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Patterns (New York, N.Y.)|November 23, 2021
Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learningJonathan J Park, Sidi ChenPatterns (New York, N.Y.)|November 25, 2021
Chemical composition: Hearing insect defensive volatilesJean-Luc Boevé, Rudi GiotPatterns (New York, N.Y.)|November 25, 2021
The hidden dimension of open science: "Peopleware"Claudia Bauzer MedeirosPatterns (New York, N.Y.)|March 4, 2021
A comprehensive survey on smart contract construction and execution: paradigms, tools, and systemsBin Hu, Zongyang Zhang, Jianwei Liu, et al.Patterns (New York, N.Y.)|March 4, 2021
Machine learning for guiding high-temperature PEM fuel cells with greater power densityLuis A Briceno-Mena, Gokul Venugopalan, José A Romagnoli, et al.Patterns (New York, N.Y.)|March 4, 2021
Decontextualized learning for interpretable hierarchical representations of visual patternsRobert Ian Etheredge, Manfred Schartl, Alex JordanPatterns (New York, N.Y.)|December 24, 2021
New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapyEvan Greene, Greg Finak, Leonard A D'Amico, et al.Patterns (New York, N.Y.)|December 24, 2021
Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agricultureArthur Gwagwa, Emre Kazim, Patti Kachidza, et al.Patterns (New York, N.Y.)|December 24, 2021
Labels in a haystack: Approaches beyond supervised learning in biomedical applicationsArtur Yakimovich, Anaël Beaugnon, Yi Huang, et al.Patterns (New York, N.Y.)|December 24, 2021
How to be responsible in all the steps of a data science pipeline: The case of the Italian public sectorMonica Scannapieco, Antonino VirgillitoPageof 93