Roderick Murray-Smith

Roderick Murray-Smith, F. Deligianni, Qianying Liu, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data Models for Dataset Drift Controls in Machine Learning With Images

Roderick Murray-Smith, W. Samek, E. Pomarico, 2022, ArXiv.

Subgraph Permutation Equivariant Networks

Roderick Murray-Smith, Joshua Mitton, 2021, 2111.11840.

Switching and Learning in Feedback Systems

Roderick Murray-Smith, Robert Shorten, Roderick Murray-Smith, 2008 .

Prediction of weaning from mechanical ventilation using Convolutional Neural Networks

Ibrahim Habli, Roderick Murray-Smith, Tom Lawton, 2021, Artif. Intell. Medicine.

Adversarial learning of cancer tissue representations

Wisuwat Sunhem, Aristotelis Tsirigos, Roderick Murray-Smith, 2021, MICCAI.

Data Models for Dataset Drift Controls in Machine Learning With Images

Roderick Murray-Smith, W. Samek, E. Pomarico, 2022, ArXiv.

Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres

Roderick Murray-Smith, D. Faccio, M. Padgett, 2022, ArXiv.

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

Roderick Murray-Smith, C. Messenger, H. Gabbard, 2021, Nature Physics.

The Fully Convolutional Transformer for Medical Image Segmentation

Roderick Murray-Smith, D. Husmeier, Chaitanya Kaul, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

CpT: Convolutional Point Transformer for 3D Point Cloud Processing pdf

Roderick Murray-Smith, Hang Dai, Chaitanya Kaul, 2021, ArXiv.

Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation

Suresh Manandhar, Nick Pears, Roderick Murray-Smith, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Rotation Equivariant Deforestation Segmentation and Driver Classification pdf

Roderick Murray-Smith, Joshua Mitton, Roderick Murray-Smith, 2021, ArXiv.

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Roderick Murray-Smith, W. Samek, F. Klauschen, 2023, ArXiv.

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Roderick Murray-Smith, W. Samek, E. Pomarico, 2022, Trans. Mach. Learn. Res..

Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance

Roderick Murray-Smith, S. Stein, Jinhyun Hong, 2022, Sensors.

Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image

Roderick Murray-Smith, Chaitanya Kaul, Joshua Mitton, 2021, ArXiv.

Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data pdf

Roderick Murray-Smith, Andreas C. Damianou, Pablo G. Moreno, 2020, ICLR.

Local Permutation Equivariance For Graph Neural Networks pdf

Roderick Murray-Smith, Joshua Mitton, Roderick Murray-Smith, 2021, ArXiv.

Position stabilisation and lag reduction with Gaussian processes in sensor fusion system for user performance improvement

Roderick Murray-Smith, A. Ramsay, Shimin Feng, 2016, International Journal of Machine Learning and Cybernetics.

Transformations of Gaussian Process Priors

Barak A. Pearlmutter, Roderick Murray-Smith, Roderick Murray-Smith, 2004, Deterministic and Statistical Methods in Machine Learning.

A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs pdf

Hans M. Senn, Roderick Murray-Smith, Joshua Mitton, 2021, ArXiv.

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

E-J Hoogerwerf, R Leeb, S Perdikis, 2014, Journal of neural engineering.

Improving Sequential Query Recommendation with Immediate User Feedback

Roderick Murray-Smith, S. P. Parambath, C. Anagnostopoulos, 2022, ArXiv.

Neural networks for modelling and control of a non-linear dynamic system

R. Murray-Smith, D. Neumerkel, D. Sbarbaro-Hofer, 1992, Proceedings of the 1992 IEEE International Symposium on Intelligent Control.