David A. Clifton

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 147

Top Venues

CoRR

IEEE J. Biomed. Health Informatics

Sensors

BHI

Publications

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 (2024)
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 (2024)
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 (2024)
Shreyank N. Gowda, David A. Clifton
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. CoRR (2024)
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)
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 (2024)
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) (2024)
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) (2024)
James 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 Wood
Voice EHR: Introducing Multimodal Audio Data for Health. CoRR (2024)
Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton
Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR (2024)
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) (2024)
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) (2024)
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) (2024)
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 (2024)
Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. CoRR (2024)
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) (2024)
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 (2024)
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) (2024)
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)
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) (2024)
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) (2024)
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) (2024)
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)
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)
Shreyank N. Gowda, Boyan Gao, David A. Clifton
FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos. FG (2024)
Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
Sample Selection Bias in Machine Learning for Healthcare. CoRR (2024)
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 (2023)
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)
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 (2023)
Huiqi 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) (2023)
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) (2023)
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 (2023)
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)
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)
Marzia Hoque Tania, David A. Clifton
Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective. SKIMA (2023)
Morteza Rohanian, Farhad Nooralahzadeh, Omid Rohanian, David A. Clifton, Michael Krauthammer
Disfluent Cues for Enhanced Speech Understanding in Large Language Models. EMNLP (Findings) (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR (2023)
Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
On the effectiveness of compact biomedical transformers. Bioinform. 39 (3) (2023)
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) (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A Brief Review of Hypernetworks in Deep Learning. CoRR (2023)
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) (2023)
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) (2023)
Peng Xu, Xiatian Zhu, David A. Clifton
Multimodal Learning With Transformers: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Alexey Youssef, Michael 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 (2023)
Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL (2023)
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)
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) (2023)
Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
Ziyun Li, Xinshao Wang, Neil M. Robertson, David A. Clifton, Christoph Meinel, Haojin Yang
SMKD: Selective Mutual Knowledge Distillation. IJCNN (2023)
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)
Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton
Lightweight Transformers for Clinical Natural Language Processing. CoRR (2023)
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 (2023)
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)
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) (2023)
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) (2023)
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 (2023)
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 (2022)
Taha Ceritli, Andrew P. Creagh, David A. Clifton
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR (2022)
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)
Taha Ceritli, Andrew P. Creagh, David A. Clifton
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI (2022)
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)
Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. CoRR (2022)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
COPER: Continuous Patient State Perceiver. BHI (2022)
Peng Xu, Xiatian Zhu, David A. Clifton
Multimodal Learning with Transformers: A Survey. CoRR (2022)
Jenny Yang, David A. Clifton, Jane E. Hirst, Foteini K. Kavvoura, George Farah, Lucy Mackillop, Huiqi Lu
Machine Learning-Based Risk Stratification for Gestational Diabetes Management. Sensors 22 (13) (2022)
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 (2022)
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)
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 (2022)
Jacob Armstrong, David A. Clifton
Continual learning of longitudinal health records. BHI (2022)
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR (2022)
Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. SemEval@NAACL (2022)
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 (2022)
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) (2022)
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) (2022)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
COPER: Continuous Patient State Perceiver. CoRR (2022)
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) (2022)
Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
On the Effectiveness of Compact Biomedical Transformers. CoRR (2022)
Dani Kiyasseh, Tingting Zhu, David A. Clifton
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML (2022)
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) (2022)
Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden Doherty
Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR (2022)
Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR (2022)
Shuhao Cao, Peng Xu, David A. Clifton
How to Understand Masked Autoencoders. CoRR (2022)
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)
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) (2022)
Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR (2022)
Lei Lu, Tingting Zhu, Yuan-Ting Zhang, David A. Clifton
Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion. BHI (2022)
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 (2022)
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)
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)
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) (2021)
Davide Morelli, Alessio Rossi, Leonardo Bartoloni, Massimo Cairo, David A. Clifton
SDNN24 Estimation from Semi-Continuous HR Measures. Sensors 21 (4) (2021)
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) (2021)
Ziyun Li, Xinshao Wang, Haojin Yang, Di Hu, Neil Martin Robertson, David A. Clifton, Christoph Meinel
Not All Knowledge Is Created Equal. CoRR (2021)
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) (2021)
Rasheed el-Bouri, Tingting Zhu, David A. Clifton
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. CoRR (2021)
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) (2021)
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 (2021)

David A. Clifton.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David A. Clifton