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List of all published papers by NICT

FY 2020

Major Publications

  1. Kiran, R. U., Ito, S., Dao, M. S., Zettsu, K., Wu, C. W., Watanobe, Y., Paik, I., Thang, T. C.: Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture, 2020 IEEE International Conference on Big Data (IEEE Big Data 2020), online, pp.4727-4733 (December 2020).
  2. Duong, D. Q., Le, Q. M., Nguyen, T. T. L., Bo, D., Nguyen, D., Dao, M. S., Nguyen, B. T.: Multi-source Machine Learning for AQI Estimation, 2020 IEEE International Conference on Big Data (IEEE Big Data 2020), online, pp.4567-4576 (December 2020).
  3. Zhao, P., Zettsu, K.: MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution Prediction, 2020 IEEE International Conference on Big Data (IEEE Big Data 2020), online, pp.1442-1448 (December 2020).
  4. Dao, M. S., Nguyen, N. T., Kiran, R. U., Zettsu, K.: Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion, 2020 IEEE International Conference on Big Data (IEEE Big Data 2020), online, pp.910-915 (December 2020).
  5. Likhitha, P., Ravikumar, P., Kiran, R. U., Hayamizu, Y., Goda, K., Toyoda, M., Zettsu, K., Shrivastava, S.: Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases, 2020 IEEE International Conference on Big Data (IEEE Big Data 2020), online, (December 2020).
  6. Tsukada, R., Zhan, H., Ishiwatari, S., Toyoda, M., Umemoto, K., Shang, H., Zettsu, K.: Crowd Forecasting at Venues with Microblog Posts Referring to Future Events, 2020 IEEE International Conference on Big Data Workshop on Big Spatial Data (IEEE BigData 2020), online, (December 2020).
  7. Zhao, P., Dao, M. S., Nguyen, N. T., Nguyen, T. B., Nguyen, D. T. D., Gurrin, C.: Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis, 2020 MediaEval Multimedia Benchmark (MediaEval 2020), online, pp.1-2 (December 2020).
  8. Dao, M. S., Nguyen, N. T., Kiran, R. U., Zettsu, K.: Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns, 20th IEEE International Conference on Data Mining ICDM 2020 - UDML workshop, online, (November 2020).
  9. Kiran, R. U., Shrivastava, S., Viger, P. F., Zettsu, K., Toyoda, M., Kitsuregawa, M.: Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases, 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020), online, pp.445-448 (November 2020).
  10. Nguyen, A. V. M., Tran, V. L., Dao, M. S., Zettsu, K.: Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance, CLEF 2020 - image CLEFlifelog, online, Vol. 2696, pp.1-13 (October 2020).
  11. Tran, V. L., Khoa, T. D., Nguyen, A. V. M., Vo, A. K., Dao, M. S., Zettsu, K.: An interactive atomic-cluster watershed-based system for lifelog moment retrieval, CLEF 2020 - image CLEFlifelog, online, Vol. 2696, pp.1-16 (October 2020).
  12. Nguyen, N. T., Dao, M. S., Zettsu, K.: Leveraging 3D-Raster-Images and DeepCNN with Multi-source Urban Sensing Data for Traffic Congestion Prediction, The 31st International Conference on Database and Expert Systems Applications - DEXA2020, online, Vol. 12392, pp.396-406 (September 2020).
  13. Kiran, R. U., Watanobe, Y., Chaudhury, B., Zettsu, K., Toyoda, M., Kitsuregawa, M.: Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases, The 7th IEEE International Conference on Data Science and Advanced Analytics（DSAA 2020), online, pp.11-20 (September 2020).
  14. Sato, T., Kuroda, T., Kasai, Y.: Novel index to comprehensively evaluate air cleanliness: the Clean aIr Index (CII), Geoscience Communication, Vol. 3, pp.233-247 (August 2020).
  15. Kiran, R. U., Saideep, C., Ravikumar, P., Zettsu, K., Toyoda, M., Kitsuregawa, M., Reddy, P. K.: Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), online, pp.1-8 (July 2020).
  16. Zettsu, K.: From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities, The 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop (ICDAR '20), online, pp.1-2 (July 2020).【基調講演】
  17. Nguyen, A. V. M., Phan, T. D., Nguyen, A. K., Trang, V. L., Dao, M. S., Zettsu, K.: BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine, LSC@ICMR 2020, online, pp.43-49 (June 2020).
  18. Nguyen, D., Nguyen, Q. H., Dao, M. S., Nguyen, D. T. D., Gurrin, C., Nguyen, B. T.: Duplicate Identification Algorithms in SaaS Platforms, The 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop (ICDAR '20), online, pp.33-38 (June 2020).
  19. Nguyen, T. P. V., Thanh, T. T.: Microwave Doppler Radar Sensing System for Vital Sign Detection: From Evaluated Accuracy Models to the Intelligent System, The 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop (ICDAR '20), online, pp.3-8 (June 2020).
  20. Nguyen, N. T., Pham, T. T., Dang, T. X., Dao, M. S., Nguyen, D. T. D., Gurrin, C., Nguyen, B. T.: Malware Detection Using System Logs, The 2020 on Intelligent Cross-Data Analysis and Retrieval Workshop (ICDAR '20), online, pp.9-14 (June 2020).
  21. Cuong, D. V., Nguyen, D. H., Huynh, S., Huynh, P., Gurrin, C., Dao, M. S., Nguyen, D. T. D., Nguyen, B. T.: A Framework for Paper Submission Recommendation System, ACM ICMR 2020 (ICMR 2020), online, pp.393-396 (June 2020).
  22. Nguyen, Q. H., Nguyen, D. H., Dao, M. S., Nguyen, D. T. D., Gurrin, C., Nguyen, B. T.: An Active Learning Framework for Duplicate Detection in SaaS Platforms, ACM ICMR 2020 (ICMR 2020), online, pp.412-415 (June 2020).
  23. Tran, V. L., Nguyen, A. V. M., Phan, T. D., Vo, A. K., Dao, M. S., Zettsu, K.: An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support, ACM ICMR 2020 (ICMR 2020), online, pp.416-420 (June 2020).
  24. Phan, T. D., Dao, M. S., Zettsu, K.: Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search,International Journal of Multimedia Data Engineering and Management (IJMDEM) 11(2), pp.31-48 (April 2020).
  25. Kiran, R. U., Reddy, P. P. C., Zettsu, K., Toyoda, M., Kitsuregawa, M., Reddy, P. K.: Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases, IEEE Access, Vol. 8, pp.27584-27596 (January 2020).