David A. Clifton

Orcid: 0000-0002-9848-8555

According to our database1, David A. Clifton authored at least 190 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Addressing label noise for electronic health records: insights from computer vision for tabular data.
BMC Medical Informatics Decis. Mak., December, 2024

Continuous patient state attention model for addressing irregularity in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2024

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks.
J. Heal. Informatics Res., September, 2024

A brief review of hypernetworks in deep learning.
Artif. Intell. Rev., September, 2024

ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Incremental Trainable Parameter Selection in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare.
Mach. Learn., 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

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
npj Digit. Medicine, 2024

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine, 2024

Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
npj Digit. Medicine, 2024

Lightweight transformers for clinical natural language processing.
Nat. Lang. Eng., 2024

Temporal dynamics unleashed: Elevating variational graph attention.
Knowl. Based Syst., 2024

SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation.
CoRR, 2024

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks.
CoRR, 2024

Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine.
CoRR, 2024

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.
CoRR, 2024

Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection.
CoRR, 2024

Sample Selection Bias in Machine Learning for Healthcare.
CoRR, 2024

Large Language Models in Healthcare: A Comprehensive Benchmark.
CoRR, 2024

Voice EHR: Introducing Multimodal Audio Data for Health.
CoRR, 2024

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing.
CoRR, 2024

An improved deep regression model with state space reconstruction for continuous blood pressure estimation.
Comput. Electr. Eng., 2024

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.
Artif. Intell. Medicine, 2024

Exploring the effectiveness of instruction tuning in biomedical language processing.
Artif. Intell. Medicine, 2024

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FE-Adapter: Adapting Image-Based Emotion Classifiers to Videos.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

A Comparison of Representation Learning Methods for Medical Concepts in EHR Databases.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Weak Monotonicity With Trend Analysis for Unsupervised Feature Evaluation.
IEEE Trans. Cybern., November, 2023

Multimodal Learning With Transformers: A Survey.
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

Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.
IEEE Trans. Biomed. Eng., August, 2023

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks.
Neural Networks, August, 2023

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.
Nat. Mac. Intell., August, 2023

Improving Diagnostics with Deep Forest Applied to Electronic Health Records.
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

Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models.
IEEE J. Biomed. Health Informatics, March, 2023

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.
IEEE J. Biomed. Health Informatics, March, 2023

On the effectiveness of compact biomedical transformers.
Bioinform., 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

A medical multimodal large language model for future pandemics.
npj Digit. Medicine, 2023

Graph representation learning based on deep generative gaussian mixture models.
Neurocomputing, 2023

RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model.
CoRR, 2023

Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation.
CoRR, 2023

Is dataset condensation a silver bullet for healthcare data sharing?
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

Synthesizing Mixed-type Electronic Health Records using Diffusion Models.
CoRR, 2023

Lightweight Transformers for Clinical Natural Language Processing.
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

SMKD: Selective Mutual Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Disfluent Cues for Enhanced Speech Understanding in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers.
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

Adversarial De-confounding in Individualised Treatment Effects Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Condition Monitoring for Handpumps - vibration data.
Dataset, May, 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

Machine Learning-Based Risk Stratification for Gestational Diabetes Management.
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

Multimodal Learning with Transformers: A Survey.
CoRR, 2022

Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data.
CoRR, 2022

Deep Reinforcement Learning for Multi-class Imbalanced Training.
CoRR, 2022

Assessing the risk of re-identification arising from an attack on anonymised data.
CoRR, 2022

How to Understand Masked Autoencoders.
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

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.
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

Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

COPER: Continuous Patient State Perceiver.
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

Continual learning of longitudinal health records.
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

Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals.
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

Neuromuscular Password-Based User Authentication.
IEEE Trans. Ind. Informatics, 2021

SDNN24 Estimation from Semi-Continuous HR Measures.
Sensors, 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

Not All Knowledge Is Created Equal.
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

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients.
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
Multi-Modal Diagnosis of Infectious Diseases in the Developing World.
IEEE J. Biomed. Health Informatics, 2020

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration.
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

PCPs: Patient Cardiac Prototypes.
CoRR, 2020

CLOCS: Contrastive Learning of Cardiac Signals.
CoRR, 2020

SoQal: Selective Oracle Questioning in Active Learning.
CoRR, 2020

CLOPS: Continual Learning of Physiological Signals.
CoRR, 2020

ALPS: Active Learning via Perturbations.
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

Severity Detection Tool for Patients with Infectious Disease.
CoRR, 2019

Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality.
CoRR, 2019

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.
Bioinform., 2019

Application of machine learning techniques to tuberculosis drug resistance analysis.
Bioinform., 2019

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes.
IEEE Access, 2019

Cardiovascular disease diagnosis using cross-domain transfer learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Bayesian Optimization of Personalized Models for Patient Vital-Sign Monitoring.
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

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

Visualisation of long-term ECG signals applied to post-intensive care patients.
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
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.
IEEE Trans. Biomed. Eng., 2017

Accidental infrastructure for groundwater monitoring in Africa.
Environ. Model. Softw., 2017

Likelihood-based artefact detection in continuously-acquired patient vital signs.
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
Machine Learning and Decision Support in Critical Care.
Proc. IEEE, 2016

One-class classification of point patterns of extremes.
J. Mach. Learn. Res., 2016

Analysis of Teens' Chronic Stress on Micro-blog.
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

Bayesian Gaussian processes for identifying the deteriorating patient.
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

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis.
IEEE Trans. Biomed. Eng., 2015

Fusing Continuous-valued Medical Labels using a Bayesian Model.
CoRR, 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

Phenotypic characterisation of Crohn's disease severity.
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

Probabilistic Novelty Detection With Support Vector Machines.
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 review of novelty detection.
Signal Process., 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

Detecting Adolescent Psychological Pressures from Micro-Blog.
Proceedings of the Health Information Science - Third International Conference, 2014

Physiological trajectory of patients pre and post ICU discharge<sup>1</sup>.
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

Multi-task Gaussian process models for biomedical applications.
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

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors.
IEEE Trans. Biomed. Eng., 2013

Modelling physiological deterioration in post-operative patient vital-sign data.
Medical Biol. Eng. Comput., 2013

An Extreme Function Theory for Novelty Detection.
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

Probabilistic estimation of respiratory rate using Gaussian processes.
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

Introduction.
Int. J. Neural Syst., 2012

Machine learning and software engineering in health informatics.
Proceedings of the First International Workshop on Realizing AI Synergies in Software Engineering, 2012

Gaussian process regression in vital-sign early warning systems.
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

Probabilistic detection of vital sign abnormality with Gaussian process regression.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011
Novelty Detection with Multivariate Extreme Value Statistics.
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

Novelty Detection for Identifying Deterioration in Emergency Department Patients.
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
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory.
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
Automated Novelty Detection in Industrial Systems.
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

2007
Novelty Detection in Large-Vehicle Turbocharger Operation.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

Combined Support Vector Novelty Detection for Multi-channel Combustion Data.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006
Learning Shape for Jet Engine Novelty Detection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring.
Proceedings of the Advances in Applied Artificial Intelligence, 2006


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