David A. Clifton
Orcid: 0000-0002-9848-8555
According to our database1,
David A. Clifton
authored at least 161 papers
between 2006 and 2024.
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Bibliography
2024
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure Prediction.
IEEE Trans. Biomed. Eng., April, 2024
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring.
IEEE J. Biomed. Health Informatics, March, 2024
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
npj Digit. Medicine, 2024
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks.
CoRR, 2024
CoRR, 2024
2023
IEEE Trans. Cybern., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus.
Sensors, September, 2023
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, September, 2023
IEEE Trans. Biomed. Eng., August, 2023
Neural Networks, August, 2023
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.
Nat. Mac. Intell., August, 2023
Sensors, July, 2023
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., April, 2023
IEEE J. Biomed. Health Informatics, March, 2023
IEEE J. Biomed. Health Informatics, March, 2023
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients.
Trans. Mach. Learn. Res., 2023
An adversarial training framework for mitigating algorithmic biases in clinical machine learning.
npj Digit. Medicine, 2023
npj Digit. Medicine, 2023
Neurocomputing, 2023
CoRR, 2023
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation.
CoRR, 2023
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention.
CoRR, 2023
All models are local: time to replace external validation with recurrent local validation.
CoRR, 2023
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
CoRR, 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
CoRR, 2023
Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective.
Proceedings of the 15th International Conference on Software, 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications.
IEEE J. Biomed. Health Informatics, 2022
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data.
IEEE J. Biomed. Health Informatics, 2022
Sensors, 2022
A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.
Sensors, 2022
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.
Sensors, 2022
Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.
Sensors, 2022
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening.
npj Digit. Medicine, 2022
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints.
CoRR, 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State.
CoRR, 2022
Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data.
CoRR, 2022
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care.
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
Cancelable HD-sEMG-Based Biometrics for Cross-Application Discrepant Personal Identification.
IEEE J. Biomed. Health Informatics, 2021
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, 2021
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults.
J. Am. Medical Informatics Assoc., 2021
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning.
CoRR, 2021
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals.
CoRR, 2021
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring.
Biomed. Signal Process. Control., 2021
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Briefings Bioinform., 2021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.
IEEE J. Biomed. Health Informatics, 2020
Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine.
IEEE J. Biomed. Health Informatics, 2020
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts.
Sensors, 2020
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults.
Data, 2020
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes.
CoRR, 2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.
IEEE J. Biomed. Health Informatics, 2019
Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down Ward.
IEEE J. Biomed. Health Informatics, 2019
Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations.
Sensors, 2019
Patient centred variables with univariate associations with unplanned ICU admission: a systematic review.
BMC Medical Informatics Decis. Mak., 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality.
CoRR, 2019
Bioinform., 2019
Bioinform., 2019
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes.
IEEE Access, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE J. Biomed. Health Informatics, 2018
A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography.
IEEE Trans. Biomed. Eng., 2018
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions.
Sensors, 2018
Point process models for novelty detection on spatial point patterns and their extremes.
Comput. Stat. Data Anal., 2018
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.
Bioinform., 2018
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
IEEE Trans. Biomed. Eng., 2017
Environ. Model. Softw., 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Bayesian optimisation of Gaussian processes for identifying the deteriorating patient.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Risk prediction for cardiovascular disease using ECG data in the China kadoorie biobank.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring.
IEEE J. Biomed. Health Informatics, 2015
IEEE Trans. Biomed. Eng., 2015
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces.
J. Signal Process. Syst., 2014
IEEE Trans. Reliab., 2014
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the Health Information Science - Third International Conference, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department.
IEEE J. Biomed. Health Informatics, 2013
IEEE Trans. Biomed. Eng., 2013
Medical Biol. Eng. Comput., 2013
IEEE J. Sel. Top. Signal Process., 2013
Gaussian process clustering for the functional characterisation of vital-sign trajectories.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Towards a micro-blog platform for sensing and easing adolescent psychological pressures.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department.
Proceedings of the Foundations of Health Information Engineering and Systems, 2013
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations.
Proceedings of the Foundations of Health Information Engineering and Systems, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement.
IEEE Trans. Inf. Technol. Biomed., 2012
Proceedings of the First International Workshop on Realizing AI Synergies in Software Engineering, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Vital-sign Data Fusion Models for Post-operative Patients.
Proceedings of the BIOSIGNALS 2012, 2012
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
J. Signal Process. Syst., 2011
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011
Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data.
Proceedings of the BIOSIGNALS 2011, 2011
2010
Proceedings of the Biomedical Engineering Systems and Technologies, 2010
Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration.
Proceedings of the BIOSIGNALS 2010, 2010
2008
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008
2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Applied Artificial Intelligence, 2006