Publications (2022)

Journal
Conference
Oral Presentation (Domestic)
Keynote/Invited talk/Panelist

Journal

1.	Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa, "CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation," IEEE Trans, Knowl, Data Eng, Vol. 34, No. 11, pp. 5239-5250, 2022.
2.	Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Komal Mariam, and Kyoung-Sook Kim, "GeoFlink: An Efficient and Scalable Spatial Data Stream Management System", IEEE Access, Vol. 10, pp. 24909-24935, 2022. (Impact Factor 3.367). DOI: https://doi.org/10.1109/ACCESS.2022.3154063
3.	Katia Bourahmoune, Karlos Ishac, Toshiyuki Amagasa, "Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion," Sensors, Vol. 22, No. 14, Article No. 5337, 2022. DOI: https://doi.org/10.3390/s22145337
4.	Kazumasa Horie, Leo Ota, Ryusuke Miyamoto, Takashi Abe, Yoko Suzuki, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa, and Hiroyuki Kitagawa, "Automated sleep stage scoring employing a reasoning mechanism and evaluation of its explainability", Scientific Reports, Vol. 12, Article number 12799 (2022). (2-Year Impact Factor 4.996 (2021)) DOI: https://doi.org/10.1038/s41598-022-16334-9
5.	Suomi Kobayashi, Shohei Matsugu, Hiroaki Shiokawa, "Indexing Complex Networks for Fast Attributed kNN Queries," Social Network Analysis and Mining, Vol.12, No.82, pp.21 pages, July 2022. DOI: https://doi.org/10.1007/s13278-022-00904-w
6.	Bohnishikha Halder, Md. Manjur Ahmed, Toshiyuki Amagasa, Nor Ashidi Mat Isa, Rahat Hossain Faisal, Md. Mostafijur Rahman, "Missing information in imbalanced data stream: fuzzy adaptive imputation approach," Appl. Intell, Vol. 52, No. 5, pp. 5561-5583, 2022.
7.	Ryohei Kobayashi, Kento Miura, Norihisa Fujita, Taisuke Boku, and Toshiyuki Amagasa, "An Open-source FPGA Library for Data Sorting," IPSJ Transactions on Advanced Computing Systems, Vol. 15, No. 2, pp. 1-12, Sep., 2022.
8.	Kota Yukawa, Toshiyuki Amagasa, "Online Optimized Product Quantization for ANN Queries over Dynamic Database using SVD-Updating," Trans. Large Scale Data Knowl. Centered Syst., Vol. 52, pp. 86-102, 2022.
9.	Hailemariam Mehari Yohannes, Toshiyuki Amagasa, "A method of named entity recognition for Tigrinya," ACM SIGAPP Applied Computing Review (SIGAPP), Vol. 22, Issue 3, pp 56-68, Nov. 2022. DOI: https://doi.org/10.1145/3570733.3570737
10.	Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono, "Augmented Lineage: Traceability of Data Analysis Including Complex UDF Processing", The VLDB Journal, Springer. (Impact Factor 4.243 (2021)) DOI: https://doi.org/10.1007/s00778-022-00769-7

Conference

1.	John Bosco Mugeni, Toshiyuki Amagasa, "A graph-based blocking approach for entity matching using pre-trained contextual embedding models", The 37th ACM/SIGAPP Symposium on Applied Computing, April 2022 (SAC 2022), pp. 357-364, Virtual Conference, April 25-29, 2022.
2.	Hailemariam Mehari Yohannes, Toshiyuki Amagasa, "Named-entity recognition for a low-resource language using pre-trained language model", The 37th ACM/SIGAPP Symposium on Applied Computing, April 2022 (SAC 2022), pp. 837-844, Virtual Conference, April 25-29, 2022.
3.	Vijdan Khalique and Hiroyuki Kitagawa, "BPF: An Effective Cluster Boundary Points Detection Technique", Proc. 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), Part I, pp. 404-416, Vienna, Austria, August 22-24, 2022. (Full paper)
4.	Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, "InTrans: Fast Incremental Transformer for Time Series Data Prediction", Proc. 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), Part II, pp. 47-61, Vienna, Austria, August 22-24, 2022. (Full paper) DOI: https://doi.org/10.1007/978-3-031-12426-6_4
5.	Kota Yukawa, Toshiyuki Amagasa, "BLOCK-OPTICS: An Efficient Density-Based Clustering Based on OPTICS," Proc. 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), Part II, pp. 291-296, Vienna, Austria, August 22-24, 2022. (short paper) DOI: https://doi.org/10.1007/978-3-031-12426-6_26
6.	Kyohei Tsuihiji, Toshiyuki Amagasa, "GPU-Accelerated Reverse K-Nearest Neighbor Search for High-Dimensional Data," The 11th Int'l Workshop on Advances in Data Engineering and Mobile Computing (DEMoC-2022) in conjunction with NBiS 2022, pp. 279-288, Virtual Conference, Sept. 7, 2022. DOI: https://doi.org/10.1007/978-3-031-14314-4_28
7.	Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Kyoung-Sook Kim, "TStream: A Framework for Real-time and Scalable Trajectory Stream Processing and Analysis", Proc. 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022) (Poster Paper), Seattle, Washington, November 1-4, 2022.
8.	Ryuichi Yagi, Hiroaki Shiokawa, "Fast Top-k Similar Sequence Search on DNA Databases," Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), pp. 145-150, Virtual Conference, November 28-30, 2022. (Short paper)
9.	Suomi Kobayashi, Shohei Matsugu, Hiroaki Shiokawa, "Tree-based Graph Indexing for Fast kNN Queries," Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), pp. 195-207, Virtual Conference, November 28-30, 2022. (Full paper)
10.	Masaya Yamada, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Toshiyuki Amagasa, Akiyoshi Matono, "Streaming Augmented Lineage: Traceability of Complex Stream Data Analysis", Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), pp. 224-236, Virtual Conference, November 28-30, 2022. (Full paper)
11.	Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono, "PR-MVI: Efficient Missing Value Imputation over Data Streams by Distance Likelihood", Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), pp. 338-351, Virtual Conference, November 28-30, 2022. (Full paper)
12.	Mehari Yohannes Hailemariam, Toshiyuki Amagasa, "A Scheme for News Article Classification in a Low-Resource Language," Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), pp. 519-530, Virtual Conference, November 28-30, 2022.
13.	Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, and Taisuke Boku, "An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs", Proceedings of 2022 IEEE International Conference on Big Data (IEEE BigData2022), Osaka, Japan, December 17 - December 20, 2022. (Short Paper)
14.	Takdir, Hiroyuki Kitagawa, and Toshiyuki Amagasa, "Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot", Proceedings of 7th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data, Co-located with 2022 IEEE International Conference on Big Data (IEEE BigData2022), pp. 3374-3382, Osaka, Japan, December 17, 2022.
15.	Katia Bourahmoune, Karlos Ishac, Marc Carmichael, and Toshiyuki Amagasa, "Owro: A Novel Robot for Sitting Posture Training Based on Adaptive Human Robot Interaction," The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022) co-located with IEEE Bigdata 2022, pp. 3986-3991, Osaka, Japan, Dec. 17, 2022.

Oral Presentation (Domestic)

1.	Mujawamariya Marie Grace and Toshiyuki Amagasa, "Greenhouse Microclimate Prediction based on Neural Networks ", 信学技報 2022-07-LOIS-DC，LOIS2022-4，2022年7月7日．

Keynote/Invited talk/Panelist

1.	Hiroyuki Kitagawa， ”Big Sequence Data Analysis: From Stream Processing Technology to Applications in Sleep Medicine”， The 23rd IEEE International Conference on Information Reuse and Integration for Data Science (IRI2022) (Keynote Talk), Online , August 9, 2022.