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Patterns (New York, N.Y.)|December 9, 2020
Extensions of the External Validation for Checking Learned Model Interpretability and GeneralizabilitySung Yang Ho, Kimberly Phua, Limsoon Wong, et al.Patterns (New York, N.Y.)|December 9, 2020
Erratum: Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E Tschuchnig, Gertie J Oostingh, Michael GadermayrPatterns (New York, N.Y.)|December 9, 2020
Facets of AGI: Where Science Meets SpiritualityGauthier Vernier, Hugo Caselles-Dupré, Pierre FautrelPatterns (New York, N.Y.)|June 28, 2021
Quantum processor-inspired machine learning in the biomedical sciencesRichard Y Li, Sharvari Gujja, Sweta R Bajaj, et al.Patterns (New York, N.Y.)|June 28, 2021
Building a best-in-class automated de-identification tool for electronic health records through ensemble learningKarthik Murugadoss, Ajit Rajasekharan, Bradley Malin, et al.Patterns (New York, N.Y.)|June 28, 2021
Modeling in systems biology: Causal understanding before prediction?Szilvia Barsi, Bence SzalaiPatterns (New York, N.Y.)|June 28, 2021
Shattering cancer with quantum machine learning: A previewJoseph GeraciPatterns (New York, N.Y.)|June 28, 2021
Using collective curation to pay data forward in the life cycleIxchel M FanielPatterns (New York, N.Y.)|May 24, 2022
BlockNet: Beyond reliable spatial Digital Twins to Parallel MetaverseZhihan Lv, Liang Qiao, Yuxi Li, et al.Patterns (New York, N.Y.)|May 24, 2022
Scalable deeper graph neural networks for high-performance materials property predictionSadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, et al.Pageof 92