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2020 – today
- 2023
[i3]Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke, Amir Dehsarvi
, Christopher R. Madan, Sarah J. Marzi, Cameron Shand, Brian M. Schilder, Stefano Tamburin, Hanz M. Tantiangco, Ilianna Lourida, David J. Llewellyn, Janice M. Ranson:
Artificial Intelligence for Dementia Research Methods Optimization. CoRR abs/2303.01949 (2023)- [i2]Beatrice Taylor, Cameron Shand, Chris J. D. Hardy, Neil Oxtoby:
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia. CoRR abs/2311.13411 (2023) - 2022
- [j3]Neil P. Oxtoby, Cameron Shand, David M. Cash, Daniel C. Alexander, Frederik Barkhof:
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models. Frontiers Artif. Intell. 5: 660581 (2022) - [j2]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Trans. Evol. Comput. 26(6): 1206-1220 (2022) - 2021
- [j1]Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young:
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm. SoftwareX 16: 100811 (2021) - [i1]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR abs/2102.06940 (2021) - 2020
- [b1]Cameron Shand:
Evolutionary algorithms in clustering: challenging problem generation and search space adaptation. University of Manchester, UK, 2020
2010 – 2019
- 2019
- [c2]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
Evolving controllably difficult datasets for clustering. GECCO 2019: 463-471 - 2018
- [c1]Cameron Shand, Richard Allmendinger, Julia Handl, John Keane:
Towards an adaptive encoding for evolutionary data clustering. GECCO 2018: 521-528
Coauthor Index
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