Ben Mills

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Font Recognition

Top Venues

Mach. Learn. Sci. Technol.

BIOSTEC (Selected Papers)

J. Intell. Manuf.

Publications

Alexander F. Courtier, Matthew Praeger, James A. Grant-Jacob, Christophe Codemard, Paul Harrison, Ben Mills, Michalis N. Zervas
Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning. PHOTOPTICS (2023)
Matthew Praeger, Yunhui Xie, James A. Grant-Jacob, Robert W. Eason, Ben Mills
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. Mach. Learn. Sci. Technol. 2 (3) (2021)
Michael D. T. McDonnell, Daniel Arnaldo, Etienne Pelletier, James A. Grant-Jacob, Matthew Praeger, Dimitris Karnakis, Robert W. Eason, Ben Mills
Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining. J. Intell. Manuf. 32 (5) (2021)
Benita S. Mackay, Matthew Praeger, James A. Grant-Jacob, Janos Kanczler, Robert W. Eason, Richard O. C. Oreffo, Ben Mills
Modeling adult skeletal stem cell response to laser-machined topographies through deep learning. CoRR (2020)
Matthew Praeger, Yunhui Xie, James A. Grant-Jacob, Robert W. Eason, Ben Mills
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. CoRR (2020)
Benita S. Mackay, Sophie Blundell, Olivia Etter, Yunhui Xie, Michael D. T. McDonnell, Matthew Praeger, James A. Grant-Jacob, Robert W. Eason, Rohan M. Lewis, Ben Mills
Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. BIOIMAGING (2020)
Benita S. Mackay, James A. Grant-Jacob, Robert W. Eason, Rohan M. Lewis, Ben Mills
Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta. BIOSTEC (Selected Papers) (2020)