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David A. Clifton

  1. Multimodal Learning with Transformers: A Survey
    2022/06/13 by Peng Xu, Xu, Peng, Xiatian Zhu +3 · 60 citations
    Computer Science · #Neural Networks and Applications #Rough Sets and Fuzzy Logic #Image Retrieval and Classification Techniques
  2. CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
    2020/05/27 by Kiyasseh, Dani, Zhu, Tingting, Clifton, David A. +3 · 17 citations
    Computer Science · Medicine · #ECG Monitoring and Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Phonocardiography and Auscultation Techniques #Signal Processing (eess.SP) #electronic engineering #information engineering
  3. The correlation between baseline score and post-intervention score, and its implications for statistical analysis
    2019/01/11 by Lei Clifton, David A. Clifton · 1 voice · 6 citations
    Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials
  4. RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model
    2023/09/02 by Fengxiang Bie, Yibo Yang, Bie, Fengxiang +23 · 14 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Video Analysis and Summarization
  5. Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
    2023/02/03 by Chenyu You, You, Chenyu, Weicheng Dai +13 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  6. SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
    2024/07/05 by Xingrun Xing, Xing, Xingrun, Boyan Gao +13 · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  7. Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
    2022/11/21 by Peng Jin, Jin, Peng, Jinfa Huang +13 · 4 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Multimodal Machine Learning Applications #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning
  8. CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
    2024/07/31 by Shreyank N Gowda, David A. Clifton, Gowda, Shreyank N +1 · 7 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
  9. Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge
    2021/06/02 by Ziyun Li, Li, Ziyun, Xinshao Wang +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  10. Large Language Models in the Clinic: A Comprehensive Benchmark
    2024/04/25 by Liu, Fenglin, Hongjian Zhou, Li, Zheng +21 · 3 citations
    Health Professions · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
    2023/06/18 by Rushuang Zhou, Lei Lu, Zhou, Rushuang +13 · 3 citations
    Medicine · #Artificial Intelligence (cs.AI) #ECG Monitoring and Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
  12. IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters
    2019/03/28 by Xinshao Wang, Wang, Xinshao, Hua Yang +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  13. Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
    2023/05/25 by Vinod Kumar Chauhan, Jian Zhou, Chauhan, Vinod Kumar +7 · 2 citations
    Computer Science · Mathematics · Medicine · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Heart Failure Treatment and Management #Machine Learning (cs.LG) #Machine Learning in Healthcare #Methodology (stat.ME)
  14. On the Effectiveness of Compact Biomedical Transformers
    2022/09/07 by Omid Rohanian, Rohanian, Omid, Mohammadmahdi Nouriborji +5 · 1 citation
    Computer Science · Medicine · #68T50 #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #Topic Modeling
  15. Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks
    2024/08/21 by Yining Hua, Hua, Yining, Hongbin Na +11 · 1 citation
    Psychology · #Mental Health via Writing
  16. Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention
    2023/05/05 by Anshul Thakur, Tingting Zhu, Thakur, Anshul +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  17. LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
    2025/05/21 by Ruilin Yao, Yao, Ruilin, Zhang, Bo +38 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  18. Cognition Chain for Explainable Psychological Stress Detection on Social Media
    2024/12/18 by Xin Wang, Wang, Xin, Boyan Gao +11 · 1 citation
    Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Mental Health via Writing
  19. Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs
    2025/09/17 by Edward Phillips, Sean L. Wu, Phillips, Edward +9 · 3 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Machine Learning in Healthcare
  20. MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
    2025/05/03 by Xin Wang, Ling Feng, Wang, Xin +15 · 1 citation
    Psychology · #Artificial Intelligence (cs.AI) #Digital Mental Health Interventions #Emotion and Mood Recognition #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing