Publications (2022)

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,
â€Big Sequence Data Analysis: From Stream Processing Technology to Applications in Sleep Medicineâ€ï¼Œ
The 23rd IEEE International Conference on Information Reuse and Integration for Data Science (IRI2022) (Keynote Talk), Online , August 9, 2022.