
David Clifton
Position:
Co-Director
COCHE Publications by Author:
AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification.
Published:
1 March 2024
Yanting Shen, Lei Lu*, Tingting Zhu, Xinshao Wang*, Lei Clifton, Zhengming Chen, Robert Clarke, and David A. Clifton.
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.
Published:
1 May 2024
Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew Soltan, Hadi Zare, and David A. Clifton.
Dynamic inter-treatment information sharing for individualized treatment effects estimation.
Published:
1 May 2024
Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh, Soheila Molaei, and David A. Clifton.
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation.
Published:
1 November 2024
Shreyank N. Gowda, and David A. Clifton.
A brief review of hypernetworks in deep learning.
Published:
1 August 2024
Vinod Kumar Chauhan*, Jiandong Zhou, Ping Lu, Soheila Molaei & David A. Clifton
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.
Published:
1 May 2023
Lei Lu, Tingting Zhu, Davide Morelli, Andrew Creagh, Zhangdaihong Liu, Jenny Yang, Fenglin Liu, Yuan-Ting Zhang, David A. Clifton
Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections.
Published:
1 November 2023
Jenny Yang, David W. Eyre, Lei Lu, David A. Clifton
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. Machine Learning, 1-20.
Published:
1 February 2023
Jenny Yang, Rasheed El-Bouri, Odhran O’Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu & David A. Clifton
DuKA: A Dual-Keyless-Attention Model for Multi-modality EHR Data Fusion and Organ Failure Prediction.
Published:
1 December 2023
Zhangdaihong Liu*, Xuan Wu, Yang Yang, David A. Clifton
Hospital monitoring.
Published:
1 July 2023
Tingting Zhu, Lei Lu, and David A. Clifton
Expectation-maximization contrastive learning for compact video-and-language representations.
Published:
1 December 2023
Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
Adversarial De-confounding in Individualised Treatment Effects Estimation.
