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Patterns (New York, N.Y.)|August 21, 2023
Toward human-level concept learning: Pattern benchmarking for AI algorithmsAndreas Holzinger, Anna Saranti, Alessa Angerschmid, et al.Patterns (New York, N.Y.)|July 31, 2023
GPT detectors are biased against non-native English writersWeixin Liang, Mert Yuksekgonul, Yining Mao, et al.Patterns (New York, N.Y.)|July 31, 2023
Occupational models from 42 million unstructured job postingsNile Dixon, Marcelle Goggins, Ethan Ho, et al.Patterns (New York, N.Y.)|July 31, 2023
Meet the authors: Daisuke Komura and Shumpei IshikawaDaisuke Komura, Shumpei IshikawaPatterns (New York, N.Y.)|October 25, 2023
Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensemblesPhillip Navarro, Karim OweissPatterns (New York, N.Y.)|October 25, 2023
Building less-flawed metrics: Understanding and creating better measurement and incentive systemsDavid ManheimPatterns (New York, N.Y.)|October 25, 2023
EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysisMin Gao, Zheng Li, Ruichen Li, et al.Patterns (New York, N.Y.)|July 6, 2023
Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancerJungHo Kong, Jinho Kim, Donghyo Kim, et al.Patterns (New York, N.Y.)|November 23, 2020
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 SpreadRaj Dandekar, Chris Rackauckas, George BarbastathisPatterns (New York, N.Y.)|November 18, 2020
How to Tell When a Digital Technology Is Not Ready for YouJon CrowcroftPageof 92