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1. Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction

2. Deep Learning-Enabled Semantic Inference of Individual Building Damage Magnitude from Satellite Images

3. Use and Misuse of Machine Learning Variable Importance Metrics in Medicine: Demonstrations through Incident Stroke Prediction

4. Machine learning classification of false-positive human immunodeficiency virus screening results

5. Pediatric decision limits for serologic screening of Lyme disease

6. Variable Performance in 6 Commercial SARS-CoV-2 Antibody Assays May Affect Convalescent Plasma and Seroprevalence Screening

7. Personalized accessible wayfinding for people with disabilities through standards and open geospatial platforms in smart cities

8. Multiplex assessment of SARS-CoV-2 antibodies improves assay sensitivity and correlation with neutralizing antibodies

9. A semantically driven self-supervised algorithm for detecting anomalies in image sets

10. Deep Learning-Enabled Semantic Inference of Individual Building Damage Magnitude from Satellite Images

11. New Syphilis Serology Testing Requires New Reporting Algorithms

12. Machine Learning Classification of False-Positive Human Immunodeficiency Virus Screening Results

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