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Patterns (New York, N.Y.)|February 24, 2022
Ranks underlie outcome of combining classifiers: Quantitative roles for diversity and accuracyMatthew J Sniatynski, John A Shepherd, Thomas Ernst, et al.Patterns (New York, N.Y.)|February 24, 2022
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditabilityMona Sloane, Emanuel Moss, Rumman ChowdhuryPatterns (New York, N.Y.)|February 7, 2022
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19Zhi Wen, Guido Powell, Imane Chafi, et al.Patterns (New York, N.Y.)|March 14, 2022
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemicCaspar J Van Lissa, Wolfgang Stroebe, Michelle R vanDellen, et al.Patterns (New York, N.Y.)|August 11, 2020
Cross-Modal Data Programming Enables Rapid Medical Machine LearningJared A Dunnmon, Alexander J Ratner, Khaled Saab, et al.Patterns (New York, N.Y.)|May 1, 2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervisionSam Preston, Mu Wei, Rajesh Rao, et al.Patterns (New York, N.Y.)|August 25, 2020
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death DataInioluwa Deborah RajiPatterns (New York, N.Y.)|August 25, 2020
Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal MappingArni S R Srinivasa Rao, Steven G KrantzPatterns (New York, N.Y.)|August 25, 2020
A Tale of Two Cities: Reflections on Digital Technology and the Natural EnvironmentGordon S BlairPageof 92