David Lillis
David Lillis
Assistant Professor, School of Computer Science, University College Dublin
Verified email at - Homepage
Cited by
Cited by
Current Challenges and Future Research Areas for Digital Forensic Investigation
D Lillis, B Becker, T O'Sullivan, M Scanlon
The 11th ADFSL Conference on Digital Forensics, Security and Law (CDFSL 2016), 2016
Probfuse: a probabilistic approach to data fusion
D Lillis, F Toolan, R Collier, J Dunnion
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
A comparative study on word embeddings in deep learning for text classification
C Wang, P Nulty, D Lillis
Proceedings of the 4th international conference on natural language …, 2020
MAMS: Multi-Agent MicroServices
RW Collier, E O'Neill, D Lillis, GMP O'Hare
Companion Proceedings of The 2019 World Wide Web Conference, 655-662, 2019
Reflecting on agent programming with AgentSpeak (L)
RW Collier, S Russell, D Lillis
PRIMA 2015: Principles and Practice of Multi-Agent Systems: 18th …, 2015
Evaluating automated facial age estimation techniques for digital forensics
F Anda, D Lillis, NA Le-Khac, M Scanlon
2018 IEEE Security and Privacy Workshops (SPW), 129-139, 2018
Estimating probabilities for effective data fusion
D Lillis, L Zhang, F Toolan, RW Collier, D Leonard, J Dunnion
Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010
Extending probabilistic data fusion using sliding windows
D Lillis, F Toolan, R Collier, J Dunnion
Advances in Information Retrieval: 30th European Conference on IR Research …, 2008
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution
M Scanlon, X Du, D Lillis
Digital Investigation 20, S29-S36, 2017
SoSAA: A framework for integrating components & agents
M Dragone, D Lillis, R Collier, GMP O'Hare
Proceedings of the 2009 ACM symposium on Applied Computing, 722-728, 2009
Expediting MRSH-v2 Approximate Matching with Hierarchical Bloom Filter Trees
D Lillis, F Breitinger, M Scanlon
Digital Forensics and Cyber Crime: 9th International Conference, ICDF2C 2017 …, 2018
CodEX: Source code plagiarism detection based on abstract syntax trees
M Zheng, X Pan, D Lillis
Brennan, R., Beel, J., Byrne, R., Debattista, J., Crotti Junior, A.(eds …, 2018
Probability-based fusion of information retrieval result sets
D Lillis, F Toolan, A Mur, L Peng, R Collier, J Dunnion
Artificial Intelligence Review 25, 179-191, 2006
Transformer-based Multi-task Learning for Disaster Tweet Categorisation
C Wang, P Nulty, D Lillis
18th International Conference on Information Systems for Crisis Response and …, 2021
Classification for crisis-related tweets leveraging word embeddings and data augmentation
C Wang, D Lillis
Proceedings of the Twenty-Eighth Text REtrieval Conference (TREC 2019), 2019
Combining machine learning and logical reasoning to improve requirements traceability recovery
T Li, S Wang, D Lillis, Z Yang
Applied Sciences 10 (20), 7253, 2020
Improving borderline adulthood facial age estimation through ensemble learning
F Anda, D Lillis, A Kanta, BA Becker, E Bou-Harb, NA Le-Khac, M Scanlon
Proceedings of the 14th International Conference on Availability …, 2019
Enhancing legal argument mining with domain pre-training and neural networks
G Zhang, P Nulty, D Lillis
Journal of Data Mining & Digital Humanities, 2022
Space-time diagram generation for profiling multi agent systems
D Doan Van Bien, D Lillis, RW Collier
Programming Multi-Agent Systems: 7th International Workshop, ProMAS 2009 …, 2010
An agent-based approach to component management
D Lillis, R Collier, M Dragone, GMP O'Hare
Proceedings of the 8th International Conference on Autonomous Agents and …, 2009
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