Publications (2023)

Journal
Conference

Journal

1.	Dukundane Gashongore Prince, Savong Bou, "Fast Relevant Reature Selection Based On Markov Boundary Learning From Data Stream For Classification Tasks", Journal of Information Processing, Vol. 31, pp. 321-331, 2023. DOI: https://doi.org/10.2197/ipsjjip.31.321
2.	John Bosco Mugeni, Toshiyuki Amagasa, "A Graph-Based Blocking Approach for Entity Matching Using Contrastively Learned Embeddings," ACM SIGAPP Applied Computing Review, Vol. 22, Issue 4, pp 37-46, Feb. 2023. DOI: https://doi.org/10.1145/3584014.3584017
3.	Vijdan Khalique, Hiroyuki Kitagawa, and Toshiyuki Amagasa, "BPF: A Novel Cluster Boundary Points Detection Method for Static and Streaming Data", Knowledge and Information Systems, 65, pp. 2991-3022, July 2023. (ImpactFactor 2.7 (2022)) DOI: https://doi.org/10.1007/s10115-023-01854-1
4.	Quang-Van Doan, Toshiyuki Amagasa, Thanh-Ha Pham, Takuto Sato, Fei Chen, and Hiroyuki Kusaka, "Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data," Geoscientific Model Development, Vol. 6, pp. 2215-233, Apr. 2023. https://doi.org/10.5194/gmd-16-2215-2023
5.	Ryo Harada, Keitaro Kume, Kazumasa Horie, Takuro Nakayama, Yuji Inagaki, Toshiyuki Amagasa, "AtLASS: A Scheme for End-to-End Prediction of Splice Sites using Attention-based Bi-LSTM," IPSJ Transactions on Bioinformatics, Vol. 16, pp. 20-27, 2023.
6.	Savong Bou, Makoto Miwa, Yutaka Sasaki, "Two evaluations on Ontology-Style Relation annotations", Computer Speech & Language, Vol. 84, 2023. (Impact Factor 4.3).

Conference

1.	Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa, "CPiX: Real-Time Analytics over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation", Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023), TKDE Poster Session Track, pp. 3759-3760 , Anaheim, California, USA, April 3rd - 7th 2023.
2.	Yuma Kokubo and Toshiyuki Amagasa, "Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments," SAC 2023, 2023.
3.	Hailemariam Mehari Yohannes and Toshiyuki Amagasa, "Long Text Classification using Pre-trained Language Model for a Low-resource Language", ICICT2023, 2023.
4.	Hailemariam Mehari Yohannes, Steven Lynden, Akiyoshi Matono, Toshiyuki Amagasa, "Self-Attention-based Data Augmentation Method for Text Classification," ICMLC 2023.
5.	Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa, "Uncovering the Largest Community in Social Networks at Scale," In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI2023), pp.2251-2260, Macao, China, August 2023.
6.	John Bosco Mugeni, Steve Lynden, Toshiyuki Amagasa and Akiyoshi Matono, "AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning," 27th International Database Engineering & Applications Symposium (IDEAS 2023), Heraklion, Crete, Greece, May 5-7, 2023.
7.	Toshi-hiro Ito, Hiroaki Shiokawa, "An Effective Graph-based Music Recommendation Algorithm for Automatic Playlist Continuation," In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2023), pp. 459-463, Marrakesh, Morocco, November 2023. (Full paper)
8.	Kosuke Yamasaki, Toshiyuki Amagasa, "RDF Data Partitioning for Efficient SPARQL Query Processing with Spark SQL", In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 92-106, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
9.	Yuuki Ohmori, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono, “Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-driven Entity Linking”, In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 309-324, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
10.	Ryuichi Yagi, Yuma Naoi, Hiroaki Shiokawa, “Fast Correlated DNA Subsequence Search via Graph-based Representation,” In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 339-347, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
11.	Shohei Matsugu, Hiroaki Shiokawa, “Efficient Maximum k-plex Search via Selective Branch-and-Bound,” In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 348-357, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
12.	Yuma Naoi, Hiroaki Shiokawa, “Boosting Similar Compounds Searches via Correlated Subgraph Analysis,” In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 464-477, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
13.	Yuma Yasuda, Hiroaki Shiokawa, “Efficient Similarity Searches for Multivariate Time Series: A Hash-based Approach,” In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 478-490, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
14.	Rina Trisminingsih, Salman Ahmed Shaikh, Toshiyuki Amagasa, Hiroyuki Kitagawa, Akiyoshi Matono, “TraPM: A Framework for Online Pattern Matching over Trajectory Streams”, In Proceedings of the 25th International Conference on Information Integration and Web Intelligence (iiWAS2023), pp. 510-525, Bali, Indonesia, Dec. 4-6, 2023. (Acceptance ratio 32%)
15.	Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono, "Efficient Missing Value Imputation by Maximum Distance Likelihood", In Proceedings of the 2023 IEEE International Conference on Big Data (IEEE BigData 2023), pp. 331-338, Sorento, Italy, December 15th-18th 2023. (Short Paper)
16.	Md Abu Marjan and Toshiyuk AMAGASA, "CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion", In Proceedings of the 2023 IEEE International Conference on Big Data (IEEE BigData 2023), pp. 1214-1221, Sorento, Italy, December 15th-18th 2023. (Short Paper)
17.	Shogo Sato, Tadashi Masuda, and Toshiyuki Amagasa, "Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration," 3rd Workshop on Knowledge Graphs and Big Data in conjunction with IEEE BigData 2023, pp. 2958-2964, Sorrento, Italy, December 15th-18th 2023.