Michael C. Hughes

1. Right for the Right Reasons: Training Differentiable Models by\n Constraining their Explanations
   2017/03/10 by Andrew Slavin Ross, Michael C. Hughes, Ross, Andrew Slavin +4 · 1 voice · 30 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
2. Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
   2019/08/02 by Bret Nestor, Nestor, Bret, Matthew B. A. McDermott +13 · 7 citations
   Computer Science · Health Professions · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare #Time Series Analysis and Forecasting
3. Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
   2017/11/16 by Mike Wu, Wu, Mike, Michael C. Hughes +9 · 6 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
4. Automated Detection of Aortic Stenosis Using Machine Learning
   2023/01/11 by Benjamin S. Wessler, Zhe Huang, Gary M. Long +15 · 4 citations
   Medicine · #Aortic Disease and Treatment Approaches #Cardiac Valve Diseases and Treatments #Congenital Heart Disease Studies
5. Systematic comparison of semi-supervised and self-supervised learning for medical image classification
   2023/07/18 by Zhe Huang, Ruijie Jiang, Huang, Zhe +5 · 3 citations
   Neuroscience · #Brain Tumor Detection and Classification
6. A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
   2021/07/30 by Zhe Huang, Huang, Zhe, Gary L. Long +5 · 2 citations
   Engineering · Health Professions · #Advanced X-ray and CT Imaging #Artificial Intelligence in Healthcare #Computer Vision and Pattern Recognition (cs.CV) #Energy Load and Power Forecasting #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
   2022/08/25 by Zhe Huang, Mary-Joy Sidhom, Huang, Zhe +5 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
8. NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
   2022/06/23 by Patrick Feeney, Feeney, Patrick, Sarah Schneider +9 · 1 citation
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Prediction-Constrained Training for Semi-Supervised Mixture and Topic\n Models
   2017/07/23 by Michael C. Hughes, Hughes, Michael C., Leah Weiner +11 · 1 citation
   Computer Science · Social Sciences · #Topic Modeling #Machine Learning in Healthcare #Computational and Text Analysis Methods