| Identification and characterisation of capidermicin, a novel bacteriocin produced by Staphylococcus capitis D Lynch, PM O’Connor, PD Cotter, C Hill, D Field, M Begley PLoS One 14 (10), e0223541, 2019 | 59 | 2019 |
| Inhibition of Listeria monocytogenes by the Staphylococcus capitis-derived bacteriocin capidermicin D Lynch, C Hill, D Field, M Begley Food Microbiology 94, 103661, 2021 | 23 | 2021 |
| Multi-level grammar genetic programming for scheduling in heterogeneous networks T Saber, D Fagan, D Lynch, S Kucera, H Claussen, M O’Neill European Conference on Genetic Programming, 118-134, 2018 | 23 | 2018 |
| Automated self-optimization in heterogeneous wireless communications networks D Lynch, M Fenton, D Fagan, S Kucera, H Claussen, M O’Neill IEEE/ACM Transactions on Networking 27 (1), 419-432, 2019 | 22 | 2019 |
| Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks D Lynch, T Saber, S Kucera, H Claussen, M O'Neill Proceedings of the Genetic and Evolutionary Computation Conference, 1258-1265, 2019 | 20 | 2019 |
| A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks T Saber, D Fagan, D Lynch, S Kucera, H Claussen, M O’Neill Genetic Programming and Evolvable Machines 20 (2), 245-283, 2019 | 19 | 2019 |
| Multilayer optimization of heterogeneous networks using grammatical genetic programming M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 18 | 2017 |
| Scheduling in heterogeneous networks using grammar-based genetic programming D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill European Conference on Genetic Programming, 83-98, 2016 | 14 | 2016 |
| Hierarchical grammar-guided genetic programming techniques for scheduling in heterogeneous networks T Saber, D Lynch, D Fagan, S Kucera, H Claussen, M O’Neill 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 13 | 2020 |
| Deep learning through evolution: a hybrid approach to scheduling in a dynamic environment D Fagan, M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill 2017 International Joint Conference on Neural Networks (IJCNN), 775-782, 2017 | 13 | 2017 |
| Load balancing in heterogeneous networks using an evolutionary algorithm M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill 2015 IEEE Congress on Evolutionary Computation (CEC), 70-76, 2015 | 13 | 2015 |
| Methods and systems for network self-optimization using deep learning S Kucera, H Claussen, D Lynch, D Fagan, M Fenton, M O'Neill US Patent 11,477,666, 2022 | 10 | 2022 |
| Program synthesis in a continuous space using grammars and variational autoencoders D Lynch, J McDermott, M O’Neill International Conference on Parallel Problem Solving from Nature, 33-47, 2020 | 8 | 2020 |
| Offline contextual bandits for wireless network optimization M Suau, A Agapitos, D Lynch, D Farrell, M Zhou, A Milenovic arXiv preprint arXiv:2111.08587, 2021 | 6 | 2021 |
| Evolving coverage optimisation functions for heterogeneous networks using grammatical genetic programming M Fenton, D Lynch, S Kucera, H Claussen, M O’Neill European Conference on the Applications of Evolutionary Computation, 219-234, 2016 | 6 | 2016 |
| Evolutionary learning of scheduling heuristics for heterogeneous wireless communications networks D Lynch, M Fenton, S Kucera, H Claussen, M O'Neill Proceedings of the Genetic and Evolutionary Computation Conference 2016, 949-956, 2016 | 5 | 2016 |
| Towards automation & augmentation of the design of schedulers for cellular communications networks M Fenton, D Lynch, D Fagan, S Kucera, H Claussen, M O'Neill Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 4 | 2018 |
| An Update of Quarterly National Accounts to 1980 L O'Reilly, D Lynch Research Department, 1983 | 4 | 1983 |
| Continual model-based reinforcement learning for data efficient wireless network optimisation C Hasan, A Agapitos, D Lynch, A Castagna, G Cruciata, H Wang, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 3 | 2023 |
| Localisation in wireless networks using deep bidirectional recurrent neural networks D Lynch, L Ho, M MacDonald, M O’Neill 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
