Publications
2025
Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data
Zhou, Y., Davies, R., Wright, J., Ablett, S., & Maskell, S. (n.d.). Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data. Journal of Marine Science and Engineering, 13(3), 457. doi:10.3390/jmse13030457
A Massively Parallel SMC Sampler for Decision Trees
Drousiotis, E., Varsi, A., Phillips, A. M., Maskell, S., & Spirakis, P. G. (n.d.). A Massively Parallel SMC Sampler for Decision Trees. Algorithms, 18(1), 14. doi:10.3390/a18010014
An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization
Drousiotis, E., Varsi, A., Spirakis, P. G., & Maskell, S. (2025). An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization. In Unknown Conference (pp. 123-137). Springer Nature Switzerland. doi:10.1007/978-3-031-75623-8_10
Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler
Habibi, S., Drousiotis, E., Varsi, A., Maskell, S., Moore, R., & Spirakis, P. G. (2025). Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler. In Unknown Conference (pp. 169-184). Springer Nature Switzerland. doi:10.1007/978-3-031-75623-8_13
2024
Fully Bayesian Wideband Direction-of-Arrival Estimation and Detection via RJMCMC
Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation
Murphy, J., Rosato, C., Millard, A., & Maskell, S. (2024). Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation. In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 1-6). IEEE. doi:10.1109/apsipaasc63619.2025.10848671