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Curran, Kathleen M.

  1. FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
    2023/01/17 by Niamh Belton, Misgina Tsighe Hagos, Belton, Niamh +5 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Unlearning Spurious Correlations in Chest X-ray Classification
    2023/08/02 by Misgina Tsighe Hagos, Kathleen M. Curran, Hagos, Misgina Tsighe +3 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
  3. Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
    2022/11/15 by Misgina Tsighe Hagos, Kathleen M. Curran, Hagos, Misgina Tsighe +3 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification
  4. Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
    2022/09/20 by Carles Garcia-Cabrera, Garcia-Cabrera, Carles, Eric Arazo +7 · 1 citation
    Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  5. Distance-Aware eXplanation Based Learning
    2023/09/11 by Misgina Tsighe Hagos, Hagos, Misgina Tsighe, Niamh Belton +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications