David Lillis

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 53

Top Topics

Top Venues

Publications

Zhongyi Lu, Declan T. Delaney, David Lillis
Comparing the Similarity of OpenAPI-Based Microservices. SAC (2024)
Mengya Zheng, David Lillis, Abraham G. Campbell
Current state of the art and future directions: Augmented reality data visualization to support decision-making. Vis. Informatics 8 (1) (2024)
Yogesh Bansal, David Lillis, M. Tahar Kechadi
Correction to: A neural meta-model for predicting winter wheat crop yield. Mach. Learn. 113 (5) (2024)
Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis, Marisa Llorens-Salvador
Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity. CoRR (2024)
Yogesh Bansal, David Lillis, M. Tahar Kechadi
A neural meta model for predicting winter wheat crop yield. Mach. Learn. 113 (6) (2024)
Zhongyi Lu, Declan T. Delaney, David Lillis
A Survey on Microservices Trust Models for Open Systems. IEEE Access 11 (2023)
Yogesh Bansal, David Lillis, Mohand Tahar Kechadi
A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction. CoRR (2023)
Yogesh Bansal, David Lillis, Mohand Tahar Kechadi
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. CoRR (2023)
Gechuan Zhang, Paul Nulty, David Lillis
Argument Mining with Graph Representation Learning. ICAIL (2023)
Gechuan Zhang, Paul Nulty, David Lillis
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks. J. Data Min. Digit. Humanit. 2022 (2022)
Gechuan Zhang, Paul Nulty, David Lillis
A Decade of Legal Argumentation Mining: Datasets and Approaches. NLDB (2022)
Congcong Wang, Paul Nulty, David Lillis
Using Pseudo-Labelled Data for Zero-Shot Text Classification. NLDB (2022)
Yogesh Bansal, David Lillis, M. Tahar Kechadi
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. CSCI (2022)
Tamara Matthews, David Lillis
Experimenting with ensembles of pre-trained language models for classification of custom legal datasets. ICNLSP (2022)
Gechuan Zhang, Paul Nulty, David Lillis
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks. CoRR (2022)
Congcong Wang, David Lillis
UCD-CS at TREC 2021 Incident Streams Track. TREC (2021)
Congcong Wang, Paul Nulty, David Lillis
Crisis Domain Adaptation Using Sequence-to-sequence Transformers. CoRR (2021)
Congcong Wang, David Lillis
UCD-CS at TREC 2021 Incident Streams Track. CoRR (2021)
Congcong Wang, Paul Nulty, David Lillis
Transformer-based Multi-task Learning for Disaster Tweet Categorisation. ISCRAM (2021)
Congcong Wang, Paul Nulty, David Lillis
Crisis Domain Adaptation Using Sequence-to-Sequence Transformers. ISCRAM (2021)
Congcong Wang, David Lillis
Multi-task transfer learning for finding actionable information from crisis-related messages on social media. CoRR (2021)
Congcong Wang, Paul Nulty, David Lillis
Transformer-based Multi-task Learning for Disaster Tweet Categorisation. CoRR (2021)
David Lillis
On the Evaluation of Data Fusion for Information Retrieval. FIRE (2020)
Congcong Wang, Paul Nulty, David Lillis
A Comparative Study on Word Embeddings in Deep Learning for Text Classification. NLPIR (2020)
Congcong Wang, David Lillis
Multi-task Transfer Learning for Finding Actionable Information from Crisis-related Messages on Social Media. TREC (2020)
Eoin O'Neill, David Lillis, Gregory M. P. O'Hare, Rem W. Collier
Delivering Multi-agent MicroServices Using CArtAgO. EMAS@AAMAS (2020)
Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. CoRR (2020)
Congcong Wang, David Lillis
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. CoRR (2020)
Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. Cyber Security (2020)
Paul Nulty, David Lillis
The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances. SemEval@COLING (2020)
Eoin O'Neill, David Lillis, Gregory M. P. O'Hare, Rem W. Collier
Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework. AAMAS (2020)
Congcong Wang, David Lillis
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. W-NUT@EMNLP (2020)
Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon
Improving the accuracy of automated facial age estimation to aid CSEM investigations. Digit. Investig. (2019)
Christopher J. Matheus, Aidan Boran, Dominic Carr, Rem W. Collier, Barnard Kroon, Olga Murdoch, David Lillis, Michael J. O'Grady, Gregory M. P. O'Hare
Semantic network management for next-generation networks. Comput. Intell. 35 (2) (2019)
Rem W. Collier, Eoin O'Neill, David Lillis, Gregory M. P. O'Hare
MAMS: Multi-Agent MicroServices✱. WWW (Companion Volume) (2019)
Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. CoRR (2019)
Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. ARES (2019)
Congcong Wang, David Lillis
Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. TREC (2019)
Felix Anda, David Lillis, Nhien-An Le-Khac, Mark Scanlon
Evaluating Automated Facial Age Estimation Techniques for Digital Forensics. IEEE Symposium on Security and Privacy Workshops (2018)
Mengya Zheng, Xingyu Pan, David Lillis
CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Tree. AICS (2018)
Weinan Huang, Junyi Chen, Lei Meng, David Lillis
Towards an Open Science Platform for the Evaluation of Data Fusion. CoRR (2018)
David Lillis, Frank Breitinger, Mark Scanlon
Hierarchical Bloom Filter Trees for Approximate Matching. J. Digit. Forensics Secur. Law 13 (1) (2018)
David Lillis, Frank Breitinger, Mark Scanlon
Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees. ICDF2C (2017)
David Lillis, Frank Breitinger, Mark Scanlon
Hierarchical Bloom Filter Trees for Approximate Matching. CoRR (2017)
Mark Scanlon, Xiaoyu Du, David Lillis
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution. CoRR (2017)
Mark Scanlon, Xiaoyu Du, David Lillis
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution. Digit. Investig. (2017)
Cheng Li, Zhen Yang, David Lillis
BJUT at TREC 2016 OpenSearch Track: Search Ranking Based on Clickthrough Data. TREC (2016)
David Lillis, Brett A. Becker, Tadhg O'Sullivan, Mark Scanlon
Current Challenges and Future Research Areas for Digital Forensic Investigation. CoRR (2016)
Dinh Doan Van Bien, David Lillis, Rem W. Collier
Space-Time Diagram Generation for Profiling Multi Agent Systems. CoRR (2015)
Rem W. Collier, Sean Edward Russell, David Lillis
Reflecting on Agent Programming with AgentSpeak(L). PRIMA (2015)
Rem W. Collier, Sean Edward Russell, David Lillis
Exploring AOP from an OOP perspective. AGERE!@SPLASH (2015)
David Lillis, Rem W. Collier
Augmenting Agent Platforms to Facilitate Conversation Reasoning. CoRR (2015)
Dinh Doan Van Bien, David Lillis, Rem W. Collier
Call Graph Profiling for Multi Agent Systems. CoRR (2015)
David Lillis, Rem W. Collier, Mauro Dragone, Gregory M. P. O'Hare
An Agent-Based Approach to Component Management. CoRR (2014)
David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
ProbFuse: A Probabilistic Approach to Data Fusion. CoRR (2014)
David Lillis, Rem W. Collier, Howell R. Jordan
Evaluation of a Conversation Management Toolkit for Multi Agent Programming. CoRR (2014)
Lina Xu, David Lillis, Gregory M. P. O'Hare, Rem W. Collier
A User Configurable Metric for Clustering in Wireless Sensor Networks. SENSORNETS (2014)
David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
Extending Probabilistic Data Fusion Using Sliding Windows. CoRR (2014)
Abraham G. Campbell, Dominic Carr, Levent Görgü, David Lillis, Barnard Kroon, Gregory M. P. O'Hare
SIXTH middleware for sensor web enabled AR applications. ISMAR (2013)
Abraham G. Campbell, Levent Görgü, Barnard Kroon, David Lillis, Dominic Carr, Gregory M. P. O'Hare
Giving mobile devices a SIXTH sense: Introducing the SIXTH middleware for Augmented Reality applications. ISMAR (2013)
David Lillis, Sean Edward Russell, Dominic Carr, Rem W. Collier, Gregory M. P. O'Hare
Intelligent Decision-Making in the Physical Environment. AmI (2013)
David Lillis, Rem W. Collier, Howell R. Jordan
Evaluation of a Conversation Management Toolkit for Multi Agent Programming. ProMAS (2012)
Mauro Dragone, Howell R. Jordan, David Lillis, Rem W. Collier
Separation of concerns in hybrid component and agent systems. Int. J. Commun. Networks Distributed Syst. 6 (2) (2011)
David Leonard, David Lillis, Lusheng Zhang, Fergus Toolan, Rem W. Collier, John Dunnion
Applying Machine Learning Diversity Metrics to Data Fusion in Information Retrieval. ECIR (2011)
David Leonard, Doychin Doychev, David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
UCD SIFT in the TREC 2011 Web Track. TREC (2011)
David Leonard, Lusheng Zhang, David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
UCD SIFT in the TREC 2010 Web Track. TREC (2010)
David Lillis, Lusheng Zhang, Fergus Toolan, Rem W. Collier, David Leonard, John Dunnion
Estimating probabilities for effective data fusion. SIGIR (2010)
David Lillis, Rem W. Collier
ACRE: Agent Communication Reasoning Engine. MALLOW (2010)
Howell R. Jordan, Jennifer Treanor, David Lillis, Mauro Dragone, Rem W. Collier, Gregory M. P. O'Hare
AF-ABLE in the multi agent contest 2009. Ann. Math. Artif. Intell. 59 (3-4) (2010)
David Lillis, Rem W. Collier
Augmenting Agent Platforms to Facilitate Conversation Reasoning. LADS (2010)
Dinh Doan Van Bien, David Lillis, Rem W. Collier
Space-Time Diagram Generation for Profiling Multi Agent Systems. PROMAS (2009)
Dinh Doan Van Bien, David Lillis, Rem W. Collier
Call Graph Profiling for Multi Agent Systems. MALLOW (2009)
Dinh Doan Van Bien, David Lillis, Rem W. Collier
Call Graph Profiling for Multi Agent Systems. LADS (2009)
Mauro Dragone, Rem W. Collier, David Lillis, Gregory M. P. O'Hare
Practical Development of Hybrid Intelligent Agent Systems with SoSAA. AICS (2009)
David Lillis, Rem W. Collier, Mauro Dragone, Gregory M. P. O'Hare
An agent-based approach to component management. AAMAS (1) (2009)
Mauro Dragone, David Lillis, Rem W. Collier, Gregory M. P. O'Hare
SoSAA: a framework for integrating components & agents. SAC (2009)
David Lillis, Fergus Toolan, Ling Lin, Rem W. Collier, John Dunnion
UCD SIFT in the TREC 2009 Web Track. TREC (2009)
Mauro Dragone, Gregory M. P. O'Hare, David Lillis, Rem W. Collier
Hybrid Agent & Component-based Management of Backchannels. ICSOFT (2) (2009)
Mauro Dragone, David Lillis, Conor Muldoon, Richard Tynan, Rem W. Collier, Gregory M. P. O'Hare
Dublin Bogtrotters: Agent Herders. ProMAS (2008)
David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
Extending Probabilistic Data Fusion Using Sliding Windows. ECIR (2008)
David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
ProbFuse: a probabilistic approach to data fusion. SIGIR (2006)
David Lillis, Fergus Toolan, Angel Mur, Liu Peng, Rem W. Collier, John Dunnion
Probability-based fusion of information retrieval result sets. Artif. Intell. Rev. 25 (1-2) (2006)
David Lillis, Fergus Toolan, Rem W. Collier, John Dunnion
Probabilistic data fusion on a large document collection. Artif. Intell. Rev. 26 (1-2) (2006)
Liu Peng, Rem W. Collier, Angel Mur, David Lillis, Fergus Toolan, John Dunnion
A Self-configuring Agent-Based Document Indexing System. CEEMAS (2005)