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Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift
Arxiv
0+阅读 · 8月31日
Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study
Arxiv
0+阅读 · 8月31日
Estimating Heterogeneity in Travel Mode Choice Shifts with Causal Forests
Arxiv
0+阅读 · 8月4日
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Arxiv
0+阅读 · 7月31日
Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data
Arxiv
0+阅读 · 7月29日
Cross-Country Learning for National Infectious Disease Forecasting Using European Data
Arxiv
0+阅读 · 8月4日
Statistical Learning of Pediatric Mental Health-Related Emergency Department Visits Across COVID-19 Pandemic Periods
Arxiv
0+阅读 · 7月28日
ALL-IN meta-analysis for flexibility and validity in prospective and retrospective evidence synthesis
Arxiv
0+阅读 · 8月3日
Amplitude-Phase Analysis of the COVID-19 Point Process and the Early Countermeasures
Arxiv
0+阅读 · 8月10日
A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing
Arxiv
0+阅读 · 3月27日
Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data
Arxiv
0+阅读 · 7月22日
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
Arxiv
0+阅读 · 7月20日
Leveraging Social Media Data for COVID-19 Studies
Arxiv
0+阅读 · 6月23日
Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators
Arxiv
0+阅读 · 6月18日
Development of COVID-19 Booster Vaccine Policy by Microsimulation and Q-learning
Arxiv
0+阅读 · 6月8日
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