Steven J. Lynden

50 papers A 6B 6C 3Misc 1Journal 9Unranked 23
YearRankTypeTitle / Venue / Authors
2025 — conf
Action Sequence Analysis Using Temporal Commonsense Knowledge.
PAKDD (6)
Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu
2025 — conf
AssistEM: Domain Instruction Tuning for Enhanced Entity Matching.
PAKDD (5)
John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono
2025 — conf
Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features.
DEXA (1)
Ushtar Ali, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa
2025 J jnl
Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural network.
Inf. Process. Manag.
Hai-Tao Yu, Chao Lei, Yan Ge, Yijun Duan, Xin Liu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Adam Jatowt
2025 — conf
How Useful Is Graph Pooling for Node-Level Tasks?
ECML/PKDD (3)
Yijun Duan, Xin Liu, Steven J. Lynden, Akiyoshi Matono, Qiang Ma
2025 J jnl
Implicit knowledge-augmented prompting for commonsense explanation generation.
Knowl. Inf. Syst.
Yan Ge, Hai-Tao Yu, Chao Lei, Xin Liu, Adam Jatowt, Kyoung-Sook Kim, Steven J. Lynden, Akiyoshi Matono
2024 B conf
Inexact Graph Representation Learning.
IJCNN
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono
2024 B conf
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning.
DaWaK
John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono
2024 — conf
Semi-supervised Named Entity Recognition for Low-Resource Languages Using Dual PLMs.
NLDB (1)
Hailemariam Mehari Yohannes, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono
2023 C conf
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning.
IDEAS
John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono
2023 J jnl
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning.
CoRR
John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono
2023 A conf
Commonsense Temporal Action Knowledge (CoTAK) Dataset.
CIKM
Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Haitao Yu, Xin Liu, Yijun Duan
2023 Misc conf
Self-Attention-based Data Augmentation Method for Text Classification.
ICMLC
Mehari Yohannes Hailemariam, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa
2023 A conf
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns.
ECAI
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 — conf
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs.
ECML/PKDD (2)
Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 B conf
Dual Cost-sensitive Graph Convolutional Network.
IJCNN
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 J jnl
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network.
Remote. Sens.
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 J jnl
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies.
IEEE Access
Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022 J jnl
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs.
Remote. Sens.
Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2020 — conf
Enhancing Visualization Applications Using Open Data Sources.
JCSSE
Ponlakit Suwanworaboon, Steven J. Lynden, Suppawong Tuarob
2019 — conf
DATA++: An Automated Tool for Intelligent Data Augmentation Using Wikidata.
JCSSE
Waran Taveekarn, Chatchanin Yimudom, Supisara Sukkanta, Steven J. Lynden, Wudhichart Sawangphol, Suppawong Tuarob
2019 — conf
Semi-automated Augmentation of Pandas DataFrames.
DMBD
Steven J. Lynden, Waran Taveekarn
2018 — conf
Network Embedding Based on a Quasi-Local Similarity Measure.
PRICAI (1)
Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden
2017 — conf
Analysis of semantic URLs to support automated linking of structured data on the web.
WIMS
Steven J. Lynden
2017 A conf
Exploring the Veracity of Online Claims with BackDrop.
CIKM
Julien Leblay, Weiling Chen, Steven J. Lynden
2016 — conf
Optimising Coverage, Freshness and Diversity in Live Exploration-based Linked Data Queries.
WIMS
Steven J. Lynden, Makoto Yui, Akiyoshi Matono, Akihito Nakamura, Hirotaka Ogawa, Isao Kojima
2013 — conf
A Hybrid Approach to Linked Data Query Processing with Time Constraints.
LDOW
Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura, Makoto Yui
2013 — conf
Best-effort Linked Data Query Processing with Time Constraints using ADERIS-Hybrid.
ISWC (Posters & Demos)
Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura
2011 — conf
ADERIS: An Adaptive Query Processor for Joining Federated SPARQL Endpoints.
OTM Conferences (2)
Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura
2011 C conf
Dynamic Data Redistribution for MapReduce Joins.
CloudCom
Steven J. Lynden, Yusuke Tanimura, Isao Kojima, Akiyoshi Matono
2011 — ch.
Open Standards for Service-Based Database Access and Integration.
Grid and Cloud Database Management
Steven J. Lynden, Óscar Corcho, Isao Kojima, Mario Antonioletti, Carlos Buil-Aranda
2010 — conf
ADERIS: Adaptively Integrating RDF Data from SPARQL Endpoints.
DASFAA (2)
Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura
2010 — conf
Adaptive Integration of Distributed Semantic Web Data.
DNIS
Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura
2010 B conf
Adaptive join processing in pipelined plans.
EDBT
Kwanchai Eurviriyanukul, Norman W. Paton, Alvaro A. A. Fernandes, Steven J. Lynden
2010 — conf
Extensions to the Pig data processing platform for scalable RDF data processing using Hadoop.
ICDE Workshops
Yusuke Tanimura, Akiyoshi Matono, Steven J. Lynden, Isao Kojima
2009 J jnl
The design and implementation of OGSA-DQP: A service-based distributed query processor.
Future Gener. Comput. Syst.
Steven J. Lynden, Arijit Mukherjee, Alastair C. Hume, Alvaro A. A. Fernandes, Norman W. Paton, Rizos Sakellariou, Paul Watson
2008 — conf
Service-based data integration using OGSA-DQP and OGSA-WebDB.
GRID
Steven J. Lynden, Said Mirza Pahlevi, Isao Kojima
2006 J jnl
Uncertainty and Cooperation: Analytical Results and a Simulated Agent Society.
J. Artif. Soc. Soc. Simul.
Péter András, John Lazarus, Gilbert Roberts, Steven J. Lynden
2005 — conf
Building Scalable Virtual Communities - Infrastructure Requirements and Computational Costs.
Socionics
Omer F. Rana, Asif Akram, Steven J. Lynden
2004 — conf
Bacillus Subtilis Protein Interaction Network Analysis.
CSB
Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András
2004 — —
Coordination of FIPA compliant sotfware agents using utility function assignment.
Steven J. Lynden
2004 B conf
Dealing with Complex Networks of Process Interactions: A Security Measure.
ICECCS
Panayiotis Periorellis, Olusola C. Idowu, Steven J. Lynden, Malcolm P. Young, Péter András
2004 J jnl
Engineering scalable multi-agent communities.
Integr. Comput. Aided Eng.
Omer F. Rana, Steven J. Lynden
2003 — conf
Coordination in utility managed multi-agent groups.
CE
Fernanda Barbosa, José C. Cunha, Omer F. Rana, Steven J. Lynden
2003 A conf
LEAF: A Toolkit for Developing Coordinated Learning Based MAS.
IPDPS
Steven J. Lynden, Omer F. Rana
2002 — conf
Coordinated Learning to Support Resource Management in Computational Grids.
Peer-to-Peer Computing
Steven J. Lynden, Omer F. Rana
2002 C conf
Coordinating Learning Agents via Utility Assignment.
IDEAL
Steven J. Lynden, Omer F. Rana
2002 A conf
LEAF: a FIPA compliant software toolkit for learning based MAS.
AAMAS
Steven J. Lynden, Omer F. Rana
2000 B conf
Emergent coordination for distributed information management.
CEC
Steven J. Lynden, Omer Farooq Rana, Steve Margetts, Antonia J. Jones
2000 A conf
PaDDMAS: Parallel and Distributed Data Mining Application Suite.
IPDPS
Omer F. Rana, David W. Walker, Maozhen Li, Steven J. Lynden, Mike Ward