default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid A. Clifton
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j92]Fenglin Liu
, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim M. Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton:
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digit. Medicine 8(1) (2025)- [j91]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:
RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 2212-2231 (2025) - [j90]Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim M. Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton:
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3332-3343 (2025) - [c67]Xin Wang, Ling Feng, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Yang Ding, Yi Dai, David A. Clifton:
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation. WWW 2025: 1866-1876 - [i63]Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang:
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. CoRR abs/2501.05017 (2025) - [i62]Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton:
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR abs/2502.01865 (2025) - [i61]Li Wang, Boyan Gao, Yanran Li, Zhao Wang, Xiaosong Yang, David A. Clifton, Jun Xiao:
Exploring the latent space of diffusion models directly through singular value decomposition. CoRR abs/2502.02225 (2025) - [i60]Vinod Kumar Chauhan, Lei A. Clifton, Gaurav Nigam, David A. Clifton:
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. CoRR abs/2502.08282 (2025) - [i59]Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton:
RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. CoRR abs/2503.03802 (2025) - 2024
- [j89]Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton:
A brief review of hypernetworks in deep learning. Artif. Intell. Rev. 57(9): 250 (2024) - [j88]Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado:
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. Artif. Intell. Medicine 157: 103002 (2024) - [j87]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, David A. Clifton:
Exploring the effectiveness of instruction tuning in biomedical language processing. Artif. Intell. Medicine 158: 103007 (2024) - [j86]Liangyi Lyu, Lei Lu, Hanjie Chen, David A. Clifton, Yuanting Zhang, Tapabrata Chakraborti:
An improved deep regression model with state space reconstruction for continuous blood pressure estimation. Comput. Electr. Eng. 118: 109319 (2024) - [j85]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:
Voice EHR: introducing multimodal audio data for health. Frontiers Digit. Health 6 (2024) - [j84]Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton:
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. 8(3): 555-575 (2024) - [j83]Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton:
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299: 112110 (2024) - [j82]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton:
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24(1): 117 (2024) - [j81]Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton:
Addressing label noise for electronic health records: insights from computer vision for tabular data. BMC Medical Informatics Decis. Mak. 24(1): 183 (2024) - [j80]Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton:
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. Mach. Learn. 113(5): 2655-2674 (2024) - [j79]Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, Laura Merson, David A. Clifton:
Lightweight transformers for clinical natural language processing. Nat. Lang. Eng. 30(5): 887-914 (2024) - [j78]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:
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine 7(1) (2024) - [j77]Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim M. Branson, David A. Clifton:
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine 7(1) (2024) - [j76]Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim M. Branson, David A. Clifton:
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine 7(1) (2024) - [j75]Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty:
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Medicine 7(1) (2024) - [j74]Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang:
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3305-3320 (2024) - [j73]Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton:
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5712-5724 (2024) - [j72]Yanting Shen, Lei Lu, Tingting Zhu, Xinshao Wang, Lei A. Clifton, Zhengming Chen, Robert Clarke, David A. Clifton:
AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6542-6558 (2024) - [j71]Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan:
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11136-11151 (2024) - [j70]Zhangdaihong Liu, Xuan Wu, Yang Yang, David A. Clifton:
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction. IEEE Trans. Biomed. Eng. 71(4): 1247-1256 (2024) - [j69]Zhangdaihong Liu, Tingting Zhu, Lei Lu, Yuan-Ting Zhang, David A. Clifton:
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. IEEE J. Biomed. Health Informatics 28(3): 1321-1330 (2024) - [j68]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton:
Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6478-6491 (2024) - [c66]Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton:
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS 2024: 1342-1350 - [c65]Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton:
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS 2024: 3529-3537 - [c64]Zhangdaihong Liu, Xuan Wu, Yang Yang, David A. Clifton:
A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases. BCB 2024: 94:1 - [c63]Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation. ECCV (45) 2024: 108-124 - [c62]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:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [c61]Shreyank N. Gowda, Boyan Gao, David A. Clifton:
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. FG 2024: 1-6 - [c60]Shreyank N. Gowda, David A. Clifton:
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. MICCAI (11) 2024: 426-436 - [i58]Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton:
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. CoRR abs/2401.00579 (2024) - [i57]Niall Taylor, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo J. Nevado-Holgado:
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks. CoRR abs/2402.10597 (2024) - [i56]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:
Voice EHR: Introducing Multimodal Audio Data for Health. CoRR abs/2404.01620 (2024) - [i55]Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton:
Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR abs/2405.00716 (2024) - [i54]Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim M. Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton:
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024) - [i53]Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong:
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. CoRR abs/2406.14377 (2024) - [i52]Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR abs/2407.04752 (2024) - [i51]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:
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine. CoRR abs/2407.10086 (2024) - [i50]Shreyank N. Gowda, David A. Clifton:
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. CoRR abs/2407.16264 (2024) - [i49]Shreyank N. Gowda, David A. Clifton:
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation. CoRR abs/2408.00181 (2024) - [i48]Shreyank N. Gowda, Boyan Gao, David A. Clifton:
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos. CoRR abs/2408.02421 (2024) - [i47]Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous:
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks. CoRR abs/2408.11288 (2024) - [i46]Jinge Wu, Yunsoo Kim, Daqian Shi, David A. Clifton, Fenglin Liu, Honghan Wu:
SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation. CoRR abs/2409.13321 (2024) - [i45]Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble:
F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. CoRR abs/2411.11912 (2024) - [i44]Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton:
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis. CoRR abs/2412.04413 (2024) - [i43]Xin Wang, Boyan Gao, Yi Dai, Lei Cao, Liang Zhao, Yibo Yang, David A. Clifton:
Cognition Chain for Explainable Psychological Stress Detection on Social Media. CoRR abs/2412.14009 (2024) - [i42]Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem:
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization. CoRR abs/2412.18177 (2024) - 2023
- [j67]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the effectiveness of compact biomedical transformers. Bioinform. 39(3) (2023) - [j66]Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan:
Graph representation learning based on deep generative gaussian mixture models. Neurocomputing 523: 157-169 (2023) - [j65]Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton:
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning. Nat. Mac. Intell. 5(8): 884-894 (2023) - [j64]Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton:
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks 165: 596-610 (2023) - [j63]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:
A medical multimodal large language model for future pandemics. npj Digit. Medicine 6 (2023) - [j62]Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton:
An adversarial training framework for mitigating algorithmic biases in clinical machine learning. npj Digit. Medicine 6 (2023) - [j61]Peng Xu, Xiatian Zhu, David A. Clifton:
Multimodal Learning With Transformers: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12113-12132 (2023) - [j60]Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton:
Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 23(14): 6571 (2023) - [j59]Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton:
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 23(18): 7705 (2023) - [j58]Huiqi Y. Lu, Ping Lu, Jane E. Hirst, Lucy Mackillop, David A. Clifton:
A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus. Sensors 23(18): 7990 (2023) - [j57]Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton:
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. 70(4): 1340-1350 (2023) - [j56]Zhangdaihong Liu, Ying Hu, Xuan Wu, Gert Mertes, Yang Yang, David A. Clifton:
Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention. IEEE Trans. Biomed. Eng. 70(8): 2329-2337 (2023) - [j55]Lei Lu, Ying Tan, Denny Oetomo, Iven Mareels, David A. Clifton:
Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation. IEEE Trans. Cybern. 53(11): 6883-6895 (2023) - [j54]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. IEEE J. Biomed. Health Informatics 27(3): 1249-1258 (2023) - [j53]Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton:
Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models. IEEE J. Biomed. Health Informatics 27(3): 1624-1634 (2023) - [j52]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. Trans. Mach. Learn. Res. 2023 (2023) - [c59]Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton:
Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS 2023: 837-849 - [c58]Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Vinod Kumar, Bronner P. Gonçalves, Christiana Kartsonaki, Isaric Clinical Characterisation Group, Laura Merson, David A. Clifton:
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. BioNLP@ACL 2023: 62-78 - [c57]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL 2023: 1153-1165 - [c56]Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer:
Disfluent Cues for Enhanced Speech Understanding in Large Language Models. EMNLP (Findings) 2023: 3676-3684 - [c55]Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang:
SMKD: Selective Mutual Knowledge Distillation. IJCNN 2023: 1-8 - [c54]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS 2023 - [c53]Marzia Hoque Tania, David A. Clifton:
Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective. SKIMA 2023: 40-44 - [i41]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR abs/2302.01735 (2023) - [i40]Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton:
Lightweight Transformers for Clinical Natural Language Processing. CoRR abs/2302.04725 (2023) - [i39]Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton:
Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR abs/2302.14679 (2023) - [i38]Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton:
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation. CoRR abs/2303.06458 (2023) - [i37]Alexey Youssef, Michael J. Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah:
All models are local: time to replace external validation with recurrent local validation. CoRR abs/2305.03219 (2023) - [i36]Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton:
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR abs/2305.03710 (2023) - [i35]Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton:
Is dataset condensation a silver bullet for healthcare data sharing? CoRR abs/2305.03711 (2023) - [i34]Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton:
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR abs/2305.15984 (2023) - [i33]Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton:
A Brief Review of Hypernetworks in Deep Learning. CoRR abs/2306.06955 (2023) - [i32]Rushuang Zhou, Lei Lu, Zijun Liu, Ting Xiang, Zhen Liang, David A. Clifton, Yining Dong, Yuan-Ting Zhang:
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study. CoRR abs/2306.10494 (2023) - [i31]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:
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR abs/2309.00810 (2023) - 2022
- [j51]Jenny Yang, Andrew A. S. Soltan, David A. Clifton:
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. npj Digit. Medicine 5 (2022) - [j50]Gert Mertes, Yuan Long, Zhangdaihong Liu, Yuhui Li, Yang Yang, David A. Clifton:
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography. Sensors 22(9): 3303 (2022) - [j49]Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton:
Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. Sensors 22(10): 3866 (2022) - [j48]Jenny Yang, David A. Clifton, Jane E. Hirst, Foteini K. Kavvoura, George Farah, Lucy Mackillop, Huiqi Y. Lu:
Machine Learning-Based Risk Stratification for Gestational Diabetes Management. Sensors 22(13): 4805 (2022) - [j47]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:
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. Sensors 22(17): 6554 (2022) - [j46]Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton:
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics 26(4): 1528-1537 (2022) - [j45]Anshul Thakur, Pulkit Sharma, David A. Clifton:
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications. IEEE J. Biomed. Health Informatics 26(4): 1761-1772 (2022) - [c52]Jacob Armstrong, David A. Clifton:
Continual learning of longitudinal health records. BHI 2022: 1-6 - [c51]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI 2022: 1-8 - [c50]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton:
COPER: Continuous Patient State Perceiver. BHI 2022: 1-4 - [c49]Lei Lu, Tingting Zhu, Yuan-Ting Zhang, David A. Clifton:
Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion. BHI 2022: 1-4 - [c48]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop 2022: 41-53 - [c47]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML 2022: 11302-11340 - [c46]Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen:
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations. NeurIPS 2022 - [c45]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton:
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. NeurIPS 2022 - [c44]Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton:
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. SemEval@NAACL 2022: 1071-1077 - [e1]Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang:
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA. Proceedings of Machine Learning Research 184, PMLR 2022 [contents] - [d1]Heloise Greeff, A. Manandhar, Patrick Thomson, Robert Hope, David A. Clifton:
Condition Monitoring for Handpumps - vibration data. IEEE DataPort, 2022
- [i30]Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR abs/2201.03004 (2022) - [i29]Shuhao Cao, Peng Xu, David A. Clifton:
How to Understand Masked Autoencoders. CoRR abs/2202.03670 (2022) - [i28]Anna Antoniou, Giacomo Dossena, Julia MacMillan, Steven Hamblin, David A. Clifton, Paula Petrone:
Assessing the risk of re-identification arising from an attack on anonymised data. CoRR abs/2203.16921 (2022) - [i27]Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton:
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. CoRR abs/2204.00556 (2022) - [i26]Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. Clifton:
Deep Reinforcement Learning for Multi-class Imbalanced Training. CoRR abs/2205.12070 (2022) - [i25]Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty:
Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR abs/2206.02909 (2022) - [i24]Peng Xu, Xiatian Zhu, David A. Clifton:
Multimodal Learning with Transformers: A Survey. CoRR abs/2206.06488 (2022) - [i23]Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. CoRR abs/2207.00118 (2022) - [i22]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR abs/2207.11846 (2022) - [i21]Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton:
COPER: Continuous Patient State Perceiver. CoRR abs/2208.03196 (2022) - [i20]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the Effectiveness of Compact Biomedical Transformers. CoRR abs/2209.03182 (2022) - [i19]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR abs/2210.06425 (2022) - [i18]Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Bronner P. Gonçalves, Christiana Kartsonaki, Laura Merson, David A. Clifton:
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. CoRR abs/2210.09440 (2022) - [i17]Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton:
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR abs/2210.10530 (2022) - [i16]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton:
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions. CoRR abs/2210.12777 (2022) - [i15]Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen:
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations. CoRR abs/2211.11427 (2022) - 2021
- [j44]Yang Yang, Timothy M. Walker, Samaneh Kouchaki, Chenyang Wang, Timothy E. A Peto, Derrick W. Crook, David A. Clifton:
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction. Briefings Bioinform. 22(6) (2021) - [j43]Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson, Jordi Alastruey:
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. 65: 102339 (2021) - [j42]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:
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. J. Am. Medical Informatics Assoc. 28(8): 1719-1727 (2021) - [j41]Davide Morelli, Alessio Rossi, Leonardo Bartoloni, Massimo Cairo, David A. Clifton:
SDNN24 Estimation from Semi-Continuous HR Measures. Sensors 21(4): 1463 (2021) - [j40]Xinyu Jiang, Ke Xu, Xiangyu Liu, Chenyun Dai, David A. Clifton, Edward A. Clancy, Metin Akay, Wei Chen:
Neuromuscular Password-Based User Authentication. IEEE Trans. Ind. Informatics 17(4): 2641-2652 (2021) - [j39]Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. IEEE J. Biomed. Health Informatics 25(1): 289-300 (2021) - [j38]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:
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 25(4): 903-908 (2021) - [j37]Xinyu Jiang, Ke Xu, Xiangyu Liu, Chenyun Dai, David A. Clifton, Edward A. Clancy, Metin Akay, Wei Chen:
Cancelable HD-sEMG-Based Biometrics for Cross-Application Discrepant Personal Identification. IEEE J. Biomed. Health Informatics 25(4): 1070-1079 (2021) - [j36]Ting Xiang, Nan Ji, David A. Clifton, Lei Lu, Yuan-Ting Zhang:
Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals. IEEE J. Biomed. Health Informatics 25(11): 4163-4174 (2021) - [c43]Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. CVPR 2021: 752-761 - [c42]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. ICML 2021: 5606-5615 - [c41]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. NeurIPS 2021: 15557-15569 - [i14]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. CoRR abs/2103.11011 (2021) - [i13]Ziyun Li, Xinshao Wang, Haojin Yang, Di Hu, Neil Martin Robertson, David A. Clifton, Christoph Meinel:
Not All Knowledge Is Created Equal. CoRR abs/2106.01489 (2021) - [i12]Rasheed el-Bouri, Tingting Zhu, David A. Clifton:
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. CoRR abs/2107.01707 (2021) - [i11]Jacob Armstrong, David A. Clifton:
Continual learning of longitudinal health records. CoRR abs/2112.11944 (2021) - 2020
- [j35]Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sîrbu, David A. Clifton, Claudia Martini, Davide Morelli:
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults. Data 5(4): 91 (2020) - [j34]Alessio Rossi, Dino Pedreschi, David A. Clifton, Davide Morelli:
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts. Sensors 20(24): 7122 (2020) - [j33]Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton:
Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE J. Biomed. Health Informatics 24(2): 437-446 (2020) - [j32]Wei Chen, David A. Clifton, Brian A. Telfer:
Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine. IEEE J. Biomed. Health Informatics 24(7): 1858-1859 (2020) - [j31]Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu:
Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics 24(7): 2131-2141 (2020) - [j30]Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton:
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics 24(11): 3226-3235 (2020) - [c40]Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. ICML 2020: 2848-2857 - [i10]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
ALPS: Active Learning via Perturbations. CoRR abs/2004.09557 (2020) - [i9]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOPS: Continual Learning of Physiological Signals. CoRR abs/2004.09578 (2020) - [i8]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
SoQal: Selective Oracle Questioning in Active Learning. CoRR abs/2004.10468 (2020) - [i7]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOCS: Contrastive Learning of Cardiac Signals. CoRR abs/2005.13249 (2020) - [i6]Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton:
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. CoRR abs/2007.01135 (2020) - [i5]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
PCPs: Patient Cardiac Prototypes. CoRR abs/2011.14227 (2020) - [i4]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. CoRR abs/2011.14230 (2020)
2010 – 2019
- 2019
- [j29]Tingting Zhu, Glen Wright Colopy, Glenn H. MacEwen, Katherine E. Niehaus, Yang Yang, Chris W. Pugh, David A. Clifton:
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes. IEEE Access 7: 58094-58103 (2019) - [j28]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:
Application of machine learning techniques to tuberculosis drug resistance analysis. Bioinform. 35(13): 2276-2282 (2019) - [j27]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:
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. Bioinform. 35(18): 3240-3249 (2019) - [j26]James Malycha, Timothy Bonnici, David A. Clifton, Guy Ludbrook, J. Duncan Young, Peter J. Watkinson:
Patient centred variables with univariate associations with unplanned ICU admission: a systematic review. BMC Medical Informatics Decis. Mak. 19(1): 98:1-98:9 (2019) - [j25]Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton:
Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations. Sensors 19(14): 3163 (2019) - [j24]Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton:
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. IEEE J. Biomed. Health Informatics 23(1): 47-58 (2019) - [j23]Glen Wright Colopy, Stephen J. Roberts, David A. Clifton:
Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward. IEEE J. Biomed. Health Informatics 23(3): 949-959 (2019) - [c39]Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton:
Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC 2019: 4262-4265 - [i3]Pulkit Sharma, Farah E. Shamout, David A. Clifton:
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality. CoRR abs/1912.00354 (2019) - [i2]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:
Severity Detection Tool for Patients with Infectious Disease. CoRR abs/1912.05345 (2019) - 2018
- [j22]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:
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. Bioinform. 34(10): 1666-1671 (2018) - [j21]Stijn Luca, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton:
Point process models for novelty detection on spatial point patterns and their extremes. Comput. Stat. Data Anal. 125: 86-103 (2018) - [j20]Delaram Jarchi, Dario Salvi, Lionel Tarassenko, David A. Clifton:
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors 18(11): 3705 (2018) - [j19]Drew A. Birrenkott, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton:
A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography. IEEE Trans. Biomed. Eng. 65(9): 2033-2041 (2018) - [j18]Glen Wright Colopy, Stephen J. Roberts, David A. Clifton:
Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring. IEEE J. Biomed. Health Informatics 22(2): 301-310 (2018) - [c38]Tingting Zhu, Glen Wright Colopy, Chris W. Pugh, David A. Clifton:
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes. BHI 2018: 186-189 - [c37]Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton:
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN 2018: 144-147 - [c36]Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton:
Visualisation of long-term ECG signals applied to post-intensive care patients. BSN 2018: 165-168 - 2017
- [j17]Farah E. Colchester, Heloise G. Marais, Patrick Thomson, Robert Hope, David A. Clifton:
Accidental infrastructure for groundwater monitoring in Africa. Environ. Model. Softw. 91: 241-250 (2017) - [j16]Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton:
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. 64(8): 1914-1923 (2017) - [c35]Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton:
Bayesian optimisation of Gaussian processes for identifying the deteriorating patient. BHI 2017: 85-88 - [c34]Glen Wright Colopy, Tingting Zhu, Lei A. Clifton, Stephen J. Roberts, David A. Clifton:
Likelihood-based artefact detection in continuously-acquired patient vital signs. EMBC 2017: 2146-2149 - 2016
- [j15]Stijn Luca, David A. Clifton, Bart Vanrumste:
One-class classification of point patterns of extremes. J. Mach. Learn. Res. 17: 191:1-191:21 (2016) - [j14]Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford:
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104(2): 444-466 (2016) - [c33]Drew A. Birrenkott, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton:
Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices. EMBC 2016: 676-679 - [c32]Yanting Shen, Yang Yang, Sarah Parish, Zhengming Chen, Robert Clarke, David A. Clifton:
Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank. EMBC 2016: 2419-2422 - [c31]Glen Wright Colopy, Marco A. F. Pimentel, Stephen J. Roberts, David A. Clifton:
Bayesian Gaussian processes for identifying the deteriorating patient. EMBC 2016: 5311-5314 - [c30]Yuanyuan Xue, Qi Li, Liang Zhao, Jia Jia, Ling Feng, Feng Yu, David A. Clifton:
Analysis of Teens' Chronic Stress on Micro-blog. WISE (2) 2016: 121-136 - 2015
- [j13]Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton:
Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. IEEE Trans. Biomed. Eng. 62(1): 314-322 (2015) - [j12]Christina Orphanidou, Timothy Bonnici, Peter Charlton, David A. Clifton, David Vallance, Lionel Tarassenko:
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics 19(3): 832-838 (2015) - [c29]Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng:
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. AAAI 2015: 446-453 - [c28]Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton:
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. EMBC 2015: 6138-6141 - [c27]Katherine E. Niehaus, Holm H. Uhlig, David A. Clifton:
Phenotypic characterisation of Crohn's disease severity. EMBC 2015: 7023-7026 - [i1]Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford:
Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR abs/1503.06619 (2015) - 2014
- [j11]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
A review of novelty detection. Signal Process. 99: 215-249 (2014) - [j10]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics 18(3): 722-730 (2014) - [j9]Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin:
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [j8]David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. 74(3): 323-339 (2014) - [c26]Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton:
Multi-task Gaussian process models for biomedical applications. BHI 2014: 492-495 - [c25]Katherine E. Niehaus, Timothy M. Walker, Derrick W. Crook, Tim E. A. Peto, David A. Clifton:
Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis. BHI 2014: 618-621 - [c24]Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko:
Physiological trajectory of patients pre and post ICU discharge1. EMBC 2014: 3160-3163 - [c23]Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A. Clifton, Gari D. Clifford:
Detecting Adolescent Psychological Pressures from Micro-Blog. HIS 2014: 83-94 - [c22]Robert Dürichen, Tobias Wissel, Floris Ernst, Marco A. F. Pimentel, David A. Clifton, Achim Schweikard:
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes. MLSP 2014: 1-6 - 2013
- [j7]David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko:
An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. 7(1): 28-37 (2013) - [j6]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. 51(8): 869-877 (2013) - [j5]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. 60(1): 193-197 (2013) - [j4]David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko:
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics 17(4): 835-842 (2013) - [c21]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Probabilistic estimation of respiratory rate using Gaussian processes. EMBC 2013: 2902-2905 - [c20]Sara Khalid, David A. Clifton, Lionel Tarassenko:
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES 2013: 146-158 - [c19]Mauro D. Santos, David A. Clifton, Lionel Tarassenko:
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES 2013: 159-169 - [c18]Yuanyuan Xue, Qi Li, Ling Feng, Gari D. Clifford, David A. Clifton:
Towards a micro-blog platform for sensing and easing adolescent psychological pressures. UbiComp (Adjunct Publication) 2013: 215-218 - [c17]Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko:
Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP 2013: 1-6 - 2012
- [j3]Hujun Yin, David A. Clifton:
Introduction. Int. J. Neural Syst. 22(5) (2012) - [j2]Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. 16(6): 1231-1238 (2012) - [c16]David Wong, David A. Clifton, Lionel Tarassenko:
Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE 2012: 187-192 - [c15]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS 2012: 410-413 - [c14]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko:
Gaussian process regression in vital-sign early warning systems. EMBC 2012: 6161-6164 - [c13]David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko:
Machine learning and software engineering in health informatics. RAISE@ICSE 2012: 37-41 - 2011
- [j1]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. 65(3): 371-389 (2011) - [c12]Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS 2011: 425-428 - [c11]Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko:
Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS 2011: 125-131 - [c10]David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko:
Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL 2011: 220-227 - [c9]Kiryl Chykeyuk, David A. Clifton, J. Alison Noble:
Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines. ISBI 2011: 677-680 - [c8]Kiryl Chykeyuk, David A. Clifton, J. Alison Noble:
Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines. Computer-Aided Diagnosis 2011: 79630H - [c7]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP 2011: 1-6 - 2010
- [c6]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS 2010: 5-12 - [c5]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) 2010: 199-211
2000 – 2009
- 2008
- [p1]David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems 2008: 269-296 - 2007
- [c4]Lei A. Clifton, Hujun Yin, David A. Clifton, Yang Zhang:
Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC 2007: 495-500 - [c3]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE 2007: 591-600 - 2006
- [c2]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE 2006: 1149-1158 - [c1]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Learning Shape for Jet Engine Novelty Detection. ISNN (2) 2006: 828-835
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-12 21:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
