Publications (2024)

Journal

1.Savong BOU, Toshiyuki AMAGASA, Hiroyuki KITAGAWA,
"Finformer: Fast Incremental and General Time Series Data Prediction",
IEICE Transactions on Information and Systems, 2024, Volume E107.D, Issue 5, Pages 625-637, Released on J-STAGE May 01, 2024, Online ISSN 1745-1361, Print ISSN 0916-8532,
https://doi.org/10.1587/transinf.2023DAP0003, https://www.jstage.jst.go.jp/article/transinf/E107.D/5/E107.D_2023DAP0003/_article/-char/en
2.Keisuke KAWANO, Satoshi KOIDE, Hiroaki SHIOKAWA, Toshiyuki AMAGASA,
"Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs",
IEICE Transactions on Information and Systems, 2024, Volume E107.D, Issue 5, Pages 683-693, Released on J-STAGE May 01, 2024, Online ISSN 1745-1361, Print ISSN 0916-8532,
https://doi.org/10.1587/transinf.2023DAP0014, https://www.jstage.jst.go.jp/article/transinf/E107.D/5/E107.D_2023DAP0014/_article/-char/en
3.Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa,
"O(1)-Time Complexity for Fixed Sliding-window Aggregation over Out-of-order Data Streams,"
IEEE Transactions on Knowledge and Data Engineering (Impact Factor 8.9)
4.Kazumasa Horie, Ryusuke Miyamoto, Leo Ota, Takashi Abe, Yoko Suzuki, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa, and Hiroyuki Kitagawa,
"An Ensemble Method for Improving Robustness Against the Electrode Contact Problems in Automated Sleep Stage Scoring",
Scientific Reports, Springer Nature, Vol. 14, 21894, September 2024. (2-Year Impact Factor 3.8 (2023))
DOI: , https://doi.org/10.1038/s41598-024-72612-8
5.Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, and Kyoung-Sook Kim,
"A Distributed and Scalable Framework for Real-time Trajectory Stream Processing",
IEEE Access, IEEE, Vol. 12, pp. 159426-159444, October 2024. (Impact Factor 8.9 (2023))
DOI: https://doi.org/10.1109/ACCESS.2024.3484433
6.Ryoya Tsunoda, Keitaro Kume, Rina Kagawa, Masaru Sanuki, Hiroyuki Kitagawa, Kaori Mase, and Kunihiro Yamagata,
"Machine-learning-based Identification of Patients with IgA Nephropathy Using a Computerized Medical Billing Database",
PLOS ONE, 19(12): e0312915. December 2024. https://doi.org/10.1371/journal.pone.0312915

Conference

1.Yuma Kokubo and Toshiyuki Amagasa,
"Cost-based Load Balancing of RDF Reasoning in Fog-Computing Environments,"
The 39th ACM/SIGAPP Symposium On Applied Computing (SAC 2024), pp. 572-579, Avila, Spain, April 8-12, 2024. https://doi.org/10.1145/3605098.3636047
2.Saki Tsumoto, Fusae Kawana, Kazumasa Horie, Minori Masaki, Kei Nishida, Kazuya Miyanishi, Jaehoon Seol, Morie Tominaga, Takashi Amemiya, Tetsuro Hiei, Akihiro Tani, Masaki Matsubara, Atsuyuki Morishima, Hiroyuki Kitagawa, Masashi Yanagisawa,
"Automated Generation of Narrative Sleep Reports Utilizing Portable Electroencephalogram Data through ChatGPT",
Proc. 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), pp. 376-385, Orlando, Florida, June 3-6, 2024. (Acceptance ratio 29.6%)
3.Juan Carlos Neira Almanza, Leo Ota, Kazumasa Horie, Fusae Kawana, Toshio Kokubo, Masashi Yanagisawa, Hiroyuki Kitagawa,
"Sleep and Arousal Scoring for In-home EEG Signals: A Multitask Learning Approach",
Proc. 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), pp. 147-156, Orlando, Florida, June 3-6, 2024. (Acceptance ratio 29.6%)
4.Vijdan Khalique, Hiroyuki Kitagawa, and Toshiyuki Amagasa,
"Boundary Point Detection Combining Gravity and Outlier Detection Methods,"
Proceedings of Workshop on Emerging Results in Data Science and Engineering (ERDSE), co-located with 29th International Conference on Database Systems for Advanced Applications (DASFAA), Gifu, Japan, July 2-5, 2024.
5.Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono,
"Distributed, Continuous and Real-time Trajectory Similarity Search",
Proc. 23rd IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2024), Chur, Switzerland, July 8-10, 2024.
6.Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu,
"Efficient Correlated Subgraph Searches for AI-powered Drug Discovery,"
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI2024), Jeju, South Korea, August 3-9, 2024. (Full paper)
7.Shohei Matsugu, Suomi Kobayashi, Hiroaki Shiokawa,
"An Efficient Indexing Method for Dynamic Graph kNN",
In Proceedings of the 35th International Conference on Database and Expert Systems Applications (DEXA2024), Part I, pp. 81-89, Naples, Italy, August 26-28, 2024.
8.John Bosco Mugeni, Steven Lynden, Toshiyuki Amagasa, Akiyoshi Matono,
"MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning",
In Proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024), pp. 51-65, Naples, Italy, August 26-28, 2024.
9.Takuya Mizokami, Savong Bou, Toshiyuki Amagasa,
"Subtree Similarity Search Based on Structure and Text",
In Proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024), pp. 72-87, Naples, Italy, August 26-28, 2024.
10.Shun Kawakami, Savong Bou, Toshiyuki Amagasa,
"LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams",
In Proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024), pp. 322-328, Naples, Italy, August 26-28, 2024.
11.Saki Tsumoto, Jaehoon Seol, Kazumasa Horie, Fusae Kawana, Morie Tominaga, Shigeru Chiba, Hideaki Kondo, Hiroyuki Yoshimine, Masaki Matsubara, Atsuyuki Morishima, Masahi Yanagisawa, and Hiroyuki Kitagawa,
"Automatic Sleep Stage Classification for Sleep Apnea Patients Using an In-home Sleep Electroencephalography Device",
Proc. Workshop on Big Data and AI for Healthcare, Co-located with 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington D. C., December 15, 2024. (Short Paper) (to appear)