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Lei A. Clifton
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2020 – today
- 2024
- [j14]Omid Rohanian
, Mohammadmahdi Nouriborji, Samaneh Kouchaki
Exploring the effectiveness of instruction tuning in biomedical language processing. Artif. Intell. Medicine 158: 103007 (2024) - [j13]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) - [j12]Yanting Shen
AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6542-6558 (2024) - [c10]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 - [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
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024) - [i3]Rushuang Zhou
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. CoRR abs/2406.14377 (2024) - 2023
- [j11]Fenglin Liu
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
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
Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. IEEE Trans. Biomed. Eng. 62(1): 314-322 (2015) - 2014
- [j9]Marco A. F. Pimentel
A review of novelty detection. Signal Process. 99: 215-249 (2014) - [j8]Lei A. Clifton
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
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [j6]David A. Clifton, Lei A. Clifton
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
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
Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. 51(8): 869-877 (2013) - [j3]Lei A. Clifton
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
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
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
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
Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems 2008: 269-296 - 2007
- [c2]Lei A. Clifton, Hujun Yin
Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC 2007: 495-500 - 2006
- [c1]Lei A. Clifton, Hujun Yin
Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. ISNN (2) 2006: 836-843
Coauthor Index
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