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2024
[j33]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Finformer: Fast Incremental and General Time Series Data Prediction. IEICE Trans. Inf. Syst. 107(5): 625-637 (2024)
[j32]
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Keisuke Kawano, Satoshi Koide, Hiroaki Shiokawa, Toshiyuki Amagasa:
Multi-Dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs. IEICE Trans. Inf. Syst. 107(5): 683-693 (2024)
[c154]
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  - conf/dawak/MugeniLAM24
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John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. DaWaK 2024: 51-65
[c153]
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Takuya Mizokami, Savong Bou, Toshiyuki Amagasa:
Subtree Similarity Search Based on Structure and Text. DaWaK 2024: 72-87
[c152]
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Shun Kawakami, Savong Bou, Toshiyuki Amagasa:
LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams. DaWaK 2024: 322-328
[c151]
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Hailemariam Mehari Yohannes, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
Semi-supervised Named Entity Recognition for Low-Resource Languages Using Dual PLMs. NLDB (1) 2024: 166-180
[c150]
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  - conf/sac/KokuboA24
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Yuma Kokubo, Toshiyuki Amagasa:
Cost-based Load Balancing of RDF Reasoning in Fog-Computing Environments. SAC 2024: 572-579
[e7]
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  - conf/dexa/2024-1
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Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 35th International Conference, DEXA 2024, Naples, Italy, August 26-28, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14910, Springer 2024, ISBN 978-3-031-68308-4 [contents]
[e6]
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Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 35th International Conference, DEXA 2024, Naples, Italy, August 26-28, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14911, Springer 2024, ISBN 978-3-031-68311-4 [contents]
[i5]
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  - journals/corr/abs-2401-11052
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Luca Foppiano, Guillaume Lambard, Toshiyuki Amagasa, Masashi Ishii:
Mining experimental data from Materials Science literature with Large Language Models. CoRR abs/2401.11052 (2024)
2023
[j31]
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  - journals/apin/DebnathABAR23
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Sajal Debnath, Md. Manjur Ahmed, Samir Brahim Belhaouari, Toshiyuki Amagasa, Mostafijur Rahman:
Buffer-based adaptive fuzzy classifier. Appl. Intell. 53(11): 14448-14469 (2023)
[j30]
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  - journals/eswa/HalderHAA23
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Bohnishikha Halder, K. M. Azharul Hasan, Toshiyuki Amagasa, Md. Manjur Ahmed:
Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream. Expert Syst. Appl. 231: 120578 (2023)
[j29]
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  - journals/kais/KhaliqueKA23
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Vijdan Khalique, Hiroyuki Kitagawa, Toshiyuki Amagasa:
BPF: a novel cluster boundary points detection method for static and streaming data. Knowl. Inf. Syst. 65(7): 2991-3022 (2023)
[j28]
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Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Augmented lineage: traceability of data analysis including complex UDF processing. VLDB J. 32(5): 963-983 (2023)
[c149]
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  - conf/bigdataconf/BouAKSM23
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
Efficient Missing Value Imputation by Maximum Distance Likelihood. IEEE Big Data 2023: 331-338
[c148]
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  - conf/bigdataconf/MarjanA23
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Md Abu Marjan, Toshiyuki Amagasa:
CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion. IEEE Big Data 2023: 1214-1221
[c147]
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  - conf/bigdataconf/SatoMA23
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Shogo Sato, Tadashi Masuda, Toshiyuki Amagasa:
Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration. IEEE Big Data 2023: 2958-2964
[c146]
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  - conf/icde/BouKA23
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Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa:
CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation. ICDE 2023: 3759-3760
[c145]
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  - conf/icict2/YohannesA23
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Mehari Yohannes Hailemariam, Toshiyuki Amagasa:
Long Text Classification Using Pre-trained Language Model for a Low-Resource Language. ICICT 2023: 115-120
[c144]
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  - conf/icmlc2/HailemariamLMA23
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Mehari Yohannes Hailemariam, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa:
Self-Attention-based Data Augmentation Method for Text Classification. ICMLC 2023: 239-244
[c143]
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  - conf/ideas/MugeniLAM23
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John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning. IDEAS 2023: 140-147
[c142]
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  - conf/iiwas/YamasakiA23
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Kosuke Yamasaki, Toshiyuki Amagasa:
RDF Data Partitioning for Efficient SPARQL Query Processing with Spark SQL. iiWAS 2023: 92-106
[c141]
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  - conf/iiwas/OhmroiKAM23
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Yuuki Ohmroi, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking. iiWAS 2023: 309-324
[c140]
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  - conf/iiwas/TrisminingsihSAKM23
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Rina Trisminingsih, Salman Ahmed Shaikh, Toshiyuki Amagasa, Hiroyuki Kitagawa, Akiyoshi Matono:
TraPM: A Framework for Online Pattern Matching Over Trajectory Streams. iiWAS 2023: 510-525
[c139]
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  - conf/sac/KokuboA23
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Yuma Kokubo, Toshiyuki Amagasa:
Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments. SAC 2023: 683-690
[e5]
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  - conf/apweb/2022-1
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Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13421, Springer 2023, ISBN 978-3-031-25157-3 [contents]
[e4]
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  - conf/apweb/2022-2
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Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13422, Springer 2023, ISBN 978-3-031-25197-9 [contents]
[e3]
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  - conf/apweb/2022-3
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Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13423, Springer 2023, ISBN 978-3-031-25200-6 [contents]
[e2]
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  - conf/dexa/2023-1
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Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 34th International Conference, DEXA 2023, Penang, Malaysia, August 28-30, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14146, Springer 2023, ISBN 978-3-031-39846-9 [contents]
[e1]
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Christine Strauss, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 34th International Conference, DEXA 2023, Penang, Malaysia, August 28-30, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14147, Springer 2023, ISBN 978-3-031-39820-9 [contents]
[i4]
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  - journals/corr/abs-2305-18725
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John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning. CoRR abs/2305.18725 (2023)
[i3]
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  - journals/corr/abs-2309-10923
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Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii:
Semi-automatic staging area for high-quality structured data extraction from scientific literature. CoRR abs/2309.10923 (2023)
2022
[j27]
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  - journals/apin/HalderAAIFR22
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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. 52(5): 5561-5583 (2022)
[j26]
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  - journals/jip/KobayashiMFBA22
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Ryohei Kobayashi, Kento Miura, Norihisa Fujita, Taisuke Boku, Toshiyuki Amagasa:
An Open-source FPGA Library for Data Sorting. J. Inf. Process. 30: 766-777 (2022)
[j25]
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  - journals/sensors/BourahmouneIA22
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Katia Bourahmoune, Karlos Ishac, Toshiyuki Amagasa:
Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion. Sensors 22(14): 5337 (2022)
[j24]
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  - journals/tkde/BouKA22
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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. 34(11): 5239-5250 (2022)
[j23]
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  - journals/tlsdkcs/YukawaA22
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Kota Yukawa, Toshiyuki Amagasa:
Online Optimized Product Quantization for ANN Queries over Dynamic Database using SVD-Updating. Trans. Large Scale Data Knowl. Centered Syst. 52: 86-102 (2022)
[c138]
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  - conf/bigdataconf/MiuraKAKFB22
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Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, Taisuke Boku:
An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs. IEEE Big Data 2022: 415-422
[c137]
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  - conf/bigdataconf/TakdirKA22
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Takdir, Hiroyuki Kitagawa, Toshiyuki Amagasa:
Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot. IEEE Big Data 2022: 3374-3382
[c136]
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  - conf/bigdataconf/BourahmouneICA22
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Katia Bourahmoune, Karlos Ishac, Marc Carmichael, Toshiyuki Amagasa:
Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction. IEEE Big Data 2022: 3986-3991
[c135]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
InTrans: Fast Incremental Transformer for Time Series Data Prediction. DEXA (2) 2022: 47-61
[c134]
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  - conf/dexa/YukawaA22
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Kota Yukawa, Toshiyuki Amagasa:
BLOCK-OPTICS: An Efficient Density-Based Clustering Based on OPTICS. DEXA (2) 2022: 291-296
[c133]
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  - conf/dolap/IshiharaWA22
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Shunta Ishihara, Chiemi Watanabe, Toshiyuki Amagasa:
Supporting Insertion in an Encrypted Multi-Maps with Volume Hiding using Trusted Execution Environment. DOLAP 2022: 61-70
[c132]
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  - conf/iiwas/YamadaKSAM22
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Masaya Yamada, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Toshiyuki Amagasa, Akiyoshi Matono:
Streaming Augmented Lineage: Traceability of Complex Stream Data Analysis. iiWAS 2022: 224-236
[c131]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
PR-MVI: Efficient Missing Value Imputation over Data Streams by Distance Likelihood. iiWAS 2022: 338-351
[c130]
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Hailemariam Mehari Yohannes, Toshiyuki Amagasa:
A Scheme for News Article Classification in a Low-Resource Language. iiWAS 2022: 519-530
[c129]
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  - conf/nbis/TsuihijiA22
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Kyohei Tsuihiji, Toshiyuki Amagasa:
GPU-Accelerated Reverse K-Nearest Neighbor Search for High-Dimensional Data. NBiS 2022: 279-288
[c128]
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  - conf/sac/MugeniA22
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John Bosco Mugeni, Toshiyuki Amagasa:
A graph-based blocking approach for entity matching using pre-trained contextual embedding models. SAC 2022: 357-364
[c127]
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Hailemariam Mehari Yohannes, Toshiyuki Amagasa:
Named-entity recognition for a low-resource language using pre-trained language model. SAC 2022: 837-844
2021
[j22]
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  - journals/ijwis/AsoAK21
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Taro Aso, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A system for relation-oriented faceted search over knowledge bases. Int. J. Web Inf. Syst. 17(6): 698-713 (2021)
[j21]
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  - journals/sncs/BuzaabaA21
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Happy Buzaaba, Toshiyuki Amagasa:
Question Answering Over Knowledge Base: A Scheme for Integrating Subject and the Identified Relation to Answer Simple Questions. SN Comput. Sci. 2(1): 25 (2021)
[c126]
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Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Augmented Lineage: Traceability of Data Analysis Including Complex UDFs. DEXA (1) 2021: 65-77
[c125]
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Shuya Suganami, Toshiyuki Amagasa:
GPU-Accelerated Vertex Orbit Counting for 5-Vertex Subgraphs. DEXA (1) 2021: 205-217
[c124]
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Kota Yukawa, Toshiyuki Amagasa:
Online Optimized Product Quantization for Dynamic Database Using SVD-Updating. DEXA (1) 2021: 273-284
[c123]
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  - conf/heart/KobayashiMFBA21
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Ryohei Kobayashi, Kento Miura, Norihisa Fujita, Taisuke Boku, Toshiyuki Amagasa:
A Sorting Library for FPGA Implementation in OpenCL Programming. HEART 2021: 10:1-10:6
[c122]
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Marika Nakano, Toshiyuki Amagasa:
Query Processing over Multiple Knowledge Bases and Text Documents. iiWAS 2021: 212-216
[c121]
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Taro Aso, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A Method for Searching Documents using Knowledge Bases. iiWAS 2021: 250-258
[c120]
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  - conf/iiwas/BuzaabaA21
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Happy Buzaaba, Toshiyuki Amagasa:
A Scheme for Efficient Question Answering with Low Dimension Reconstructed Embeddings. iiWAS 2021: 303-310
[c119]
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Toshiyuki Hirakata, Toshiyuki Amagasa:
A Dynamic Load-balancing Method for Distributed RDF Stream Processing Systems. iiWAS 2021: 410-414
[c118]
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Hina Suzuki, Hanxiong Chen, Kazutaka Furuse, Toshiyuki Amagasa:
Dense Nearest Neighborhood Query. INTAP 2021: 3-16
[c117]
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  - conf/smartcomp/IshiharaWA21
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Shunta Ishihara, Chiemi Watanabe, Toshiyuki Amagasa:
Supporting Insertion in Encrypted Multi-Maps with Volume Hiding. SMARTCOMP 2021: 264-269
[i2]
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  - journals/corr/abs-2108-11011
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Jinto Yamanaka, Yasuhiro Hayase, Toshiyuki Amagasa:
Recommending Extract Method Refactoring Based on Confidence of Predicted Method Name. CoRR abs/2108.11011 (2021)
2020
[j20]
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Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa:
L-BiX: incremental sliding-window aggregation over data streams using linear bidirectional aggregating indexes. Knowl. Inf. Syst. 62(8): 3107-3131 (2020)
[c116]
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Shuya Suganami, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating All 5-Vertex Subgraphs Counting Using GPUs. DEXA (1) 2020: 55-70
[c115]
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Kenji Mori, Naoko Okubo, Yasushi Ueda, Masafumi Katahira, Toshiyuki Amagasa:
Supporting viewpoints to review the lack of requirements in space systems with machine learning. SEAMS@ICSE 2020: 38-44
[c114]
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Taro Aso, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Relation-oriented faceted search method for knowledge bases. iiWAS 2020: 192-199
[c113]
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Kenji Mori, Naoko Okubo, Yasushi Ueda, Masafumi Katahira, Toshiyuki Amagasa:
Toward Latent Knowledge Extraction Based on the Correlation of Heterogeneous Text Data Related to Space System Development. REFSQ Workshops 2020
[c112]
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Junhu Wang, Shikha Anirban, Toshiyuki Amagasa, Hiroaki Shiokawa, Zhiguo Gong, Md. Saiful Islam:
A Hybrid Index for Distance Queries. WISE (1) 2020: 227-241

2010 – 2019

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2019
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Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs. IEICE Trans. Inf. Syst. 102-D(4): 810-820 (2019)
[j18]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scalable keyword search over relational data streams by aggressive candidate network consolidation. Inf. Syst. 81: 117-135 (2019)
[c111]
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Kento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating Regular Path Queries using FPGA. ADMS@VLDB 2019: 47-54
[c110]
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Hiroyoshi Ito, Toshiyuki Amagasa:
An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints. BigComp 2019: 1-8
[c109]
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Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima:
Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. IEEE BigData 2019: 4596-4601
[c108]
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Happy Buzaaba, Toshiyuki Amagasa:
A Modular Approach for Efficient Simple Question Answering Over Knowledge Base. DEXA (2) 2019: 237-246
[c107]
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Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. IJCAI 2019: 4597-4604
[c106]
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Katia Bourahmoune, Toshiyuki Amagasa:
AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion. IJCAI 2019: 5808-5814
[i1]
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  - journals/corr/abs-1905-11275
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Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. CoRR abs/1905.11275 (2019)
2018
[j17]
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Yuta Kusamura, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yusuke Kozawa:
Efficient Position Estimation Basedon GPU-Accelerated Content-basedImage Retrieval. J. Mobile Multimedia 14(2): 197-230 (2018)
[c105]
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Shuta Nakamae, Wataru Sakamoto, Tetsuya Negishi, Shuhei Goto, Buntarou Shizuki, Chiemi Watanabe, Toshiyuki Amagasa:
A Development of Participatory Sensing System for Foreign Visitors in PBL. ACIIDS (2) 2018: 149-158
[c104]
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Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki Amagasa, Atsuyuki Morishima:
A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing. IEEE BigData 2018: 3552-3554
[c103]
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Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima:
Efficient Pipeline Processing of Crowdsourcing Workflows. CIKM 2018: 1559-1562
[c102]
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Kenta Sugano, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Approximate Set Similarity Join Using Many-Core Processors. DEXA (2) 2018: 214-222
[c101]
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Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs. EDBT/ICDT Workshops 2018: 2-9
[c100]
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Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Network-Word Embedding for Dynamic Text Attributed Networks. ICSC 2018: 334-339
2017
[c99]
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Takahiro Komamizu, Sayami Okumura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
FORK: Feedback-Aware ObjectRank-Based Keyword Search over Linked Data. AIRS 2017: 58-70
[c98]
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Takahiro Komamizu, Jin Nakazawa, Toshiyuki Amagasa, Hiroyuki Kitagawa, Hideyuki Tokuda:
Analytical toolbox for smart city applications: Garbage collection log use case. IEEE BigData 2017: 4105-4110
[c97]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Implicit order join: Joining log data with property data by discovering implicit order-oriented keys with human assistance. IEEE BigData 2017: 4400-4406
[c96]
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Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU-Accelerated Graph Clustering via Parallel Label Propagation. CIKM 2017: 567-576
[c95]
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Takahito Kaiho, Wenjie Lu, Toshiyuki Amagasa, Jun Sakuma:
Towards Privacy-Preserving Record Linkage with Record-Wise Linkage Policy. DEXA (1) 2017: 233-248
[c94]
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Chihiro Sakazume, Hiroyuki Kitagawa, Toshiyuki Amagasa:
DIO: Efficient interactive outlier analysis over dynamic datasets. ICDIM 2017: 228-235
[c93]
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Kento Akiyama, Chisato Shinozuka, Chiemi Watanabe, Toshiyuki Amagasa, Hiroyuki Kitagawa:
An index-based secure query processing scheme for outsourced databases. iiWAS 2017: 215-223
[c92]
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Mateus S. H. Cruz, Toshiyuki Amagasa, Chiemi Watanabe, Wenjie Lu, Hiroyuki Kitagawa:
Secure similarity joins using fully homomorphic encryption. iiWAS 2017: 224-233
[c91]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
CROISSANT: centralized relational interface for web-scale SPARQL endpoints. iiWAS 2017: 284-288
[c90]
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Takahiro Komamizu, Toshiyuki Amagasa, Salman Ahmed Shaikh, Hiroaki Shiokawa, Hiroyuki Kitagawa:
SOLA: Stream OLAP-based Analytical Framework for Roadway Maintenance. MEDES 2017: 35-41
[c89]
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Yuta Kusamura, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yusuke Kozawa:
Efficient Content-based Image Retrieval for Position Estimation on GPU. MoMM 2017: 58-66
[c88]
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Takahiro Komamizu, Yasuhiro Hayase, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Exploring Identical Users on GitHub and Stack Overflow. SEKE 2017: 584-589
2016
[j16]
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Toshiyuki Amagasa:
Foreword. IEICE Trans. Inf. Syst. 99-D(4): 895 (2016)
[j15]
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Ryosuke Koyanagi, Ryo Furukawa, Tsubasa Takahashi, Takuya Mori, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A Scheme for Fast k-Concealment Anonymization. IEICE Trans. Inf. Syst. 99-D(4): 1000-1009 (2016)
[j14]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
H-SPOOL: A SPARQL-based ETL framework for OLAP over linked data with dimension hierarchy extraction. Int. J. Web Inf. Syst. 12(3): 359-378 (2016)
[j13]
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Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating Set Similarity Joins Using GPUs. Trans. Large Scale Data Knowl. Centered Syst. 28: 1-22 (2016)
[c87]
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  - conf/cisis/NishimuraAIHK16
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Yuki Nishimura, Toshiyuki Amagasa, Yuji Inagaki, Tetsuo Hashimoto, Hiroyuki Kitagawa:
A System for Phylogenetic Analyses over Alignments of Next Generation Sequence Data. CISIS 2016: 230-237
[c86]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
An Improved Method of Keyword Search over Relational Data Streams by Aggressive Candidate Network Consolidation. DEXA (1) 2016: 336-351
[c85]
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Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations. EJC 2016: 465-480
[c84]
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Takahiro Komamizu, Toshiyuki Amagasa, Salman Ahmed Shaikh, Hiroaki Shiokawa, Hiroyuki Kitagawa:
Towards Real-Time Analysis of Smart City Data: A Case Study on City Facility Utilizations. HPCC/SmartCity/DSS 2016: 1357-1364
[c83]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Interleaving Clustering of Classes and Properties for Disambiguating Linked Data. ICADL 2016: 251-256
[c82]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Visual Spatial-OLAP for Vehicle Recorder Data on Micro-sized Electric Vehicles. IDEAS 2016: 358-363
[c81]
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Saki Nagaki, Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Local Attention Analysis and Prediction of Online News Articles in Twitter. MobiQuitous (Adjunct Proceedings) 2016: 136-141
[c80]
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Yuta Kusamura, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU Acceleration of Content-Based Image Retrieval Based on SIFT Descriptors. NBiS 2016: 342-347
2015
[j12]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Facet-value extraction scheme from textual contents in XML data. Int. J. Web Inf. Syst. 11(3): 270-290 (2015)
[j11]
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Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Path-based keyword search over XML streams. Int. J. Web Inf. Syst. 11(3): 347-369 (2015)
[c79]
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Kousuke Nakabasami, Toshiyuki Amagasa, Salman Ahmed Shaikh, Franck Gass, Hiroyuki Kitagawa:
An architecture for stream OLAP exploiting SPE and OLAP engine. IEEE BigData 2015: 319-326
[c78]
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  - conf/dexa/KozawaHAK15
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Yusuke Kozawa, Fumitaka Hayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Parallel Canopy Clustering on GPUs. DEXA (1) 2015: 334-348
[c77]
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Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU Acceleration of Set Similarity Joins. DEXA (1) 2015: 384-398
[c76]
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Eri Kataoka, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A social reading system for EPUB publications. iiWAS 2015: 6:1-6:10
[c75]
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Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
SPOOL: a SPARQL-based ETL framework for OLAP over linked data. iiWAS 2015: 49:1-49:10
[c74]
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Kazumasa Kumamoto, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A System for Querying RDF Data Using LINQ. NBiS 2015: 452-457
[c73]
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