David Lynch

Orcid: 0009-0000-7857-730X

According to our database1, David Lynch authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1994, "For leadership in the development of programmable signal processors and low probability of intercept radar.".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning.
CoRR, 2024

2023
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Sadram: A new Memory Addressing Paradigm.
Proceedings of the International Symposium on Memory Systems, 2023

2021
Offline Contextual Bandits for Wireless Network Optimization.
CoRR, 2021

2020
Using blended learning to support whole-of-school improvement: The need for contextualisation.
Educ. Inf. Technol., 2020

Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Automated Self-Optimization in Heterogeneous Wireless Communications Networks.
IEEE/ACM Trans. Netw., 2019

A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks.
Genet. Program. Evolvable Mach., 2019

Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks.
Evol. Comput., 2019

Influences on purposeful implementation of ICT into the classroom: An exploratory study of K-12 teachers.
Educ. Inf. Technol., 2019

Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction [Invited].
JOCN, 2018

Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction.
CoRR, 2018

A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks.
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Towards automation & augmentation of the design of schedulers for cellular communications networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming.
IEEE Trans. Cybern., 2017

Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks.
Proceedings of the Operations Research Proceedings 2016, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30, 2016

Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming.
Proceedings of the Genetic Programming - 19th European Conference, 2016

2015
Load balancing in heterogeneous networks using an evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015


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