Load balancing in heterogeneous networks using an evolutionary algorithm. - Michael Fenton; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (CEC, 2015)

Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming. - David Lynch; Michael Fenton; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (EuroGP, 2016)

Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming. - Michael Fenton; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (EvoApplications (1), 2016)

Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks. - David Lynch; Michael Fenton; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (GECCO, 2016)

Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks. - David Lynch; Michael Fenton; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (OR, 2016)

Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm. - David Lynch; Michael Fenton; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (EvoApplications (1), 2017)

Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. - David Fagan; Michael Fenton; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (IJCNN, 2017)

Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming. - Michael Fenton; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (IEEE Trans. Cybern., 2017)

Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks. - David Lynch; David Fagan; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (CEC, 2018)

Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. - Takfarinas Saber; David Fagan; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (EuroGP, 2018)

Towards automation & augmentation of the design of schedulers for cellular communications networks. - Michael Fenton; David Lynch; David Fagan; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (GECCO (Companion), 2018)

Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis. - Charles R. Hatt; Craig J. Galbán; Wassim Labaki; Ella A. Kazerooni; David Lynch; Meilan Han (RAMBO+BIA+TIA@MICCAI, 2018)

A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks. - Takfarinas Saber; David Fagan; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (TPNC, 2018)

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction. - Gagan L. Choudhury; David Lynch; Gaurav Thakur; Simon Tse (CoRR, 2018)

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction [Invited]. - Gagan L. Choudhury; David Lynch; Gaurav Thakur; Simon Tse (JOCN, 2018)

Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks. - David Lynch; Takfarinas Saber; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (GECCO, 2019)

Influences on purposeful implementation of ICT into the classroom: An exploratory study of K-12 teachers. - Royce L. Willis; David Lynch; Paul Fradale; Tony Yeigh (Educ. Inf. Technol., 2019)

Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks. - Michael Fenton; David Lynch; David Fagan; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (Evol. Comput., 2019)

A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks. - Takfarinas Saber; David Fagan; David Lynch; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (Genet. Program. Evolvable Mach., 2019)

Automated Self-Optimization in Heterogeneous Wireless Communications Networks. - David Lynch; Michael Fenton; David Fagan; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (IEEE/ACM Trans. Netw., 2019)

Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. - Takfarinas Saber; David Lynch; David Fagan; Stepán Kucera; Holger Claussen 001; Michael O'Neill 001 (CEC, 2020)

Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. - David Lynch; Lester T. W. Ho; Michael MacDonald; Michael O'Neill 001 (IJCNN, 2020)

Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. - David Lynch; James McDermott; Michael O'Neill 001 (PPSN (2), 2020)

Using blended learning to support whole-of-school improvement: The need for contextualisation. - Tony Yeigh; David Lynch; David Turner; Paul Fradale; Royce L. Willis; Ken Sell; Ed Lawless (Educ. Inf. Technol., 2020)

Offline Contextual Bandits for Wireless Network Optimization. - Miguel Suau; Alexandros Agapitos; David Lynch; Derek Farrell; Mingqi Zhou; Aleksandar Milenovic (CoRR, 2021)

Sadram: A new Memory Addressing Paradigm. - Robert Trout; David Lynch (MEMSYS, 2023)

Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. - Cengis Hasan; Alexandros Agapitos; David Lynch; Alberto Castagna; Giorgio Cruciata; Hao Wang; Aleksandar Milenovic (ECML/PKDD (6), 2023)

Sadram Arithmetic in C++. - Robert Trout; David Lynch (MEMSYS, 2024)

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. - Yucheng Shi; Alexandros Agapitos; David Lynch; Giorgio Cruciata; Cengis Hasan; Hao Wang; Yayu Yao; Aleksandar Milenovic (CoRR, 2024)

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation. - Muzhaffar Hazman; Minh-Khoi Pham; Shweta Soundararajan; Goncalo Mordido; Leonardo Custode; David Lynch; Giorgio Cruciata; Yucheng Shi; Hongmeng Song; Wang Chao; Pan Yue; Aleksandar Milenovic; et al. (CoRR, 2025)