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Lei A. Clifton
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2020 – today
- 2024
- [i5]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) - [i4]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 abs/2405.07841 (2024) - [i3]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) - 2023
- [j11]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) - [i2]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) - [i1]Munib Mesinovic, Xin Ci Wong, Giri Shan Rajahram, Barbara Wanjiru Citarella, Kalaiarasu M. Peariasamy, Frank van Someren Greve, Piero Olliaro, Laura Merson, Lei A. Clifton, Christiana Kartsonaki:
At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study. CoRR abs/2305.11199 (2023)
2010 – 2019
- 2017
- [c9]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 - 2015
- [j10]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) - 2014
- [j9]Marco A. F. Pimentel
, David A. Clifton, Lei A. Clifton
, Lionel Tarassenko:
A review of novelty detection. Signal Process. 99: 215-249 (2014) - [j8]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) - [j7]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) - [j6]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) - [c8]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 - 2013
- [j5]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) - [j4]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) - [j3]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) - [j2]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) - [c7]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Probabilistic estimation of respiratory rate using Gaussian processes. EMBC 2013: 2902-2905 - 2012
- [j1]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) - [c6]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 - [c5]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 - 2011
- [c4]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 - [c3]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
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
- [c2]Lei A. Clifton, Hujun Yin
, David A. Clifton, Yang Zhang:
Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC 2007: 495-500 - 2006
- [c1]Lei A. Clifton, Hujun Yin
, Yang Zhang:
Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. ISNN (2) 2006: 836-843
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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