統合ビッグデータ研究センター
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研究業績
2020年度
主な論文・著書・特許等
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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】
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
- 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).
主なメディア・新聞報道等
- 日刊工業新聞「NICT先端研究(158)事象の関係性 発見・予測」(2020年12月29日). [リンク]