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 | 250 | 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 | 113 | 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 | 103 | 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 | 49 | 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 | 45 | 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 | 36* | 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 | 35 | 2010 |
EviPlant: An efficient digital forensic challenge creation, manipulation and distribution solution M Scanlon, X Du, D Lillis Digital Investigation 20, S29-S36, 2017 | 28* | 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 | 28* | 2009 |
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 | 28 | 2008 |
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 | 27 | 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 | 24 | 2006 |
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 | 23 | 2018 |
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 | 19* | 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 | 19 | 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 | 17 | 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 | 15 | 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 | 14 | 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 | 13 | 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 | 13* | 2009 |