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 | 21 | 2019 |
Multi-level grammar genetic programming for scheduling in heterogeneous networks T Saber, D Fagan, D Lynch, S Kucera, H Claussen, M O’Neill Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy …, 2018 | 21 | 2018 |
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 | 18 | 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 | 17 | 2017 |
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 | 15 | 2017 |
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, 245-283, 2019 | 14 | 2019 |
Scheduling in heterogeneous networks using grammar-based genetic programming D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 14 | 2016 |
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 | 12 | 2015 |
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 | 8 | 2020 |
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 | 6 | 2022 |
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 |
Program synthesis in a continuous space using grammars and variational autoencoders D Lynch, J McDermott, M O’Neill Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 6 | 2020 |
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 |
Evolving coverage optimisation functions for heterogeneous networks using grammatical genetic programming M Fenton, D Lynch, S Kucera, H Claussen, M O’Neill Applications of Evolutionary Computation: 19th European Conference …, 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 | 3 | 1983 |
Ensemble techniques for scheduling in heterogeneous wireless communications networks D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill Operations Research Proceedings 2016: Selected Papers of the Annual …, 2018 | 2 | 2018 |
Determining Irish Merchandise Imports D Lynch Central Bank of Ireland, 1984 | 2 | 1984 |
Modelling Irish Manufactured Exports D Lynch Research Department, 1983 | 2 | 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 | 1 | 2023 |