uff09, 2021-CLE-33 (4), pp.1-8 (2021). <\/li>\n
      6. \u4f50\u85e4\u79c0\u771f, \u7fbd\u5c71\u5fb9\u5f69: \u201c\u30b3\u30f3\u30bb\u30d7\u30c8\u30de\u30c3\u30d7\u3092\u5229\u7528\u3057\u305f\u52d5\u753b\u8996\u8074\u578be\u30e9\u30fc\u30cb\u30f3\u30b0\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u201d, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u6280\u8853\u7814\u7a76\u5831\u544a, vol. 120, no. 289, ET2020-37, pp. 17-22 (2020).<\/li>\n
      7. 4.\t\u6a2a\u5c71\u7fd4\u6c70, \u7fbd\u5c71\u5fb9\u5f69:\u201c\u5c0f\u30b0\u30eb\u30fc\u30d7\u3067\u306e\u5354\u8abf\u5b66\u7fd2\u3092\u4fc3\u9032\u3055\u305b\u308b\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5bfe\u8a71\u5206\u6790\u201d , \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u6280\u8853\u7814\u7a76\u5831\u544a, , vol. 120, no. 289, ET2020-41, pp. 37-42 (2020). <\/li>\n
      8. \u65b0\u5ddd\u601c\u5948, \u7fbd\u5c71\u5fb9\u5f69: “\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5358\u4e00\u52a0\u901f\u5ea6\u30c7\u30fc\u30bf\u304b\u3089\u306e\u6b69\u884c\u59ff\u52e2\u306e\u5206\u985e”, \u7b2c82\u56de\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, (2020). <\/li>\n
      9. \u85e4\u5ca1\u80fd\u53f2, \u7fbd\u5c71\u5fb9\u5f69: “\u30bd\u30fc\u30b7\u30e3\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b5\u30fc\u30d3\u30b9\u306b\u304a\u3051\u308b\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u306e\u60c5\u5831\u62e1\u6563\u73fe\u8c61\u306b\u95a2\u3059\u308b\u7d71\u8a08\u7684\u5206\u6790”, \u7b2c82\u56de\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, (2020). <\/li>\n
      10. \u4f50\u85e4\u79c0\u771f, \u7fbd\u5c71\u5fb9\u5f69: “\u30b3\u30f3\u30bb\u30d7\u30c8\u30de\u30c3\u30d7\u3092\u5229\u7528\u3057\u305f\u52d5\u753b\u8996\u8074\u578be\u30e9\u30fc\u30cb\u30f3\u30b0\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848”, \u7b2c82\u56de\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, (2020). <\/li>\n
      11. \u6210\u76f8\u6bc5\uff0c\u9577\u53cb<\/span><\/u><\/span>\u548c\u4e5f<\/span>\uff0c\u7fbd\u5c71\u5fb9\u5f69<\/span><\/u>: “UWB<\/span>\u5c4b\u5185\u8ecc\u9053\u30c7\u30fc\u30bf\u304b\u3089\u306e\u6ede\u5728\u9818\u57df\u62bd\u51fa<\/span>“, <\/span>\u7b2c<\/span>33<\/span>\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6<\/span>, pp.1–4(2003).<\/span><\/span><\/li>\n
      12. \u7fbd\u5c71 \u5fb9\u5f69<\/span>, <\/span><\/span>\u5927\u8218<\/span> \u82f1\u9686<\/span>, <\/span><\/span>\u77f3\u7530<\/span> \u76f4\u767b\uff0c\u53d7\u8b1b\u751f\u306e\u72b6\u614b\u63a8\u5b9a\u306e\u305f\u3081\u306e\u5727\u529b\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u30c6\u30fc\u30d6\u30eb\u30c8\u30c3\u30d7\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u306e\u958b\u767a\uff0c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u3000\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5b66\u7fd2\u3068\u6559\u80b2\uff08<\/span>CLE<\/span><\/span>\uff09<\/span> 2018-CLE-26(17), pp.1-7, pp.100-103 (2018)<\/span><\/span><\/li>\n<\/ol>\n

        Book<\/h3>\n
          \n
        1. \u570b\u85e4\u9032\u3001\u4e2d\u7530\u8c4a\u4e45\u3001\u7fbd\u5c71\u5fb9\u5f69<\/u><\/span>:<\/span><\/u> “<\/span>\u77e5\u8b58\u57fa\u76e4\u793e\u4f1a\u306e\u305f\u3081\u306e\u4eba\u5de5\u77e5\u80fd\u5165\u9580<\/span>“, <\/span>\u30b3\u30ed\u30ca\u793e\uff08\u8a08\u6e2c<\/span>\u30fb<\/span>\u5236\u5fa1\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u30b7\u30ea\u30fc\u30ba\uff09<\/span> (2012).<\/span><\/span><\/li>\n<\/ol>\n\n\n\n

          <\/p>\n","protected":false},"excerpt":{"rendered":"

          Journal S. Jia, H. Cui, T. Hayama, “HAR-DCWGAN: Dual-Conditional Wasserstein GAN for Human Activity Reco … Continue reading Publications<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-85","page","type-page","status-publish","hentry","without-featured-image"],"_links":{"self":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/85","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=85"}],"version-history":[{"count":44,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/85\/revisions"}],"predecessor-version":[{"id":1103,"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/85\/revisions\/1103"}],"wp:attachment":[{"href":"https:\/\/kmlab.nagaokaut.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=85"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}