Andrew Hopkinson

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Bayesian Learning

Image Segmentations

Outlier Removal

Top Venues

Pattern Anal. Appl.

Publications

Omar Elnaggar, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti
Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies. Inf. Fusion 95 (2023)
Omar Elnaggar, Roselina Arelhi, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study. CoRR (2023)
Omar Elnaggar, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies. CoRR (2022)
Wahyudin P. Syam, Panorios Benardos, Emily Britchford, Andrew Hopkinson, David T. Branson
Correction to: Outlier removal in biomaterial image segmentations using a non-stationary Bayesian learning. Pattern Anal. Appl. 24 (4) (2021)
Wahyudin P. Syam, Panorios Benardos, Emily Britchford, Andrew Hopkinson, David T. Branson
Outlier removal in biomaterial image segmentations using a non-stationary Bayesian learning. Pattern Anal. Appl. 24 (4) (2021)
Wahyudin P. Syam, Ridhi Bansal, Panorios Benardos, Emily Britchford, Andrew Hopkinson, K. T. Voisey, David T. Branson
Image processing algorithm to determine an optimised 2D laser cutting trajectory. ICAC (2019)
Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal
Demand-Weighted Completeness Prediction for a Knowledge Base. CoRR (2018)
Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal
Demand-Weighted Completeness Prediction for a Knowledge Base. NAACL-HLT (3) (2018)