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David Lynch
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c20]Robert Trout, David Lynch:
Sadram Arithmetic in C++. MEMSYS 2024: 34-37 - [i4]Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic:
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation. CoRR abs/2404.19462 (2024) - [i3]Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic:
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. CoRR abs/2405.00410 (2024) - 2023
- [c19]Robert Trout
, David Lynch
Sadram: A new Memory Addressing Paradigm. MEMSYS 2023: 15:1-15:5 - [c18]Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic:
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. ECML/PKDD (6) 2023: 295-311 - 2021
- [i2]Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic:
Offline Contextual Bandits for Wireless Network Optimization. CoRR abs/2111.08587 (2021) - 2020
- [j7]Tony Yeigh
Using blended learning to support whole-of-school improvement: The need for contextualisation. Educ. Inf. Technol. 25(4): 3329-3355 (2020) - [c17]Takfarinas Saber
Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. CEC 2020: 1-8 - [c16]David Lynch, Lester T. W. Ho
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. IJCNN 2020: 1-8 - [c15]David Lynch, James McDermott, Michael O'Neill:
Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. PPSN (2) 2020: 33-47
2010 – 2019
- 2019
- [j6]Royce L. Willis
Influences on purposeful implementation of ICT into the classroom: An exploratory study of K-12 teachers. Educ. Inf. Technol. 24(1): 63-77 (2019) - [j5]Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen
Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks. Evol. Comput. 27(2): 345-375 (2019) - [j4]Takfarinas Saber
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks. Genet. Program. Evolvable Mach. 20(2): 245-283 (2019) - [j3]David Lynch
Automated Self-Optimization in Heterogeneous Wireless Communications Networks. IEEE/ACM Trans. Netw. 27(1): 419-432 (2019) - [c14]David Lynch, Takfarinas Saber
Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks. GECCO 2019: 1258-1265 - 2018
- [j2]Gagan L. Choudhury, David Lynch, Gaurav Thakur, Simon Tse:
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction [Invited]. JOCN 10(10): D52-D62 (2018) - [c13]David Lynch, David Fagan, Stepán Kucera, Holger Claussen
Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks. CEC 2018: 1-8 - [c12]Takfarinas Saber
Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. EuroGP 2018: 118-134 - [c11]Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen
Towards automation & augmentation of the design of schedulers for cellular communications networks. GECCO (Companion) 2018: 17-18 - [c10]Charles R. Hatt, Craig J. Galbán, Wassim Labaki, Ella A. Kazerooni, David Lynch, Meilan Han:
Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis. RAMBO+BIA+TIA@MICCAI 2018: 302-309 - [c9]Takfarinas Saber
A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks. TPNC 2018: 225-237 - [i1]Gagan L. Choudhury, David Lynch, Gaurav Thakur, Simon Tse:
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction. CoRR abs/1804.07433 (2018) - 2017
- [j1]Michael Fenton
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming. IEEE Trans. Cybern. 47(9): 2938-2950 (2017) - [c8]David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen
Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm. EvoApplications (1) 2017: 205-220 - [c7]Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
Multilayer optimization of heterogeneous networks using grammatical genetic programming. GECCO (Companion) 2017: 3-4 - [c6]David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. IJCNN 2017: 775-782 - 2016
- [c5]David Lynch, Michael Fenton
Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming. EuroGP 2016: 83-98 - [c4]Michael Fenton
Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming. EvoApplications (1) 2016: 219-234 - [c3]David Lynch, Michael Fenton
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks. GECCO 2016: 949-956 - [c2]David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen
Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks. OR 2016: 399-404 - 2015
- [c1]Michael Fenton
Load balancing in heterogeneous networks using an evolutionary algorithm. CEC 2015: 70-76
Coauthor Index
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