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Patterns (New York, N.Y.)|April 22, 2024
An evaluation of synthetic data augmentation for mitigating covariate bias in health dataLamin Juwara, Alaa El-Hussuna, Khaled El EmamPatterns (New York, N.Y.)|July 18, 2022
Navigating an early career in genomics and data science, written from the perspective of a current PhD studentRebecca ToozePatterns (New York, N.Y.)|July 18, 2022
A generic battery-cycling optimization framework with learned sampling and early stopping strategiesChangyu Deng, Andrew Kim, Wei LuPatterns (New York, N.Y.)|July 18, 2022
DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disordersIlayda Beyreli, Oguzhan Karakahya, A Ercument CicekPatterns (New York, N.Y.)|July 18, 2022
Deciphering the language of antibodies using self-supervised learningJinwoo Leem, Laura S Mitchell, James H R Farmery, et al.Patterns (New York, N.Y.)|April 4, 2025
Navigating COP16's digital sequence information outcomes: What researchers need to do in practiceMelania Muñoz-García, , Amber Hartman ScholzPatterns (New York, N.Y.)|April 4, 2025
Why dignity is a troubling concept for AI ethicsJon Rueda, Txetxu Ausín, Mark Coeckelbergh, et al.Patterns (New York, N.Y.)|April 23, 2025
Unraveling overoptimism and publication bias in ML-driven sciencePouria Saidi, Gautam Dasarathy, Visar BerishaPatterns (New York, N.Y.)|June 9, 2025
Harnessing explainable AI to adaptively design catalysts for lithium-sulfur batteriesXinyan Liu, Hong-Jie PengPatterns (New York, N.Y.)|June 9, 2025
Fine-Pruning: A biologically inspired algorithm for personalization of machine learning modelsJoseph Bingham, Saman Zonouz, Dvir AranPageof 91