David A. Clifton

263 papers A* 16A 6B 2C 8Misc 1Journal 182Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval. CoRR Joaquín Polonuer, Lucas Vittor, Iñaki Arango, Ayush Noori, David A. Clifton, Luciano Del Corro, Marinka Zitnik
2026	J	`jnl`	Democratising Clinical AI through Dataset Condensation for Classical Clinical Models. CoRR Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
2026	J	`jnl`	Entropy Alone is Insufficient for Safe Selective Prediction in LLMs. CoRR Edward Phillips, Fredrik K. Gustafsson, Sean Wu, Anshul Thakur, David A. Clifton
2026	J	`jnl`	Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity. IEEE J. Biomed. Health Informatics Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026	A*	`conf`	Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. AAAI Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2026	J	`jnl`	Semantic Self-Distillation for Language Model Uncertainty. CoRR Edward Phillips, Sean Wu, Boyan Gao, David A. Clifton
2026	J	`jnl`	SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG. CoRR Fredrik K. Gustafsson, Xiao Gu, Mattia Carletti, Patitapaban Palo, David W. Eyre, David A. Clifton
2025	J	`jnl`	A global log for medical AI. CoRR Ayush Noori, Adam Rodman, Alan Karthikesalingam, Bilal A. Mateen, Christopher A. Longhurst, Daniel Yang, Dave deBronkart, Gauden Galea, Harold F. Wolf III, Jacob Waxman, Joshua C. Mandel, Juliana Rotich, Kenneth D. Mandl, Maryam Mustafa, Melissa Miles, Nigam H. Shah, Peter Lee, Robert Korom, Scott Mahoney, Seth Hain, Tien Yin Wong, Trevor Mundel, Vivek Natarajan, Noa Dagan, David A. Clifton, Ran D. Balicer, Isaac S. Kohane, Marinka Zitnik
2025	J	`jnl`	A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digit. Medicine Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025	J	`jnl`	A scoping review of large language models for generative tasks in mental health care. npj Digit. Medicine Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous
2025	J	`jnl`	AI-Assisted in Silico Trial for the Optimization of Osmotherapy After Ischaemic Stroke. IEEE J. Biomed. Health Informatics Xi Chen, Lei Lu, Tamás I. Józsa, Jiandong Zhou, David A. Clifton, Stephen J. Payne
2025	J	`jnl`	Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. IEEE Trans. Pattern Anal. Mach. Intell. Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
2025	J	`jnl`	Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation. CoRR Bradley Segal, Joshua Fieggen, David A. Clifton, Lei A. Clifton
2025	—	`conf`	Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers. UbiComp Companion Aidan Acquah, Valentin Hamy, David A. Clifton, Aiden R. Doherty
2025	J	`jnl`	Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization. CoRR Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei A. Clifton, Fenglin Liu, David A. Clifton
2025	J	`jnl`	Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification. J. Am. Medical Informatics Assoc. Chang Liu, Zhangdaihong Liu, Jingjing Liu, Chenglai Cai, David A. Clifton, Hui Wang, Yang Yang
2025	J	`jnl`	Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. CoRR Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang
2025	J	`jnl`	DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research. Data Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou
2025	J	`jnl`	Deep Learning in Concealed Dense Prediction. CoRR Pancheng Zhao, Deng-Ping Fan, Shupeng Cheng, Salman H. Khan, Fahad Shahbaz Khan, David A. Clifton, Peng Xu, Jufeng Yang
2025	J	`jnl`	Denoising Reuse: Exploiting Inter-Frame Motion Consistency for Efficient Video Generation. IEEE Trans. Circuits Syst. Video Technol. Chenyu Wang, Shuo Yan, Yixuan Chen, Xianwei Wang, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Rui Zhu, David A. Clifton, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
2025	—	`conf`	DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. EMNLP (Findings) Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton
2025	J	`jnl`	Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model. IEEE J. Biomed. Health Informatics Ting Xiang, Yanwei Jin, Zijun Liu, Lei A. Clifton, David A. Clifton, Yiming Zhang, Quan Zhang, Nan Ji, Yuanting Zhang
2025	J	`jnl`	Efficient Task Grouping Through Sample-Wise Optimisation Landscape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2025	J	`jnl`	Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton
2025	A*	`conf`	Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization. CVPR Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem
2025	J	`jnl`	Exploring the latent space of diffusion models directly through singular value decomposition. CoRR Li Wang, Boyan Gao, Yanran Li, Zhao Wang, Xiaosong Yang, David A. Clifton, Jun Xiao
2025	A*	`conf`	F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. CVPR Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2025	J	`jnl`	Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs. CoRR Edward Phillips, Sean Wu, Soheila Molaei, Danielle Belgrave, Anshul Thakur, David A. Clifton
2025	J	`jnl`	Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems. CoRR Ayush Noori, Joaquín Polonuer, Katharina Meyer, Bogdan Budnik, Shad Morton, Xinyuan Wang, Sumaiya Nazeen, Yingnan He, Iñaki Arango, Lucas Vittor, Matthew Woodworth, Richard C. Krolewski, Michelle M. Li, Ninning Liu, Tushar Kamath, Evan Macosko, Dylan Ritter, Jalwa Afroz, Alexander B. H. Henderson, Lorenz Studer, Samuel G. Rodriques, Andrew White, Noa Dagan, David A. Clifton, George M. Church, Sudeshna Das, Jenny M. Tam, Vikram Khurana, Marinka Zitnik
2025	J	`jnl`	Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xu, Song Bai, Bowen Zhou, David A. Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool
2025	J	`jnl`	Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates. CoRR Pafue Christy Nganjimi, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton, Anshul Thakur
2025	J	`jnl`	Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Gaurav Nigam, David A. Clifton
2025	A	`conf`	Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. AISTATS Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	J	`jnl`	LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models. CoRR Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David A. Clifton, Luc Van Gool
2025	—	`conf`	MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. ICCVW Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yangbcd, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, Joonkyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Lid, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen, Yicen Tian, Yilin Tao, Yin Tang, Yipeng Lin, Yiqing Wang, Yiting Xi, Yongkang Yu, Yumei Li, Yuxin Qin, Yuying Chen, Yuzhe Cen, Zhaofan Zou, Zhaohong Liu, Zhehao Shen, Zhenglin Du, Zhengyang Li, Zhenni Huang, Zhenwei Shao, Zhilong Song, Zhiyong Feng, Zhiyu Wang, Zhou Yu, Ziang Li, Zihan Zhai, Zijian Zhang, Ziyang Peng, Ziyun Xiao, Zongshu Li
2025	J	`jnl`	MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. CoRR Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yang, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, Joonkyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Li, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen
2025	A*	`conf`	MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation. WWW Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton
2025	J	`jnl`	MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation. CoRR Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton
2025	Misc	`conf`	Microtitre Plate Image Augmentation with Generative Adversarial Networks. ICASSP Ru Li, Tingting Chai, Samaneh Kouchaki, David A. Clifton, Yang Yang
2025	A	`conf`	Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. AISTATS Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	J	`jnl`	Optimization-Inspired Few-Shot Adaptation for Large Language Models. CoRR Boyan Gao, Xin Wang, Yibo Yang, David A. Clifton
2025	A*	`conf`	Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference. ICML Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang
2025	J	`jnl`	RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model. IEEE Trans. Pattern Anal. Mach. Intell. Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song
2025	J	`jnl`	RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. CoRR Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2025	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. ACM Trans. Comput. Heal. Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2025	J	`jnl`	Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. CoRR Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton
2025	A*	`conf`	SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. ICLR Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang
2024	—	`conf`	A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases. BCB Zhangdaihong Liu, Xuan Wu, Yang Yang, David A. Clifton
2024	J	`jnl`	A brief review of hypernetworks in deep learning. Artif. Intell. Rev. Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2024	J	`jnl`	Addressing label noise for electronic health records: insights from computer vision for tabular data. BMC Medical Informatics Decis. Mak. Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton
2024	J	`jnl`	An improved deep regression model with state space reconstruction for continuous blood pressure estimation. Comput. Electr. Eng. Liangyi Lyu, Lei Lu, Hanjie Chen, David A. Clifton, Yuanting Zhang, Tapabrata Chakraborti
2024	J	`jnl`	Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks. CoRR Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous
2024	—	`conf`	Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare? ML4H@NeurIPS Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter J. Watkinson, Lei A. Clifton, Tingting Zhu, David A. Clifton
2024	J	`jnl`	AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Trans. Pattern Anal. Mach. Intell. Yanting Shen, Lei Lu, Tingting Zhu, Xinshao Wang, Lei A. Clifton, Zhengming Chen, Robert Clarke, David A. Clifton
2024	—	`conf`	CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. ECCV (45) Shreyank N. Gowda, David A. Clifton
2024	J	`jnl`	CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation. CoRR Shreyank N. Gowda, David A. Clifton
2024	J	`jnl`	CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2024	J	`jnl`	Cognition Chain for Explainable Psychological Stress Detection on Social Media. CoRR Xin Wang, Boyan Gao, Yi Dai, Lei Cao, Liang Zhao, Yibo Yang, David A. Clifton
2024	J	`jnl`	Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. CoRR Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong
2024	J	`jnl`	Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
2024	J	`jnl`	Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. Mach. Learn. Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton
2024	J	`jnl`	Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton
2024	J	`jnl`	DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction. IEEE Trans. Biomed. Eng. Zhangdaihong Liu, Xuan Wu, Yang Yang, David A. Clifton
2024	A	`conf`	Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton
2024	J	`jnl`	Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks. CoRR Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado
2024	J	`jnl`	Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. Artif. Intell. Medicine Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado
2024	J	`jnl`	Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis. CoRR Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2024	J	`jnl`	Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization. CoRR Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem
2024	J	`jnl`	Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. CoRR Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton
2024	J	`jnl`	Exploring the effectiveness of instruction tuning in biomedical language processing. Artif. Intell. Medicine Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, David A. Clifton
2024	J	`jnl`	F CoRR Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble
2024	B	`conf`	FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. FG Shreyank N. Gowda, Boyan Gao, David A. Clifton
2024	J	`jnl`	FE-Adapter: Adapting Image-based Emotion Classifiers to Videos. CoRR Shreyank N. Gowda, Boyan Gao, David A. Clifton
2024	A	`conf`	Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton
2024	J	`jnl`	Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton
2024	J	`jnl`	Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. IEEE J. Biomed. Health Informatics Zhangdaihong Liu, Tingting Zhu, Lei Lu, Yuan-Ting Zhang, David A. Clifton
2024	J	`jnl`	Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	A*	`conf`	Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton
2024	J	`jnl`	Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton
2024	J	`jnl`	Lightweight transformers for clinical natural language processing. Nat. Lang. Eng. Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, Laura Merson, David A. Clifton
2024	—	`conf`	Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. MICCAI (11) Shreyank N. Gowda, David A. Clifton
2024	J	`jnl`	Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. CoRR Shreyank N. Gowda, David A. Clifton
2024	J	`jnl`	Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan
2024	J	`jnl`	Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	J	`jnl`	Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine. CoRR Omid Rohanian, Mohammadmahdi Nouriborji, Olena Seminog, Rodrigo Furst, Thomas Mendy, Shanthi Levanita, Zaharat Kadri-Alabi, Nusrat Jabin, Daniela Toale, Georgina S. Humphreys, Emilia Antonio, Adrian Bucher, Alice Norton, David A. Clifton
2024	J	`jnl`	SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation. CoRR Jinge Wu, Yunsoo Kim, Daqian Shi, David A. Clifton, Fenglin Liu, Honghan Wu
2024	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2024	J	`jnl`	Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Medicine Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty
2024	J	`jnl`	Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. IEEE Trans. Pattern Anal. Mach. Intell. Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang
2024	J	`jnl`	SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang
2024	J	`jnl`	Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
2024	J	`jnl`	Voice EHR: Introducing Multimodal Audio Data for Health. CoRR James T. Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Yen Minh Lam, Nguyen Thi Thu Hang, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekwati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, David A. Clifton, Louise Thwaites, Yael Bensoussan, Bradford J. Wood
2024	J	`jnl`	Voice EHR: introducing multimodal audio data for health. Frontiers Digit. Health James T. Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, David A. Clifton, Louise Thwaites, Yael Bensoussan, Bradford J. Wood
2024	J	`jnl`	ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation. IEEE Trans. Pattern Anal. Mach. Intell. Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton
2023	J	`jnl`	2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries. Sensors Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton
2023	J	`jnl`	A Brief Review of Hypernetworks in Deep Learning. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2023	J	`jnl`	A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus. Sensors Huiqi Y. Lu, Ping Lu, Jane E. Hirst, Lucy Mackillop, David A. Clifton
2023	J	`jnl`	A medical multimodal large language model for future pandemics. npj Digit. Medicine Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton
2023	A	`conf`	Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning. Nat. Mac. Intell. Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton
2023	J	`jnl`	All models are local: time to replace external validation with recurrent local validation. CoRR Alexey Youssef, Michael J. Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah
2023	J	`jnl`	An adversarial training framework for mitigating algorithmic biases in clinical machine learning. npj Digit. Medicine Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton
2023	J	`jnl`	Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
2023	—	`conf`	Disfluent Cues for Enhanced Speech Understanding in Large Language Models. EMNLP (Findings) Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer
2023	J	`jnl`	DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
2023	J	`jnl`	Graph representation learning based on deep generative gaussian mixture models. Neurocomputing Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan
2023	J	`jnl`	Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network. IEEE Trans. Biomed. Eng. Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton
2023	J	`jnl`	Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Is dataset condensation a silver bullet for healthcare data sharing? CoRR Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Lightweight Transformers for Clinical Natural Language Processing. CoRR Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton
2023	A	`conf`	MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
2023	J	`jnl`	Multimodal Learning With Transformers: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xu, Xiatian Zhu, David A. Clifton
2023	J	`jnl`	On the effectiveness of compact biomedical transformers. Bioinform. Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
2023	J	`jnl`	PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. Trans. Mach. Learn. Res. Dani Kiyasseh, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention. IEEE Trans. Biomed. Eng. Zhangdaihong Liu, Ying Hu, Xuan Wu, Gert Mertes, Yang Yang, David A. Clifton
2023	J	`jnl`	Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. IEEE J. Biomed. Health Informatics Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
2023	J	`jnl`	RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song
2023	A*	`conf`	Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan
2023	J	`jnl`	Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan
2023	B	`conf`	SMKD: Selective Mutual Knowledge Distillation. IJCNN Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang
2023	J	`jnl`	Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models. IEEE J. Biomed. Health Informatics Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton
2023	J	`jnl`	Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. CoRR Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang
2023	J	`jnl`	Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
2023	—	`conf`	Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective. SKIMA Marzia Hoque Tania, David A. Clifton
2023	—	`conf`	Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. BioNLP@ACL Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Vinod Kumar, Bronner P. Gonçalves, Christiana Kartsonaki, Isaric Clinical Characterisation Group, Laura Merson, David A. Clifton
2023	J	`jnl`	Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation. IEEE Trans. Cybern. Lei Lu, Ying Tan, Denny Oetomo, Iven Mareels, David A. Clifton
2023	J	`jnl`	ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation. CoRR Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton
2022	J	`jnl`	A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography. Sensors Gert Mertes, Yuan Long, Zhangdaihong Liu, Yuhui Li, Yang Yang, David A. Clifton
2022	J	`jnl`	Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2022	J	`jnl`	Assessing the risk of re-identification arising from an attack on anonymised data. CoRR Anna Antoniou, Giacomo Dossena, Julia MacMillan, Steven Hamblin, David A. Clifton, Paula Petrone
2022	—	`conf`	COPER: Continuous Patient State Perceiver. BHI Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022	J	`jnl`	COPER: Continuous Patient State Perceiver. CoRR Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
2022	J	`jnl`	Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. Sensors Ping Lu, Shadi Ghiasi, Jannis Hagenah, Ho Bich Hai, Nguyen Van Hao, Phan Nguyen Quoc Khanh, Le Dinh Van Khoa, VITAL Consortium, Louise Thwaites, David A. Clifton, Tingting Zhu
2022	—	`conf`	Continual learning of longitudinal health records. BHI Jacob Armstrong, David A. Clifton
2022	J	`jnl`	Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton
2022	J	`jnl`	Deep Reinforcement Learning for Multi-class Imbalanced Training. CoRR Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. Clifton
2022	J	`jnl`	Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications. IEEE J. Biomed. Health Informatics Anshul Thakur, Pulkit Sharma, David A. Clifton
2022	A*	`conf`	Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations. NeurIPS Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
2022	J	`jnl`	Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations. CoRR Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
2022	J	`jnl`	How to Understand Masked Autoencoders. CoRR Shuhao Cao, Peng Xu, David A. Clifton
2022	J	`jnl`	Machine Learning-Based Risk Stratification for Gestational Diabetes Management. Sensors Jenny Yang, David A. Clifton, Jane E. Hirst, Foteini K. Kavvoura, George Farah, Lucy Mackillop, Huiqi Y. Lu
2022	J	`jnl`	Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. npj Digit. Medicine Jenny Yang, Andrew A. S. Soltan, David A. Clifton
2022	J	`jnl`	MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	—	`conf`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR Taha Ceritli, Andrew P. Creagh, David A. Clifton
2022	J	`jnl`	Multimodal Learning with Transformers: A Survey. CoRR Peng Xu, Xiatian Zhu, David A. Clifton
2022	—	`conf`	Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. SemEval@NAACL Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton
2022	J	`jnl`	Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. CoRR Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton
2022	J	`jnl`	On the Effectiveness of Compact Biomedical Transformers. CoRR Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
2022	J	`jnl`	Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
2022	J	`jnl`	ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. CoRR Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson
2022	—	`ed.`	Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA Healthcare AI and COVID-19 Workshop Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang
2022	A*	`conf`	Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. NeurIPS Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton
2022	J	`jnl`	Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. CoRR Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton
2022	J	`jnl`	Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty
2022	J	`jnl`	Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. Sensors Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton
2022	A*	`conf`	SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML Dani Kiyasseh, Tingting Zhu, David A. Clifton
2022	—	`conf`	Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion. BHI Lei Lu, Tingting Zhu, Yuan-Ting Zhang, David A. Clifton
2022	J	`jnl`	Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. CoRR Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Bronner P. Gonçalves, Christiana Kartsonaki, Laura Merson, David A. Clifton
2021	J	`jnl`	An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction. Briefings Bioinform. Yang Yang, Timothy M. Walker, Samaneh Kouchaki, Chenyang Wang, Timothy E. A Peto, Derrick W. Crook, David A. Clifton
2021	J	`jnl`	An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson, Jordi Alastruey
2021	A*	`conf`	CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. ICML Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	A*	`conf`	CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. NeurIPS Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	J	`jnl`	Cancelable HD-sEMG-Based Biometrics for Cross-Application Discrepant Personal Identification. IEEE J. Biomed. Health Informatics Xinyu Jiang, Ke Xu, Xiangyu Liu, Chenyun Dai, David A. Clifton, Edward A. Clancy, Metin Akay, Wei Chen
2021	J	`jnl`	Continual learning of longitudinal health records. CoRR Jacob Armstrong, David A. Clifton
2021	J	`jnl`	Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. IEEE J. Biomed. Health Informatics Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2021	J	`jnl`	Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals. IEEE J. Biomed. Health Informatics Ting Xiang, Nan Ji, David A. Clifton, Lei Lu, Yuan-Ting Zhang
2021	J	`jnl`	Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	J	`jnl`	Neuromuscular Password-Based User Authentication. IEEE Trans. Ind. Informatics Xinyu Jiang, Ke Xu, Xiangyu Liu, Chenyun Dai, David A. Clifton, Edward A. Clancy, Metin Akay, Wei Chen
2021	J	`jnl`	Not All Knowledge Is Created Equal. CoRR Ziyun Li, Xinshao Wang, Haojin Yang, Di Hu, Neil Martin Robertson, David A. Clifton, Christoph Meinel
2021	A*	`conf`	ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. CVPR Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson
2021	J	`jnl`	Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic. IEEE J. Biomed. Health Informatics Nan Ji, Ting Xiang, Paolo Bonato, Nigel H. Lovell, Sze-Yuan Ooi, David A. Clifton, Metin Akay, Xiao-Rong Ding, Bryan P. Yan, Vincent C. T. Mok, Dimitrios I. Fotiadis, Yuan-Ting Zhang
2021	J	`jnl`	SDNN24 Estimation from Semi-Continuous HR Measures. Sensors Davide Morelli, Alessio Rossi, Leonardo Bartoloni, Massimo Cairo, David A. Clifton
2021	J	`jnl`	Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. J. Am. Medical Informatics Assoc. Matthew Chun, Robert Clarke, Benjamin J. Cairns, David A. Clifton, Derrick Bennett, Yiping Chen, Yu Guo, Pei Pei, Jun Lv, Canqing Yu, Ling Yang, Liming Li, Zhengming Chen, Tingting Zhu
2021	J	`jnl`	Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. CoRR Rasheed El-Bouri, Tingting Zhu, David A. Clifton
2020	J	`jnl`	A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults. Data Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sîrbu, David A. Clifton, Claudia Martini, Davide Morelli
2020	J	`jnl`	ALPS: Active Learning via Perturbations. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	CLOCS: Contrastive Learning of Cardiac Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	CLOPS: Continual Learning of Physiological Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE J. Biomed. Health Informatics Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton
2020	J	`jnl`	Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts. Sensors Alessio Rossi, Dino Pedreschi, David A. Clifton, Davide Morelli
2020	J	`jnl`	Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine. IEEE J. Biomed. Health Informatics Wei Chen, David A. Clifton, Brian A. Telfer
2020	J	`jnl`	Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu
2020	J	`jnl`	PCPs: Patient Cardiac Prototypes. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton
2020	J	`jnl`	SoQal: Selective Oracle Questioning in Active Learning. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	A*	`conf`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. ICML Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. CoRR Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2019	J	`jnl`	Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations. Sensors Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton
2019	J	`jnl`	Application of machine learning techniques to tuberculosis drug resistance analysis. Bioinform. Samaneh Kouchaki, Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, CRyPTIC Consortium, David A. Clifton
2019	—	`conf`	Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton
2019	J	`jnl`	DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. Bioinform. Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, Farah Shamout, CRyPTIC Consortium, Tingting Zhu, David A. Clifton
2019	J	`jnl`	Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward. IEEE J. Biomed. Health Informatics Glen Wright Colopy, Stephen J. Roberts, David A. Clifton
2019	J	`jnl`	Patient centred variables with univariate associations with unplanned ICU admission: a systematic review. BMC Medical Informatics Decis. Mak. James Malycha, Timothy Bonnici, David A. Clifton, Guy Ludbrook, J. Duncan Young, Peter J. Watkinson
2019	J	`jnl`	Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes. IEEE Access Tingting Zhu, Glen Wright Colopy, Glenn H. MacEwen, Katherine E. Niehaus, Yang Yang, Chris W. Pugh, David A. Clifton
2019	J	`jnl`	Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. CoRR Pulkit Sharma, Farah E. Shamout, David A. Clifton
2019	J	`jnl`	Severity Detection Tool for Patients with Infectious Disease. CoRR Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H. Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton
2019	J	`jnl`	Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. IEEE J. Biomed. Health Informatics Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
2018	J	`jnl`	A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography. IEEE Trans. Biomed. Eng. Drew A. Birrenkott, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton
2018	J	`jnl`	Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring. IEEE J. Biomed. Health Informatics Glen Wright Colopy, Stephen J. Roberts, David A. Clifton
2018	C	`conf`	Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton
2018	—	`conf`	Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes. BHI Tingting Zhu, Glen Wright Colopy, Chris W. Pugh, David A. Clifton
2018	J	`jnl`	Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. Bioinform. Yang Yang, Katherine E. Niehaus, Timothy M. Walker, Zamin Iqbal, A. Sarah Walker, Daniel J. Wilson, Tim E. A. Peto, Derrick W. Crook, E. Grace Smith, Tingting Zhu, David A. Clifton
2018	J	`jnl`	Point process models for novelty detection on spatial point patterns and their extremes. Comput. Stat. Data Anal. Stijn Luca, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton
2018	J	`jnl`	Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors Delaram Jarchi, Dario Salvi, Lionel Tarassenko, David A. Clifton
2018	C	`conf`	Visualisation of long-term ECG signals applied to post-intensive care patients. BSN Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton
2017	J	`jnl`	Accidental infrastructure for groundwater monitoring in Africa. Environ. Model. Softw. Farah E. Colchester, Heloise G. Marais, Patrick Thomson, Robert Hope, David A. Clifton
2017	—	`conf`	Bayesian optimisation of Gaussian processes for identifying the deteriorating patient. BHI Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton
2017	—	`conf`	Likelihood-based artefact detection in continuously-acquired patient vital signs. EMBC Glen Wright Colopy, Tingting Zhu, Lei A. Clifton, Stephen J. Roberts, David A. Clifton
2017	J	`jnl`	Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton
2016	—	`conf`	Analysis of Teens' Chronic Stress on Micro-blog. WISE (2) Yuanyuan Xue, Qi Li, Liang Zhao, Jia Jia, Ling Feng, Feng Yu, David A. Clifton
2016	—	`conf`	Bayesian Gaussian processes for identifying the deteriorating patient. EMBC Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton
2016	J	`jnl`	Machine Learning and Decision Support in Critical Care. Proc. IEEE Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
2016	J	`jnl`	One-class classification of point patterns of extremes. J. Mach. Learn. Res. Stijn Luca, David A. Clifton, Bart Vanrumste
2016	—	`conf`	Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank. EMBC Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A. Clifton
2016	—	`conf`	Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices. EMBC Drew A. Birrenkott, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton
2015	A*	`conf`	A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. AAAI Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
2015	—	`conf`	Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. EMBC Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
2015	J	`jnl`	Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford
2015	J	`jnl`	Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. IEEE Trans. Biomed. Eng. Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton
2015	—	`conf`	Phenotypic characterisation of Crohn's disease severity. EMBC Katherine E. Niehaus, Holm H. Uhlig, David A. Clifton
2015	J	`jnl`	Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics Christina Orphanidou, Timothy Bonnici, Peter Charlton, David A. Clifton, David Vallance, Lionel Tarassenko
2014	J	`jnl`	A review of novelty detection. Signal Process. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2014	—	`conf`	A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes. MLSP Robert Dürichen, Tobias Wissel, Floris Ernst, Marco A. F. Pimentel, David A. Clifton, Achim Schweikard
2014	C	`conf`	Detecting Adolescent Psychological Pressures from Micro-Blog. HIS Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford
2014	J	`jnl`	Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko
2014	—	`conf`	Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis. BHI Katherine E. Niehaus, Timothy M. Walker, Derrick W. Crook, Tim E. A. Peto, David A. Clifton
2014	—	`conf`	Multi-task Gaussian process models for biomedical applications. BHI Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton
2014	—	`conf`	Physiological trajectory of patients pre and post ICU discharge EMBC Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko
2014	J	`jnl`	Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2014	J	`jnl`	Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin
2013	—	`conf`	A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES Sara Khalid, David A. Clifton, Lionel Tarassenko
2013	J	`jnl`	A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
2013	J	`jnl`	An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko
2013	J	`jnl`	Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2013	—	`conf`	Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko
2013	J	`jnl`	Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2013	—	`conf`	Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES Mauro D. Santos, David A. Clifton, Lionel Tarassenko
2013	—	`conf`	Probabilistic estimation of respiratory rate using Gaussian processes. EMBC Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2013	—	`conf`	Towards a micro-blog platform for sensing and easing adolescent psychological pressures. UbiComp (Adjunct Publication) Yuanyuan Xue, Qi Li, Ling Feng, Gari D. Clifford, David A. Clifton
2012	J	`jnl`	A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2012	—	`conf`	Gaussian process regression in vital-sign early warning systems. EMBC Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2012	J	`jnl`	Introduction. Int. J. Neural Syst. Hujun Yin, David A. Clifton
2012	—	`conf`	Machine learning and software engineering in health informatics. RAISE@ICSE David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko
2012	C	`conf`	Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE David Wong, David A. Clifton, Lionel Tarassenko
2012	—	`conf`	Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	—	`conf`	Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines. ISBI Kiryl Chykeyuk, David A. Clifton, J. Alison Noble
2011	—	`conf`	Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines. Computer-Aided Diagnosis Kiryl Chykeyuk, David A. Clifton, J. Alison Noble
2011	C	`conf`	Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	C	`conf`	Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
2011	J	`jnl`	Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. David A. Clifton, Samuel Hugueny, Lionel Tarassenko
2011	—	`conf`	Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2011	—	`conf`	Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP David A. Clifton, Samuel Hugueny, Lionel Tarassenko
2010	—	`conf`	Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS Samuel Hugueny, David A. Clifton, Lionel Tarassenko
2010	—	`conf`	Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) Samuel Hugueny, David A. Clifton, Lionel Tarassenko
2008	—	`ch.`	Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko
2007	—	`conf`	Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC Lei A. Clifton, Hujun Yin, David A. Clifton, Yang Zhang
2007	C	`conf`	Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE David A. Clifton, Peter R. Bannister, Lionel Tarassenko
2006	C	`conf`	Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE David A. Clifton, Peter R. Bannister, Lionel Tarassenko
2006	—	`conf`	Learning Shape for Jet Engine Novelty Detection. ISNN (2) David A. Clifton, Peter R. Bannister, Lionel Tarassenko