A Self-configuring Agent-Based Document Indexing System. - Liu Peng; Rem W. Collier; Angel Mur; David Lillis; Fergus Toolan; John Dunnion (CEEMAS, 2005)

ProbFuse: a probabilistic approach to data fusion. - David Lillis; Fergus Toolan; Rem W. Collier; John Dunnion (SIGIR, 2006)

Probabilistic data fusion on a large document collection. - David Lillis; Fergus Toolan; Rem W. Collier; John Dunnion (Artif. Intell. Rev., 2006)

Probability-based fusion of information retrieval result sets. - David Lillis; Fergus Toolan; Angel Mur; Liu Peng; Rem W. Collier; John Dunnion (Artif. Intell. Rev., 2006)

Extending Probabilistic Data Fusion Using Sliding Windows. - David Lillis; Fergus Toolan; Rem W. Collier; John Dunnion (ECIR, 2008)

Dublin Bogtrotters: Agent Herders. - Mauro Dragone; David Lillis; Conor Muldoon; Richard Tynan; Rem W. Collier; Gregory M. P. O'Hare (ProMAS, 2008)

Practical Development of Hybrid Intelligent Agent Systems with SoSAA. - Mauro Dragone; Rem W. Collier; David Lillis; Gregory M. P. O'Hare (AICS, 2009)

An agent-based approach to component management. - David Lillis; Rem W. Collier; Mauro Dragone; Gregory M. P. O'Hare (AAMAS (1), 2009)

Hybrid Agent & Component-based Management of Backchannels. - Mauro Dragone; Gregory M. P. O'Hare; David Lillis; Rem W. Collier (ICSOFT (2), 2009)

Call Graph Profiling for Multi Agent Systems. - Dinh Doan Van Bien; David Lillis; Rem W. Collier (LADS, 2009)

Space-Time Diagram Generation for Profiling Multi Agent Systems. - Dinh Doan Van Bien; David Lillis; Rem W. Collier (PROMAS, 2009)

SoSAA: a framework for integrating components & agents. - Mauro Dragone; David Lillis; Rem W. Collier; Gregory M. P. O'Hare (SAC, 2009)

UCD SIFT in the TREC 2009 Web Track. - David Lillis; Fergus Toolan; Ling Lin; Rem W. Collier; John Dunnion (TREC, 2009)

Augmenting Agent Platforms to Facilitate Conversation Reasoning. - David Lillis; Rem W. Collier (LADS, 2010)

ACRE: Agent Communication Reasoning Engine. - David Lillis; Rem W. Collier (MALLOW, 2010)

Estimating probabilities for effective data fusion. - David Lillis; Lusheng Zhang; Fergus Toolan; Rem W. Collier; David Leonard 001; John Dunnion (SIGIR, 2010)

UCD SIFT in the TREC 2010 Web Track. - David Leonard 001; Lusheng Zhang; David Lillis; Fergus Toolan; Rem W. Collier; John Dunnion (TREC, 2010)

AF-ABLE in the multi agent contest 2009. - Howell R. Jordan; Jennifer Treanor; David Lillis; Mauro Dragone; Rem W. Collier; Gregory M. P. O'Hare (Ann. Math. Artif. Intell., 2010)

Applying Machine Learning Diversity Metrics to Data Fusion in Information Retrieval. - David Leonard 001; David Lillis; Lusheng Zhang; Fergus Toolan; Rem W. Collier; John Dunnion (ECIR, 2011)

UCD SIFT in the TREC 2011 Web Track. - David Leonard 001; Doychin Doychev; David Lillis; Fergus Toolan; Rem W. Collier; John Dunnion (TREC, 2011)

Separation of concerns in hybrid component and agent systems. - Mauro Dragone; Howell R. Jordan; David Lillis; Rem W. Collier (Int. J. Commun. Networks Distributed Syst., 2011)

Evaluation of a Conversation Management Toolkit for Multi Agent Programming. - David Lillis; Rem W. Collier; Howell R. Jordan (ProMAS, 2012)

Intelligent Decision-Making in the Physical Environment. - David Lillis; Sean Edward Russell; Dominic Carr; Rem W. Collier; Gregory M. P. O'Hare (AmI, 2013)

SIXTH middleware for sensor web enabled AR applications. - Abraham G. Campbell; Dominic Carr; Levent Görgü; David Lillis; Barnard Kroon; Gregory M. P. O'Hare (ISMAR, 2013)

Giving mobile devices a SIXTH sense: Introducing the SIXTH middleware for Augmented Reality applications. - Abraham G. Campbell; Levent Görgü; Barnard Kroon; David Lillis; Dominic Carr; Gregory M. P. O'Hare (ISMAR, 2013)

A User Configurable Metric for Clustering in Wireless Sensor Networks. - Lina Xu; David Lillis; Gregory M. P. O'Hare; Rem W. Collier (SENSORNETS, 2014)

Exploring AOP from an OOP perspective. - Rem W. Collier; Sean Edward Russell; David Lillis (AGERE!@SPLASH, 2015)

Reflecting on Agent Programming with AgentSpeak(L). - Rem W. Collier; Sean Edward Russell; David Lillis (PRIMA, 2015)

BJUT at TREC 2016 OpenSearch Track: Search Ranking Based on Clickthrough Data. - Cheng Li; Zhen Yang 004; David Lillis (TREC, 2016)

Current Challenges and Future Research Areas for Digital Forensic Investigation. - David Lillis; Brett A. Becker; Tadhg O'Sullivan; Mark Scanlon (CoRR, 2016)

Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees. - David Lillis; Frank Breitinger; Mark Scanlon (ICDF2C, 2017)

EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution. - Mark Scanlon; Xiaoyu Du 003; David Lillis (Digit. Investig., 2017)

CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Tree. - Mengya Zheng; Xingyu Pan; David Lillis (AICS, 2018)

Evaluating Automated Facial Age Estimation Techniques for Digital Forensics. - Felix Anda; David Lillis; Nhien-An Le-Khac; Mark Scanlon (IEEE Symposium on Security and Privacy Workshops, 2018)

Towards an Open Science Platform for the Evaluation of Data Fusion. - Weinan Huang; Junyi Chen; Lei Meng; David Lillis (CoRR, 2018)

Hierarchical Bloom Filter Trees for Approximate Matching. - David Lillis; Frank Breitinger; Mark Scanlon (J. Digit. Forensics Secur. Law, 2018)

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. - Felix Anda; David Lillis; Aikaterini Kanta; Brett A. Becker; Elias Bou-Harb; Nhien-An Le-Khac; Mark Scanlon (ARES, 2019)

Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation. - Congcong Wang; David Lillis (TREC, 2019)

MAMS: Multi-Agent MicroServices✱. - Rem W. Collier; Eoin O'Neill; David Lillis; Gregory M. P. O'Hare (WWW (Companion Volume), 2019)

Semantic network management for next-generation networks. - 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 (Comput. Intell., 2019)

Improving the accuracy of automated facial age estimation to aid CSEM investigations. - Felix Anda; David Lillis; Aikaterini Kanta; Brett A. Becker; Elias Bou-Harb; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2019)

UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media. - Congcong Wang; David Lillis (W-NUT@EMNLP, 2020)

Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO Framework. - Eoin O'Neill; David Lillis; Gregory M. P. O'Hare; Rem W. Collier (AAMAS, 2020)

Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. - Felix Anda; Brett A. Becker; David Lillis; Nhien-An Le-Khac; Mark Scanlon (Cyber Security, 2020)

Delivering Multi-agent MicroServices Using CArtAgO. - Eoin O'Neill; David Lillis; Gregory M. P. O'Hare; Rem W. Collier (EMAS@AAMAS, 2020)

On the Evaluation of Data Fusion for Information Retrieval. - David Lillis (FIRE, 2020)

A Comparative Study on Word Embeddings in Deep Learning for Text Classification. - Congcong Wang; Paul Nulty; David Lillis (NLPIR, 2020)

The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances. - Paul Nulty; David Lillis (SemEval@COLING, 2020)

Multi-task Transfer Learning for Finding Actionable Information from Crisis-related Messages on Social Media. - Congcong Wang; David Lillis (TREC, 2020)

Crisis Domain Adaptation Using Sequence-to-Sequence Transformers. - Congcong Wang; Paul Nulty; David Lillis (ISCRAM, 2021)

Transformer-based Multi-task Learning for Disaster Tweet Categorisation. - Congcong Wang; Paul Nulty; David Lillis (ISCRAM, 2021)

UCD-CS at TREC 2021 Incident Streams Track. - Congcong Wang; David Lillis (TREC, 2021)

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (CSCI, 2022)

Experimenting with ensembles of pre-trained language models for classification of custom legal datasets. - Tamara Matthews; David Lillis (ICNLSP, 2022)

Using Pseudo-Labelled Data for Zero-Shot Text Classification. - Congcong Wang; Paul Nulty; David Lillis (NLDB, 2022)

A Decade of Legal Argumentation Mining: Datasets and Approaches. - Gechuan Zhang; Paul Nulty; David Lillis (NLDB, 2022)

Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks. - Gechuan Zhang; Paul Nulty; David Lillis (J. Data Min. Digit. Humanit., 2022)

Argument Mining with Graph Representation Learning. - Gechuan Zhang; Paul Nulty; David Lillis (ICAIL, 2023)

A Survey on Microservices Trust Models for Open Systems. - Zhongyi Lu; Declan T. Delaney; David Lillis (IEEE Access, 2023)

A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction. - Yogesh Bansal; David Lillis; Mohand Tahar Kechadi (CoRR, 2023)

Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains. - Zhongyi Lu; Declan T. Delaney; Tong Li; David Lillis (ICSOFT, 2024)

Comparing the Similarity of OpenAPI-Based Microservices. - Zhongyi Lu; Declan T. Delaney; David Lillis (SAC, 2024)

Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity. - Shushanta Pudasaini; Luis Miralles-Pechuán; David Lillis; Marisa Llorens-Salvador (CoRR, 2024)

Current state of the art and future directions: Augmented reality data visualization to support decision-making. - Mengya Zheng; David Lillis; Abraham G. Campbell (Vis. Informatics, 2024)

Correction to: A neural meta-model for predicting winter wheat crop yield. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (Mach. Learn., 2024)

A neural meta model for predicting winter wheat crop yield. - Yogesh Bansal; David Lillis; M. Tahar Kechadi (Mach. Learn., 2024)

Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs. - Shushanta Pudasaini; Luis Miralles 001; David Lillis; Marisa Llorens-Salvador (COLING Workshops, 2025)

Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis. - Abhishek Kaushik 002; Sargam Yadav; Andrew Browne; David Lillis; David Williams; Jack Mc Donnell; Peadar Grant; Siobhan Connolly Kernan; Shubham Sharma 004; Mansi Arora (CoRR, 2025)

From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development - An Opinion Paper. - Sargam Yadav; Asifa Mehmood Qureshi; Abhishek Kaushik 002; Shubham Sharma 004; Róisín Loughran; Subramaniam Kazhuparambil; Andrew Shaw; Mohammed Sabry; Niamh St John Lynch; Nikhil Singh 012; Padraic O'Hara; Pranay Jaiswal; et al. (CoRR, 2025)