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Patterns (New York, N.Y.)|August 21, 2023
Providing AI expertise as an infrastructure in academiaMarie Piraud, Andrés Camero, Markus Götz, et al.Patterns (New York, N.Y.)|April 25, 2022
How transparency modulates trust in artificial intelligenceJohn Zerilli, Umang Bhatt, Adrian WellerPatterns (New York, N.Y.)|July 15, 2026
MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing dataLouis Bellmann, Maximilian Nielsen, Philipp BreitfeldPatterns (New York, N.Y.)|July 15, 2026
Automating region selection with genetic algorithms for energy landscape analyses of brain dynamicsKoichiro Mori, Tomoyuki Hiroyasu, Satoru HiwaPatterns (New York, N.Y.)|August 22, 2026
Brain-AI convergence: Generative world models and hierarchical attention for human intelligenceShogo Ohmae, Keiko OhmaePatterns (New York, N.Y.)|August 22, 2026
Deep learning enabled prediction of nuclear lamina-associated chromatinPriyojit Das, Jeannie T LeePatterns (New York, N.Y.)|August 22, 2026
Revealing hidden material composition via physics-induced deep learning for precision clinical diagnosisMengyang Liu, Jiachen Liu, Qingyang Liu, et al.Patterns (New York, N.Y.)|August 22, 2026
From data to value in multimodal learningChunlei Tang, Xing Jia, Yun XiongPatterns (New York, N.Y.)|August 22, 2026
Density-based longitudinal neuron tracking in high-density electrophysiological recordingsYue Huang, Hanbo Wang, Jiaming Cao, et al.Patterns (New York, N.Y.)|November 25, 2021
Data and its (dis)contents: A survey of dataset development and use in machine learning researchAmandalynne Paullada, Inioluwa Deborah Raji, Emily M Bender, et al.Pageof 92