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Steven J. Lynden
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- affiliation: National Institute of Advanced Industrial Science and Technology, Tokyo, Japan
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2020 – today
- 2024
- [c35]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 - [c34]Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono:
Inexact Graph Representation Learning. IJCNN 2024: 1-8 - [c33]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 - 2023
- [c32]Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Haitao Yu, Xin Liu, Yijun Duan:
Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM 2023: 5361-5365 - [c31]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI 2023: 583-589 - [c30]Mehari Yohannes Hailemariam, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa:
Self-Attention-based Data Augmentation Method for Text Classification. ICMLC 2023: 239-244 - [c29]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 - [i1]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) - 2022
- [j6]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access 10: 73879-73892 (2022) - [j5]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. Remote. Sens. 14(14): 3295 (2022) - [j4]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. 14(18): 4479 (2022) - [c28]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Dual Cost-sensitive Graph Convolutional Network. IJCNN 2022: 1-8 - [c27]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. ECML/PKDD (2) 2022: 20-36 - 2020
- [c26]Ponlakit Suwanworaboon, Steven J. Lynden, Suppawong Tuarob:
Enhancing Visualization Applications Using Open Data Sources. JCSSE 2020: 30-35
2010 – 2019
- 2019
- [c25]Steven J. Lynden, Waran Taveekarn:
Semi-automated Augmentation of Pandas DataFrames. DMBD 2019: 70-79 - [c24]Waran Taveekarn, Chatchanin Yimudom, Supisara Sukkanta, Steven J. Lynden, Wudhichart Sawangphol, Suppawong Tuarob:
DATA++: An Automated Tool for Intelligent Data Augmentation Using Wikidata. JCSSE 2019: 91-96 - 2018
- [c23]Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden:
Network Embedding Based on a Quasi-Local Similarity Measure. PRICAI (1) 2018: 429-440 - 2017
- [c22]Julien Leblay, Weiling Chen, Steven J. Lynden:
Exploring the Veracity of Online Claims with BackDrop. CIKM 2017: 2491-2494 - [c21]Steven J. Lynden:
Analysis of semantic URLs to support automated linking of structured data on the web. WIMS 2017: 13:1-13:6 - 2016
- [c20]Steven J. Lynden, Makoto Yui, Akiyoshi Matono, Akihito Nakamura, Hirotaka Ogawa, Isao Kojima:
Optimising Coverage, Freshness and Diversity in Live Exploration-based Linked Data Queries. WIMS 2016: 18:1-18:12 - 2013
- [c19]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura:
Best-effort Linked Data Query Processing with Time Constraints using ADERIS-Hybrid. ISWC (Posters & Demos) 2013: 29-32 - [c18]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura, Makoto Yui:
A Hybrid Approach to Linked Data Query Processing with Time Constraints. LDOW 2013 - 2011
- [c17]Steven J. Lynden, Yusuke Tanimura, Isao Kojima, Akiyoshi Matono:
Dynamic Data Redistribution for MapReduce Joins. CloudCom 2011: 717-723 - [c16]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
ADERIS: An Adaptive Query Processor for Joining Federated SPARQL Endpoints. OTM Conferences (2) 2011: 808-817 - [p1]Steven J. Lynden, Óscar Corcho, Isao Kojima, Mario Antonioletti, Carlos Buil-Aranda:
Open Standards for Service-Based Database Access and Integration. Grid and Cloud Database Management 2011: 3-21 - 2010
- [c15]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
ADERIS: Adaptively Integrating RDF Data from SPARQL Endpoints. DASFAA (2) 2010: 400-403 - [c14]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
Adaptive Integration of Distributed Semantic Web Data. DNIS 2010: 174-193 - [c13]Kwanchai Eurviriyanukul, Norman W. Paton, Alvaro A. A. Fernandes, Steven J. Lynden:
Adaptive join processing in pipelined plans. EDBT 2010: 183-194 - [c12]Yusuke Tanimura, Akiyoshi Matono, Steven J. Lynden, Isao Kojima:
Extensions to the Pig data processing platform for scalable RDF data processing using Hadoop. ICDE Workshops 2010: 251-256
2000 – 2009
- 2009
- [j3]Steven J. Lynden, Arijit Mukherjee, Alastair C. Hume, Alvaro A. A. Fernandes, Norman W. Paton, Rizos Sakellariou, Paul Watson:
The design and implementation of OGSA-DQP: A service-based distributed query processor. Future Gener. Comput. Syst. 25(3): 224-236 (2009) - 2008
- [c11]Steven J. Lynden, Said Mirza Pahlevi, Isao Kojima:
Service-based data integration using OGSA-DQP and OGSA-WebDB. GRID 2008: 160-167 - 2006
- [j2]Péter András, John Lazarus, Gilbert Roberts, Steven J. Lynden:
Uncertainty and Cooperation: Analytical Results and a Simulated Agent Society. J. Artif. Soc. Soc. Simul. 9(1) (2006) - 2005
- [c10]Omer F. Rana, Asif Akram, Steven J. Lynden:
Building Scalable Virtual Communities - Infrastructure Requirements and Computational Costs. Socionics 2005: 68-83 - 2004
- [b1]Steven J. Lynden:
Coordination of FIPA compliant sotfware agents using utility function assignment. Cardiff University, UK, 2004 - [j1]Omer F. Rana, Steven J. Lynden:
Engineering scalable multi-agent communities. Integr. Comput. Aided Eng. 11(2): 117-134 (2004) - [c9]Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András:
Bacillus Subtilis Protein Interaction Network Analysis. CSB 2004: 623-625 - [c8]Panayiotis Periorellis, Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András:
Dealing with Complex Networks of Process Interactions: A Security Measure. ICECCS 2004: 29-36 - 2003
- [c7]Steven J. Lynden, Omer F. Rana:
LEAF: A Toolkit for Developing Coordinated Learning Based MAS. IPDPS 2003: 135 - [c6]Fernanda Barbosa, José C. Cunha, Omer F. Rana, Steven J. Lynden:
Coordination in utility managed multi-agent groups. CE 2003: 995-1000 - 2002
- [c5]Steven J. Lynden, Omer F. Rana:
LEAF: a FIPA compliant software toolkit for learning based MAS. AAMAS 2002: 1260-1261 - [c4]Steven J. Lynden, Omer F. Rana:
Coordinating Learning Agents via Utility Assignment. IDEAL 2002: 219-224 - [c3]Steven J. Lynden, Omer F. Rana:
Coordinated Learning to Support Resource Management in Computational Grids. Peer-to-Peer Computing 2002: 81-89 - 2000
- [c2]Steven J. Lynden, Omer Farooq Rana, Steve Margetts, Antonia J. Jones:
Emergent coordination for distributed information management. CEC 2000: 946-950 - [c1]Omer F. Rana, David W. Walker, Maozhen Li, Steven J. Lynden, Mike Ward:
PaDDMAS: Parallel and Distributed Data Mining Application Suite. IPDPS 2000: 387-392
Coauthor Index
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