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2020 – today
- 2023
[j30]Sajal Debnath
, Md. Manjur Ahmed, Samir Brahim Belhaouari, Toshiyuki Amagasa, Mostafijur Rahman:
Buffer-based adaptive fuzzy classifier. Appl. Intell. 53(11): 14448-14469 (2023)- [j29]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) - [j28]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) - [j27]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) - [c143]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 - [c142]Mehari Yohannes Hailemariam, Toshiyuki Amagasa:
Long Text Classification Using Pre-trained Language Model for a Low-Resource Language. ICICT 2023: 115-120 - [c141]Mehari Yohannes Hailemariam, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa:
Self-Attention-based Data Augmentation Method for Text Classification. ICMLC 2023: 239-244 - [c140]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 - [c139]Yuma Kokubo, Toshiyuki Amagasa:
Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments. SAC 2023: 683-690 - [e5]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]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]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]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]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]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]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
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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]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]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]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]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
InTrans: Fast Incremental Transformer for Time Series Data Prediction. DEXA (2) 2022: 47-61 - [c134]Kota Yukawa, Toshiyuki Amagasa:
BLOCK-OPTICS: An Efficient Density-Based Clustering Based on OPTICS. DEXA (2) 2022: 291-296 - [c133]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]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]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]Hailemariam Mehari Yohannes, Toshiyuki Amagasa:
A Scheme for News Article Classification in a Low-Resource Language. iiWAS 2022: 519-530 - [c129]Kyohei Tsuihiji, Toshiyuki Amagasa:
GPU-Accelerated Reverse K-Nearest Neighbor Search for High-Dimensional Data. NBiS 2022: 279-288 - [c128]John Bosco Mugeni, Toshiyuki Amagasa:
A graph-based blocking approach for entity matching using pre-trained contextual embedding models. SAC 2022: 357-364 - [c127]Hailemariam Mehari Yohannes, Toshiyuki Amagasa:
Named-entity recognition for a low-resource language using pre-trained language model. SAC 2022: 837-844 - 2021
- [j21]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) - [j20]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]Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Augmented Lineage: Traceability of Data Analysis Including Complex UDFs. DEXA (1) 2021: 65-77 - [c125]Shuya Suganami, Toshiyuki Amagasa:
GPU-Accelerated Vertex Orbit Counting for 5-Vertex Subgraphs. DEXA (1) 2021: 205-217 - [c124]Kota Yukawa, Toshiyuki Amagasa:
Online Optimized Product Quantization for Dynamic Database Using SVD-Updating. DEXA (1) 2021: 273-284 - [c123]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]Marika Nakano, Toshiyuki Amagasa:
Query Processing over Multiple Knowledge Bases and Text Documents. iiWAS 2021: 212-216 - [c121]Taro Aso, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A Method for Searching Documents using Knowledge Bases. iiWAS 2021: 250-258 - [c120]Happy Buzaaba, Toshiyuki Amagasa:
A Scheme for Efficient Question Answering with Low Dimension Reconstructed Embeddings. iiWAS 2021: 303-310 - [c119]Toshiyuki Hirakata, Toshiyuki Amagasa:
A Dynamic Load-balancing Method for Distributed RDF Stream Processing Systems. iiWAS 2021: 410-414 - [c118]Hina Suzuki, Hanxiong Chen, Kazutaka Furuse, Toshiyuki Amagasa:
Dense Nearest Neighborhood Query. INTAP 2021: 3-16 - [c117]Shunta Ishihara, Chiemi Watanabe, Toshiyuki Amagasa:
Supporting Insertion in Encrypted Multi-Maps with Volume Hiding. SMARTCOMP 2021: 264-269 - [i2]Jinto Yamanaka, Yasuhiro Hayase, Toshiyuki Amagasa:
Recommending Extract Method Refactoring Based on Confidence of Predicted Method Name. CoRR abs/2108.11011 (2021) - 2020
- [j19]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]Shuya Suganami, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating All 5-Vertex Subgraphs Counting Using GPUs. DEXA (1) 2020: 55-70 - [c115]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]Taro Aso, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Relation-oriented faceted search method for knowledge bases. iiWAS 2020: 192-199 - [c113]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]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
- 2019
- [j18]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) - [j17]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]Kento Miura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Accelerating Regular Path Queries using FPGA. ADMS@VLDB 2019: 47-54 - [c110]Hiroyoshi Ito, Toshiyuki Amagasa:
An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints. BigComp 2019: 1-8 - [c109]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]Happy Buzaaba, Toshiyuki Amagasa:
A Modular Approach for Efficient Simple Question Answering Over Knowledge Base. DEXA (2) 2019: 237-246 - [c107]Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. IJCAI 2019: 4597-4604 - [c106]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]Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Scaling Fine-grained Modularity Clustering for Massive Graphs. CoRR abs/1905.11275 (2019) - 2018
- [j16]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]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]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]Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima:
Efficient Pipeline Processing of Crowdsourcing Workflows. CIKM 2018: 1559-1562 - [c102]Kenta Sugano, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Approximate Set Similarity Join Using Many-Core Processors. DEXA (2) 2018: 214-222 - [c101]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]Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Network-Word Embedding for Dynamic Text Attributed Networks. ICSC 2018: 334-339 - 2017
- [c99]Takahiro Komamizu, Sayami Okumura, Toshiyuki Amagasa, Hiroyuki Kitagawa:
FORK: Feedback-Aware ObjectRank-Based Keyword Search over Linked Data. AIRS 2017: 58-70 - [c98]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]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]Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU-Accelerated Graph Clustering via Parallel Label Propagation. CIKM 2017: 567-576 - [c95]Takahito Kaiho, Wenjie Lu, Toshiyuki Amagasa, Jun Sakuma:
Towards Privacy-Preserving Record Linkage with Record-Wise Linkage Policy. DEXA (1) 2017: 233-248 - [c94]Chihiro Sakazume, Hiroyuki Kitagawa, Toshiyuki Amagasa:
DIO: Efficient interactive outlier analysis over dynamic datasets. ICDIM 2017: 228-235 - [c93]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]Mateus S. H. Cruz, Toshiyuki Amagasa, Chiemi Watanabe, Wenjie Lu, Hiroyuki Kitagawa:
Secure similarity joins using fully homomorphic encryption. iiWAS 2017: 224-233 - [c91]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
CROISSANT: centralized relational interface for web-scale SPARQL endpoints. iiWAS 2017: 284-288 - [c90]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]Yuta Kusamura, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yusuke Kozawa:
Efficient Content-based Image Retrieval for Position Estimation on GPU. MoMM 2017: 58-66 - [c88]Takahiro Komamizu, Yasuhiro Hayase, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Exploring Identical Users on GitHub and Stack Overflow. SEKE 2017: 584-589 - 2016
- [j15]Toshiyuki Amagasa:
Foreword. IEICE Trans. Inf. Syst. 99-D(4): 895 (2016) - [j14]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) - [j13]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) - [j12]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]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]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]Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations. EJC 2016: 465-480 - [c84]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]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Interleaving Clustering of Classes and Properties for Disambiguating Linked Data. ICADL 2016: 251-256 - [c82]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Visual Spatial-OLAP for Vehicle Recorder Data on Micro-sized Electric Vehicles. IDEAS 2016: 358-363 - [c81]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]Yuta Kusamura, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU Acceleration of Content-Based Image Retrieval Based on SIFT Descriptors. NBiS 2016: 342-347 - 2015
- [j11]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) - [j10]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Path-based keyword search over XML streams. Int. J. Web Inf. Syst. 11(3): 347-369 (2015) - [c79]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]Yusuke Kozawa, Fumitaka Hayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Parallel Canopy Clustering on GPUs. DEXA (1) 2015: 334-348 - [c77]Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU Acceleration of Set Similarity Joins. DEXA (1) 2015: 384-398 - [c76]Eri Kataoka, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A social reading system for EPUB publications. iiWAS 2015: 6:1-6:10 - [c75]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
SPOOL: a SPARQL-based ETL framework for OLAP over linked data. iiWAS 2015: 49:1-49:10 - [c74]Kazumasa Kumamoto, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A System for Querying RDF Data Using LINQ. NBiS 2015: 452-457 - [c73]Saki Ueda, Yuto Yamaguchi, Hiroyuki Kitagawa, Toshiyuki Amagasa:
Tweet Location Inference Based on Contents and Temporal Association. WISE (2) 2015: 259-266 - 2014
- [j9]Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Probabilistic Frequent Itemset Mining on a GPU Cluster. IEICE Trans. Inf. Syst. 97-D(4): 779-789 (2014) - [c72]Chongjie Li, Toshiyuki Amagasa, Hiroyuki Kitagawa, Gautam Srivastava:
Label-bag based Graph Anonymization via Edge Addition. C3S2E 2014: 1:1-1:9 - [c71]Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Yohei Ikawa:
Online User Location Inference Exploiting Spatiotemporal Correlations in Social Streams. CIKM 2014: 1139-1148 - [c70]Yuta Sakakura, Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
An Improved Method for Efficient PageRank Estimation. DEXA (2) 2014: 208-222 - [c69]Toshiyuki Amagasa, Fan Zhang, Jun Sakuma, Hiroyuki Kitagawa:
A scheme for privacy-preserving ontology mapping. IDEAS 2014: 87-95 - [c68]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A scheme of automated object and facet extraction for faceted search over XML data. IDEAS 2014: 338-341 - [c67]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Filtering XML Streams by XPath and Keywords. iiWAS 2014: 410-419 - [c66]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Extracting Facets from Textual Contents for Faceted Search over XML Data. iiWAS 2014: 420-429 - [c65]Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Frequent-Pattern Based Facet Extraction from Graph Data. NBiS 2014: 318-323 - [c64]Jun Hwang, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
GPU Acceleration of Similarity Search for Uncertain Time Series. NBiS 2014: 627-632 - [c63]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Keyword Search with Path-Based Filtering over XML Streams. SRDS 2014: 337-338 - 2013
- [c62]Tadashi Murakami, Toshiyuki Amagasa, Hiroyuki Kitagawa:
DBPowder: A Flexible Object-Relational Mapping Framework Based on a Conceptual Model. COMPSAC 2013: 589-598 - [c61]Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Landmark-based user location inference in social media. COSN 2013: 223-234 - [c60]Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Parallel and Distributed Mining of Probabilistic Frequent Itemsets Using Multiple GPUs. DEXA (1) 2013: 145-152 - [c59]Toshiyuki Amagasa, Mana Seino, Hiroyuki Kitagawa:
Energy-Efficient XML Stream Processing through Element-Skipping Parsing. DEXA Workshops 2013: 254-258 - [c58]Yuto Yamaguchi, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Recommending Fresh URLs Using Twitter Lists. ICWSM 2013 - [c57]Eri Kataoka, Toshiyuki Amagasa, Hiroyuki Kitagawa:
A System for Social Reading based on EPUB3. iiWAS 2013: 72 - [c56]