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Patterns (New York, N.Y.)|April 22, 2024
Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world drivingXinmei Yuan, Jiangbiao He, Yutong Li, et al.Patterns (New York, N.Y.)|September 18, 2023
B-factor prediction in proteins using a sequence-based deep learning modelAkash Pandey, Elaine Liu, Jacob Graham, et al.Patterns (New York, N.Y.)|September 18, 2023
Erratum: Upper limit of the transition temperature of superconducting materialsYang Liu, Haiyou Huang, Jie Yuan, et al.Patterns (New York, N.Y.)|September 18, 2023
Stable clinical risk prediction against distribution shift in electronic health recordsSeungyeon Lee, Changchang Yin, Ping ZhangPatterns (New York, N.Y.)|November 21, 2024
Toward a tipping point in federated learning in healthcare and life sciencesInken Hagestedt, Ian Hales, Eric Boernert, et al.Patterns (New York, N.Y.)|November 21, 2024
DataDesc: A framework for creating and sharing technical metadata for research software interfacesPatrick Kuckertz, Jan Göpfert, Oliver Karras, et al.Patterns (New York, N.Y.)|November 21, 2024
Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modulesHendrik A de Weerd, Dimitri Guala, Mika Gustafsson, et al.Patterns (New York, N.Y.)|November 21, 2024
FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcareMingxuan Liu, Yilin Ning, Yuhe Ke, et al.Patterns (New York, N.Y.)|November 21, 2024
A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infectionQiong Wu, Nathan M Pajor, Yiwen Lu, et al.Patterns (New York, N.Y.)|May 14, 2026
Pitfalls and risks of generative AI in machine learningMichael A LonesPageof 92