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研究業績

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NICT論文一覧へ

2019年

主な論文・著書・特許等

  1. Luu, V. H., Dao, M. S., Nguyen, T. N. T., Perry, S., Zettsu, K.: Semi-supervised Convolutional Neural Networks for Flood Mapping using Multi-modal Remote Sensing Data, 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam (December 2019).
  2. Ito, S., Zettsu, K.: Assessing a risk-avoidance navigation system based on localized torrential rain data, 2019 8th International Conference on Transportation and Traffic Engineering (ICTTE 2019), Auckland, New Zealand, pp.30-34 (December 2019).
  3. Zettsu, K.: Transforming Sensing Data into Smart Data for Smart Sustainable Cities, The Seventh International Conference on Big Data Analytics (BDA2019), Ahmedabad, Gujarat, India, Vol. 11932, pp.3-19 (December 2019).【招待講演】
  4. Dao, M. S., Nguyen, N. T., Zettsu, K.: Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion, 2019 IEEE International Conference on Big Data (IEEE Big Data 2019), Los Angeles, USA, pp.2205-2214 (December 2019).
  5. Vo, P. B., Phan, T. D., Dao, M. S., Zettsu, K.: Association Model between Visual Feature and AQI Rank Using Lifelog Data, 2019 IEEE International Conference on Big Data (IEEE Big Data 2019), Los Angeles, USA, pp.4197-4200 (December 2019).
  6. Zhao, P., Zettsu, K.: Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution, 2019 IEEE International Conference on Big Data (IEEE Big Data 2020), Los Angeles, USA, pp.5620-5629 (December 2019).
  7. Nguyen, N. T., Dao, M. S., Zettsu, K.: Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data, 2019 IEEE International Conference on Big Data (IEEE Big Data 2019), Los Angeles, USA, pp.1669-1674 (November 2019).
  8. Kiran, R. U., Saideep, C., Zettsu, K., Toyoda, M., Reddy, P. K.: Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases, 2019 IEEE International Conference on Big Data (IEEE BigData 2019), Los Angeles, CA, USA (December 2019).
  9. Dao, M. S., Zhao, P., Sato, T., Zettsu, K., Dang-Nguyen D. T., Gurrin, C., Nguyen, N. T.: Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis, MediaEval Benchmarking Initiative for Multimedia Evaluation (MediaEval 2019), Antipolis, France (November 2019).
  10. Dao, M. S., Vo, A. K., Phan, T. D., Zettsu, K.: BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs, CLEF2019 Working Notes, CEUR Workshop Proceedings, Lugano, Switzerland, CEUR-WS.org (September 2019).
  11. Phan, T. D., Dao, M. S., Zettsu, K.: An Interactive Watershed-Based Approach for Lifelog Moment Retrieval, 5th IEEE International Conference on Multimedia Big Data (BigMM 2019), Singapore, pp.282-286 (September, 2019).
  12. Vo, A. K., Dao, M.S., Zettsu, K.: From Chaos to Order: The Role of Content and Context of Daily Activities in Rearranging Lifelogs Data, 5th IEEE International Conference on Multimedia Big Data (BigMM 2019), Singapore, pp.292-296 (September, 2019).
  13. Ito, S., Zettsu, K.: Report on a Hackathon for Car Navigation Using Traffic Risk Data, 3rd International Conference on Intelligent Traffic and Transportation (ICITT 2019), Amsterdam, The Netherlands (September, 2019).
  14. Kiran, R. U., Zettsu, K., Toyoda, M. Kitsuregawa, M., Philippe F. V., Reddy, P. K.: Discovering Spatial High Utility Itemsets in Spatiotemporal Databases, 31st International Conference on Scientific and Statistical Database Management (SSDBM 2019), Santa Cruz, CA, USA, pp.49-61 (July, 2019).
  15. Lv, Z., Mehmood, I., Vento, M., Dao, M. S., Ota, K., Saggese A.: IEEE Access Special Section Editoria: Multimedia Analysis for Internet-of-Things, IEEE Access Vol. 7, pp.65211-65218 (May 2019). DOI: 10.1109/ACCESS.2019.2915487
  16. 是津耕司: 都市環境ビッグデータの統合分析基盤, 環境技術 48(3), pp.116-120 (2019年5月）.
  17. Zhao, P., Zettsu, K.: Convolution Recurrent Neural Networks Based Dynamic Transboundary Air Pollution Prediction, 2019 IEEE Big Data Analytics (ICDBA 2019), Suzhou, China, pp.410-413 (March, 2019).
  18. Sato, T., Dao, M. S., Kuribayashi, K. and Zettsu, K.: SEPHLA: Challenges and Opportunities Within Environment-Personal Health Archives, 25th International Conference on MultiMedia Modeling (MMM 2019) Thessaloniki, Greece, Lecture Notes in Computer Science Vol. 11295, pp 325-337 (January, 2019). DOI: 978-3-030-05710-7_27

主なメディア・新聞報道等

  1. 日刊自動車新聞 「企業の垣根を越えカーナビを考える／交通リスクデータ活用をテーマにソフト開発競う都内でハッカソン」（2019年2月27日）.
  2. レスポンス 「カーナビ開発ハッカソン、ゼンリンが支援…気象災害やヒヤリハットデータを活用」（2019年2月18日）. [リンク]
  3. ゼンリンデータコム 「国立研究開発法人 情報通信研究機構が主催した、カーナビシミュレーターを用いた新しいナビゲーションシステムを開発するハッカソンの開催報告」（2019年2月27日）.[リンク]