Phillippa Spencer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Intell. Veh.

ACM Comput. Surv.

Publications

Thomas Hickling, Abdelhafid Zenati, Nabil Aouf, Phillippa Spencer
Explainability in Deep Reinforcement Learning: A Review into Current Methods and Applications. ACM Comput. Surv. 56 (5) (2024)
Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. CoRR (2023)
Thomas Hickling, Nabil Aouf, Phillippa Spencer
Robust Adversarial Attacks Detection Based on Explainable Deep Reinforcement Learning for UAV Guidance and Planning. IEEE Trans. Intell. Veh. 8 (10) (2023)
Thomas Hickling, Nabil Aouf, Phillippa Spencer
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning. CoRR (2022)
Thomas Hickling, Abdelhafid Zenati, Nabil Aouf, Phillippa Spencer
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications. CoRR (2022)
Maxwell Hogan, Nabil Aouf, Phillippa Spencer, Jay Almond
Explainable Object Detection for Uncrewed Aerial Vehicles using KernelSHAP. ICARSC (2022)
Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. CoRR (2021)
Ashleigh C. Myall, Simon Perkins, David Rushton, Jonathan David, Phillippa Spencer, Andrew R. Jones, Philipp Antczak
An OMICs-based meta-analysis to support infection state stratification. Bioinform. 37 (16) (2021)
Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation. CoRR (2020)