David Lillis :: Publications

2025

Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs.
Shushanta Pudasaini, Luis Miralles, David Lillis and Marisa Llorens Salvador
In COLING 2025 Workshop on Detecting AI Generated Content (DAIGenC), 2025.

2024

A Neural Meta-Model for Predicting Winter Wheat Crop Yield.
Yogesh Bansal, David Lillis and M-Tahar Kechadi
Machine Learning, 2024.
Spatiotemporal Object Detection and Activity Recognition.
Vimal Kumar, Shobhit Jain and David Lillis
In J. A, S. Abimannan, E.-S. M. El-Alfy, and Y.-S. Chang, editors, Spatiotemporal Data Analytics and Modeling: Techniques and Applications, pages 115--132. Springer Nature, Singapore, 2024.
Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains.
Zhongyi Lu, Declan Delaney, Tong Li and David Lillis
In 19th International Conference on Software Technologies (ICSOFT 2024), pages 169--176, Aug. 2024.
Comparing the Similarity of OpenAPI-Based Microservices.
Zhongyi Lu, Declan T. Delaney and David Lillis
In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), Avila, Spaind, 2024.
Survey on AI-Generated Plagiarism Detection: The Impact of Large Language Models on Academic Integrity.
Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis and Marisa Llorens Salvador
Journal of Academic Ethics, Nov. 2024.
Current state of the art and future directions: Augmented reality data visualization to support decision-making.
Mengya Zheng, David Lillis and Abraham G. Campbell
Visual Informatics, 8(2):80--105, June 2024.

2023

A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction.
Yogesh Bansal, David Lillis and M.-Tahar Kechadi
In J. Abawajy, J. Tavares, L. Kharb, D. Chahal, and A. B. Nassif, editors, Information, Communication and Computing Technology, pages 182--194, Cham, 2023. Springer Nature Switzerland.
A Survey on Microservices Trust Models for Open Systems.
Zhongyi Lu, Declan T. Delaney and David Lillis
IEEE Access, 11:28840--28855, 2023.
Argument Mining with Graph Representation Learning.
Gechuan Zhang, Paul Nulty and David Lillis
In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, ICAIL '23, pages 371--380, New York, NY, USA, Sept. 2023. Association for Computing Machinery.

2022

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning.
Yogesh Bansal, David Lillis and Tahar Kechadi
In 2022 International Conference on Computational Science and Computational Intelligence (CSCI'22), pages 206--212, Las Vegas, Nevada, USA, Dec. 2022. IEEE Computer Society.
Experimenting with Ensembles of Pre-Trained Language Models for Classification of Custom Legal Datasets.
Tamara Matthews and David Lillis
In Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022), pages 68--78, Trento, Italy, 2022. Association for Computational Linguistics.
UCD-CS at TREC 2021 Incident Streams Track.
Congcong Wang and David Lillis
In Proceedings of the Thirtieth Text REtreival Conference (TREC 2021), Gaithersburg, MD, USA, 2022.
Using Pseudo-Labelled Data for Zero-Shot Text Classification.
Congcong Wang, Paul Nulty and David Lillis
Natural Language Processing and Information Systems, pages 35--46. Springer International Publishing, Cham, 2022.
A Decade of Legal Argumentation Mining: Datasets and Approaches.
Gechuan Zhang, Paul Nulty and David Lillis
Natural Language Processing and Information Systems, pages 240--252. Springer International Publishing, Cham, 2022.
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks.
Gechuan Zhang, Paul Nulty and David Lillis
Journal of Data Mining and Digital Humanities, NLP4DH, 2022.

2021

Multi-task transfer learning for finding actionable information from crisis-related messages on social media.
Congcong Wang and David Lillis
In Proceedings of the Twenty-Ninth Text REtreival Conference (TREC 2020), Gaithersburg, MD, USA, 2021.
Crisis Domain Adaptation Using Sequence-to-Sequence Transformers.
Congcong Wang, Paul Nulty and David Lillis
In A. Adrot, R. Grace, K. Moore, and C. W. Zobel, editors, ISCRAM 2021 Conference Proceedings -- 18th International Conference on Information Systems for Crisis Response and Management, pages 655--666, Blacksburg, VA (USA), 2021. Virginia Tech.
Transformer-based Multi-task Learning for Disaster Tweet Categorisation.
Congcong Wang, Paul Nulty and David Lillis
In A. Adrot, R. Grace, K. Moore, and C. W. Zobel, editors, ISCRAM 2021 Conference Proceedings -- 18th International Conference on Information Systems for Crisis Response and Management, pages 705--718, Blacksburg, VA (USA), 2021. Virginia Tech.
Can Domain Pre-training Help Interdisciplinary Researchers from Data Annotation Poverty? A Case Study of Legal Argument Mining with BERT-based Transformers.
Gechuan Zhang, David Lillis and Paul Nulty
In Proceedings of the Workshop on Natural Language Processing for Digital Humanities (NLP4DH), pages 121--130. Association for Computational Linguistics, 2021.

2020

Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation.
Felix Anda, Brett Becker, David Lillis, Nhien-An Le-Khac and Mark Scanlon
In 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), pages 1--8, Dublin, Ireland, 2020-06-15/2020-06-19.
Combining Machine Learning and Logical Reasoning to Improve Requirements Traceability Recovery.
Tong Li, Shiheng Wang, David Lillis and Zhen Yang
Applied Sciences, 10(20):7253, Jan. 2020.
On the Evaluation of Data Fusion for Information Retrieval.
David Lillis
In Forum for Information Retrieval Evaluation (FIRE '20), Hyderabad, India, 2020-12-16/2020-12-20.
The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances.
Paul Nulty and David Lillis
In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 119--125, Barcelona (online), Dec. 2020. International Committee for Computational Linguistics.
Delivering Multi-agent MicroServices Using CArtAgO.
Eoin O'Neill, David Lillis, Gregory M. P. O'Hare and Rem W. Collier
In Engineering Multi-Agent Systems (EMAS 2020), volume 12589 of Lecture Notes in Computer Science, pages 1--20. Springer International Publishing, 2020.
Explicit Modelling of Resources for Multi-Agent MicroServices using the CArtAgO framework.
Eoin O'Neill, David Lillis, G. M. P. O'Hare and Rem W. Collier
In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), pages 1957--1959, Auckland, New Zealand, May 2020. International Foundation for Autonomous Agents and Multiagent Systems.
Classification for Crisis-Related Tweets Leveraging Word Embeddings and Data Augmentation.
Congcong Wang and David Lillis
In Proceedings of the Twenty-Eighth Text REtrieval Conference (TREC 2019), Gaithersburg, MD, 2020.
UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media.
Congcong Wang and David Lillis
In Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), pages 514--521, Online, Nov. 2020. Association for Computational Linguistics.
A Comparative Study on Word Embeddings in Deep Learning for Text Classification.
Congcong Wang and David Lillis
In Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2020), Seoul, South Korea, 2020-12-18/2020-12-20.

2019

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning.
Felix Anda, David Lillis, Aikaterini Kanta, Brett Becker, Elias Bou-Harb, Nhien-An Le-Khac and Mark Scanlon
In 14th International Conference on Availability, Reliability and Security (ARES 2019), Canterbury, UK, 2019.
Improving the accuracy of automated facial age estimation to aid CSEM investigations.
Felix Anda, David Lillis, Aikaterini Kanta, Brett Becker, Elias Bou-Harb, Nhien An Le Khac and Mark Scanlon
Digital Investigation, 28:S142, Apr. 2019.
MAMS: Multi Agent MicroServices.
Rem W. Collier, Eoin O'Neill, David Lillis and Gregory M. P. O'Hare
In Companion Proceedings of the 2019 World Wide Web Conference (WWW '19), pages 655--662, San Francisco, CA, USA, 2019. ACM.

2018

Evaluating Automated Facial Age Estimation Techniques for Digital Forensics.
Felix Anda, David Lillis, Nhien-An Le-Khac and Mark Scanlon
In 12th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE), 2018 IEEE Security & Privacy Workshops, pages 129--139, San Francisco, CA, USA, 2018. IEEE.
Towards an Open Science Platform for the Evaluation of Data Fusion.
Weinan Huang, Junyi Chen, Lei Meng and David Lillis
In 3rd IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA 2018), pages 290--294, Chengdu, China, 2018.
Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees.
David Lillis, Frank Breitinger and Mark Scanlon
In P. Matoušek and M. Schmiedecker, editors, Digital Forensics and Cyber Crime. ICDF2C 2017, volume 216 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 144--157. Springer, Cham, 2018.
Hierarchical Bloom Filter Trees for Approximate Matching.
David Lillis, Frank Breitinger and Mark Scanlon
Journal of Digital Forensics, Security and Law, 13(1), 2018.
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 and Gregory M. P. O'Hare
Computational Intelligence, pages 1--25, 2018.
CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Trees.
Mengya Zheng, Xingyu Pan and David Lillis
In Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018), Dublin, Ireland, 2018.

2017

BJUT at TREC 2016 OpenSearch: Search Ranking Based on Clickthrough Data.
Cheng Li, Zhen Yang and David Lillis
In Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016), Gaithersburg, MD, 2017.
EviPlant: An Efficient Digital Forensic Challenge Creation, Manipulation and Distribution Solution.
Mark Scanlon, Xiaoyu Du and David Lillis
Digital Investigation, 20(Supplement):S29--S36, 2017.

2016

Current Challenges and Future Research Areas for Digital Forensic Investigation.
David Lillis, Brett Becker, Tadhg O'Sullivan and Mark Scanlon
In Proceedings of the 11th Annual ADFSL Conference on Digital Forensics, Security and Law (CDFSL 2016), pages 9--20, Daytona Beach, FL, USA, 2016. ADFSL.
On the Benefits of Information Retrieval and Information Extraction Techniques Applied to Digital Forensics.
David Lillis and Mark Scanlon
In J. J. Park, H. Jin, Y.-S. Jeong, and M. K. Khan, editors, Advanced Multimedia and Ubiquitous Engineering: FutureTech & MUE, pages 641--647. Springer Singapore, Singapore, 2016.

2015

Exploring AOP from an OOP Perspective.
Rem W. Collier, Seán Russell and David Lillis
In Proceedings of the 5th International Workshop on Programming Based on Actors, Agents, and Decentralized Control (AGERE! @ SPLASH 2015), AGERE! 2015, pages 25--36, Pittsburgh, PA, USA, 2015. ACM.
Reflecting on Agent Programming with AgentSpeak(L).
Rem W. Collier, Seán Russell and David Lillis
In Q. Chen, P. Torroni, S. Villata, J. Hsu, and A. Omicini, editors, PRIMA 2015: Principles and Practice of Multi-Agent Systems, 18th International Conference, volume 9387 of Lecture Notes in Computer Science, pages 351--366. Springer International Publishing, Bertinoro, Italy, 2015.
Smart Home Energy Management.
David Lillis, Tadhg O'Sullivan, Thomas Holz, Conor Muldoon, Michael J. O'Grady and Gregory M. P. O'Hare
In K. Curran, editor, Recent Advances in Ambient Intelligent and Context-Aware Computing, pages 155--168. IGI Global, 2015.

2014

Delivering Intelligent Home Energy Management with Autonomous Agents.
Conor Muldoon, Michael J. O'Grady, David Lillis, Tadhg O'Sullivan, Thomas Holz and Gregory M. P. O'Hare
In Proceedings of the 11th European Conference on Wireless Sensor Networks (EWSN2014): Posters and Demos, Oxford, UK, 2014.
A User Configurable Metric for Clustering in Wireless Sensor Networks.
Lina Xu, David Lillis, Rem W. Collier and Gregory M. P. O'Hare
In Proceedings of the 3rd International Conference on Sensor Networks (SENSORNETS 2014), pages 221--226, Lisbon, Portugal, 2014.

2013

SIXTH middleware for sensor web enabled AR applications.
Abraham G. Campbell, Dominic Carr, Levent Görgü, David Lillis, Barnard Kroon and Gregory M. P. O'Hare
In 12th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2013), pages 1--6, Adelaide, Australia, 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 and Gregory M. P. O'Hare
In 12th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2013), pages 245--246, Adelaide, Australia, 2013.
SIXTH: Cupid for the Sensor Web.
Barnard Kroon, Levent Görgü, Sean Russell, Olga Murdoch, David Lillis, Abraham G. Campbell and Gregory M. P. O'Hare
In Proceedings of the Seventh Annual Irish Human Computer Interaction Conference (iHCI 2013), Dundalk, Ireland, 2013.
Evaluation of a Conversation Management Toolkit for Multi Agent Programming.
David Lillis, Rem W. Collier and Howell R. Jordan
In M. Dastani, J. F. Hübner, and B. Logan, editors, Programming Multi-Agent Systems - 10th International Workshop, ProMAS 2012, Valencia, Spain, June 5, 2012, Revised Selected Papers, volume 7837, pages 90--107. Springer Verlag Heidelberg, 2013.
Intelligent Decision-Making in the Physical Environment.
David Lillis, Sean Russell, Dominic Carr, Rem W. Collier and G. M. P. O'Hare
In Proceedings of the Fourth International Joint Conference on Ambient Intelligence (AmI 2013), pages 235--240, Dublin, Ireland, 2013.
Pervasive Sensing: Addressing the Heterogeneity Problem.
Michael J. O'Grady, Olga Murdoch, Barnard Kroon, David Lillis, Dominic Carr, Rem W. Collier and Gregory M. P. O'Hare
Journal of Physics: Conference Series, 450(1):012044, 2013.

2012

UCD SIFT in the TREC 2011 Web Track.
David Leonard, Doychin Doychev, David Lillis, Fergus Toolan, Rem W. Collier and John Dunnion
In Proceedings of the Twentieth Text REtrieval Conference (TREC 2011), Gaithersburg, MD, 2012.
Internalising Interaction Protocols as First-Class Programming Elements in Multi Agent Systems.
David Lillis
PhD thesis, University College Dublin, 2012.
Evaluation of a Conversation Management Toolkit for Multi Agent Programming.
David Lillis, Howell R. Jordan and Rem W. Collier
In Proceedings of the 10th International Workshop on Programming Multi-Agent Systems (ProMAS 2012), Valencia, Spain, 2012.

2011

Applying Machine Learning Diversity Metrics to Data Fusion in Information Retrieval.
David Leonard, David Lillis, Fergus Toolan, Lusheng Zhang, Rem W. Collier and John Dunnion
In P. Clough, C. Foley, C. Gurrin, G. J. F. Jones, W. Kraaij, H. Lee, and V. Mudoch, editors, Advances in Information Retrieval - 33rd European Conference on IR Research ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings., volume 6611 of Lecture Notes in Computer Science, pages 695--698. Springer Berlin Heidelberg, Dublin, Ireland, 2011.
UCD SIFT in the TREC 2010 Web Track.
David Leonard, Lusheng Zhang, David Lillis, Fergus Toolan, Rem W. Collier and John Dunnion
In E. Voorhees and L. Buckland, editors, Proceedings of the Nineteenth Text REtrieval Conference (TREC 2010), Gaithersburg, MD, 2011.
Augmenting Agent Platforms to Facilitate Conversation Reasoning.
David Lillis and Rem W. Collier
In M. Dastani, A. E. F. Seghrouchni, J. F. Hübner, and J. Leite, editors, Languages, Methodologies, and Development Tools for Multi-Agent Systems - Third International Workshop, LADS 2010, Lyon, France, August 30 - September 2010, Revised Selected Papers, volume 6822 of Lecture Notes in Computer Science, pages 56--75. Springer Berlin Heidelberg, 2011.

2010

Call Graph Profiling for Multi Agent Systems.
Dinh Doan Van Bien, David Lillis and Rem W. Collier
In M. Dastani, A. El Fallah Segrouchni, J. Leite, and P. Torroni, editors, Languages, Methodologies, and Development Tools for Multi-Agent Systems - Second International Workshop, LADS 2009, Torino, Italy, September 7-9, 2009, Revised Selected Papers, volume 6039 of Lecture Notes in Computer Science, pages 153--167. Springer Berlin Heidelberg, 6039 edition, Sept. 2010.
Separation of Concerns in Hybrid Component and Agent Systems.
Mauro Dragone, Howell Jordan, David Lillis and Rem W. Collier
International Journal of Communication Networks and Distributed Systems, 6(2):176--201, 2010.
Practical Development of Hybrid Intelligent Agent Systems with SoSAA.
Mauro Dragone, David Lillis, Rem W. Collier and G. M. P. O'Hare
In L. Coyle and J. Freyne, editors, Artificial Intelligence and Cognitive Science. 20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers, pages 51--60. Springer Berlin Heidelberg, Dublin, Ireland, Aug. 2010.
AF-ABLE in the Multi Agent Contest 2009.
Howell Jordan, Jennifer Treanor, David Lillis, Mauro Dragone, Rem W. Collier and G. M. P. O'Hare
Annals of Mathematics and Artificial Intelligence, 59(3-4):389--409, 2010.
ACRE: Agent Conversation Reasoning Engine.
David Lillis and Rem W. Collier
In 3rd International Workshop on LAnguages, Methodologies and Development Tools for Multi Agent SystemS (LADS'010), Lyon, 2010.
UCD SIFT in the TREC 2009 Web Track.
David Lillis, Fergus Toolan, Ling Lin, Rem W. Collier and John Dunnion
In E. M. Voorhees and L. P. Buckland, editors, Proceedings of the Eighteenth Text REtrieval Conference (TREC 2009), Gaithersburg, MD, 2010. NIST.
Estimating Probabilities for Effective Data Fusion.
David Lillis, Lusheng Zhang, Fergus Toolan, Rem W. Collier, David Leonard and John Dunnion
In Proceedings of the 33rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pages 347--354, Geneva, Switzerland, 2010. ACM.

2009

Call Graph Profiling for Multi Agent Systems.
Dinh Doan Van Bien, David Lillis and Rem W. Collier
In Proceedings of the Second Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW 2009), Turin, 2009.
Space-Time Diagram Generation for Profiling Multi Agent Systems.
Dinh Doan Van Bien, David Lillis and Rem W. Collier
In L. Braubach, J.-P. Briot, and J. Thangarajah, editors, Programming Multi-Agent Systems, volume 5919 of Lecture Notes in Computer Science, pages 170--184. Springer Berlin Heidelberg, Budapest, Hungary, May 2009.
SoSAA: A Framework for Integrating Components and Agents.
Mauro Dragone, David Lillis, Rem W. Collier and G. M. P. O'Hare
In Proceedings of the 2009 ACM Symposium on Applied Computing, pages 722--728, Honolulu, Hawaii, USA, Mar. 2009. ACM.
Hybrid Agent & Component-Based Management of Backchannels.
Mauro Dragone, G. M. P. O'Hare, David Lillis and Rem W. Collier
In Proceedings of the 4th International Conference on Software and Data Technologies (ICSOFT 2009), Sofia, Bulgaria, July 2009.
AF-ABLE: System Description.
Howell R. Jordan, Jennifer Treanor, David Lillis, Mauro Dragone, Rem W. Collier and G M P. O'Hare
In Proceedings of the 10th International Workshop on Computational Logic in Multi-Agent Systems (CLIMA-X), pages 208--212. Clausthal University of Technology, 2009.
An Agent-Based Approach to Component Management.
David Lillis, Rem W. Collier, Mauro Dragone and G M P. O'Hare
In Proceedings of the 8th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS '09), pages 529--536, Budapest, Hungary, May 2009. International Foundation for Autonomous Agents and Multiagent Systems.
Challenging the Norm in the Teaching of Practical Computer Science.
David Lillis, Martina Naughton, Alex Cronin, M-Tahar Kechadi, Rem W. Collier and Joe Carthy
In Proceedings of the Second Irish Conference on Engaging Pedagogy (ICEP 2009), Dublin, Ireland, Aug. 2009.

2008

Dublin Bogtrotters: Agent Herders.
Mauro Dragone, David Lillis, Conor Muldoon, Richard Tynan, Rem W. Collier and Gregory M. P. O'Hare
In K. V. Hindriks, A. Pokahr, and S. Sardina, editors, Programming Multi-Agent Systems. 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13 2008, Revised Invited and Selected Papers, volume 5442 of Lecture Notes in Computer Science, pages 243--247. Springer Berlin Heidelberg, 2008.
Extending Probabilistic Data Fusion Using Sliding Windows.
David Lillis, Fergus Toolan, Rem Collier and John Dunnion
In C. Macdonald, I. Ounis, V. Plachouras, I. Ruthven, and R. W. White, editors, Advances in Information Retrieval. Proceedings of the 30th European Conference on Information Retrieval Research (ECIR 2008), volume 4956 of Lecture Notes in Computer Science, pages 358--369. Springer Berlin Heidelberg, Berlin, 2008.

2007

Evaluating Communication Strategies in a Multi Agent Information Retrieval System.
David Lillis, Rem Collier, Fergus Toolan and John Dunnion
In Proceedings of the 18th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2007), pages 81--90, Dublin, Ireland, 2007.
Evaluating Communication Strategies in a Multi Agent Information Retrieval System.
David Lillis, Rem W. Collier, Fergus Toolan and John Dunnion
In Proceedings of the 5th European Workshop on Multi-Agent Systems (EUMAS '07), Hammamet, Tunisia, Dec. 2007.

2006

ProbFuse: Probabilistic Data Fusion.
David Lillis
MSc, University College Dublin, Feb. 2006.
Probabilistic Data Fusion on a Large Document Collection.
David Lillis, Fergus Toolan, Rem Collier and John Dunnion
In Proceedings of the 17th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2006), Belfast, Northern Ireland, 2006.
Probabilistic Data Fusion on a Large Document Collection.
David Lillis, Fergus Toolan, Rem Collier and John Dunnion
Artificial Intelligence Review, 26(1-2):23--34, 2006.
ProbFuse: A Probabilistic Approach to Data Fusion.
David Lillis, Fergus Toolan, Rem Collier and John Dunnion
In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '06), pages 139--146, Seattle, WA, USA, 2006. ACM.
Probability-Based Fusion of Information Retrieval Result Sets.
David Lillis, Fergus Toolan, Angel Mur, Liu Peng, Rem Collier and John Dunnion
Artificial Intelligence Review, 25(1-2):179--191, Nov. 2006.

2005

Probability-Based Fusion of Information Retrieval Result Sets.
David Lillis, Fergus Toolan, Angel Mur, Liu Peng, Rem Collier and John Dunnion
In Proceedings of the 16th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2005), pages 147--156, Portstewart, Northern Ireland, 2005. University of Ulster.
A HOTAIR Scalability Model.
Angel Mur, Liu Peng, Rem Collier, David Lillis, Fergus Toolan and John Dunnion
In Proceedings of the 16th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2005), pages 359--368, Portstewart, Northern Ireland, 2005. University of Ulster.
A Self-Configuring Agent-Based Document Indexing System.
Liu Peng, Rem Collier, Angel Mur, David Lillis, Fergus Toolan and John Dunnion
In M. Pěchouček, P. Petta, and L. Z. Varga, editors, Multi-Agent Systems and Applications IV - 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005, September 15-17 2005. Proceedings., volume 3690 of Lecture Notes in Computer Science, pages 624--627. Springer Berlin Heidelberg, Budapest, Hungary, 2005.