Lei A. Clifton

43 papers A* 1C 1Journal 30Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Democratising Clinical AI through Dataset Condensation for Classical Clinical Models. CoRR Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
2026	J	`jnl`	Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity. IEEE J. Biomed. Health Informatics Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	J	`jnl`	Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting. IEEE Trans. Pattern Anal. Mach. Intell. Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
2025	J	`jnl`	Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation. CoRR Bradley Segal, Joshua Fieggen, David A. Clifton, Lei A. Clifton
2025	J	`jnl`	Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization. CoRR Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei A. Clifton, Fenglin Liu, David A. Clifton
2025	—	`conf`	DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. EMNLP (Findings) Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton
2025	J	`jnl`	Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model. IEEE J. Biomed. Health Informatics Ting Xiang, Yanwei Jin, Zijun Liu, Lei A. Clifton, David A. Clifton, Yiming Zhang, Quan Zhang, Nan Ji, Yuanting Zhang
2025	J	`jnl`	Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates. CoRR Pafue Christy Nganjimi, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton, Anshul Thakur
2025	J	`jnl`	Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Gaurav Nigam, David A. Clifton
2025	J	`jnl`	RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. CoRR Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2025	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. ACM Trans. Comput. Heal. Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2025	J	`jnl`	Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals. CoRR Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton
2024	—	`conf`	Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare? ML4H@NeurIPS Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter J. Watkinson, Lei A. Clifton, Tingting Zhu, David A. Clifton
2024	J	`jnl`	AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Trans. Pattern Anal. Mach. Intell. Yanting Shen, Lei Lu, Tingting Zhu, Xinshao Wang, Lei A. Clifton, Zhengming Chen, Robert Clarke, David A. Clifton
2024	J	`jnl`	Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection. CoRR Rushuang Zhou, Zijun Liu, Lei A. Clifton, David A. Clifton, Kannie W. Y. Chan, Yuan-Ting Zhang, Yining Dong
2024	J	`jnl`	Exploring the effectiveness of instruction tuning in biomedical language processing. Artif. Intell. Medicine Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, David A. Clifton
2024	A*	`conf`	Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 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
2024	J	`jnl`	Large Language Models in Healthcare: A Comprehensive Benchmark. CoRR Andrew Liu, Hongjian Zhou, Yining Hua, Omid Rohanian, Lei A. Clifton, David A. Clifton
2024	J	`jnl`	Lightweight transformers for clinical natural language processing. Nat. Lang. Eng. Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei A. Clifton, Laura Merson, David A. Clifton
2024	J	`jnl`	Sample Selection Bias in Machine Learning for Healthcare. CoRR Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
2023	J	`jnl`	A medical multimodal large language model for future pandemics. npj Digit. Medicine 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
2023	J	`jnl`	At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study. CoRR 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
2023	J	`jnl`	Lightweight Transformers for Clinical Natural Language Processing. CoRR Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton
2017	—	`conf`	Likelihood-based artefact detection in continuously-acquired patient vital signs. EMBC Glen Wright Colopy, Tingting Zhu, Lei A. Clifton, Stephen J. Roberts, David A. Clifton
2015	J	`jnl`	Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis. IEEE Trans. Biomed. Eng. Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton
2014	J	`jnl`	A review of novelty detection. Signal Process. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2014	J	`jnl`	Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko
2014	—	`conf`	Multi-task Gaussian process models for biomedical applications. BHI Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton
2014	J	`jnl`	Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2014	J	`jnl`	Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin
2013	J	`jnl`	A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
2013	J	`jnl`	An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko
2013	J	`jnl`	Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2013	J	`jnl`	Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2013	—	`conf`	Probabilistic estimation of respiratory rate using Gaussian processes. EMBC Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2012	J	`jnl`	A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2012	—	`conf`	Gaussian process regression in vital-sign early warning systems. EMBC Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
2012	—	`conf`	Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	C	`conf`	Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko
2011	—	`conf`	Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
2008	—	`ch.`	Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems David A. Clifton, Lei A. Clifton, Peter R. Bannister, Lionel Tarassenko
2007	—	`conf`	Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC Lei A. Clifton, Hujun Yin, David A. Clifton, Yang Zhang
2006	—	`conf`	Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. ISNN (2) Lei A. Clifton, Hujun Yin, Yang Zhang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.