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Patterns (New York, N.Y.)|May 14, 2026
Data-driven deformation correction in X-ray spectro-tomography with implicit neural networksTing Wang, Zipei Yan, Hongyi Pan, et al.Patterns (New York, N.Y.)|May 14, 2026
Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific dataEduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar, et al.Patterns (New York, N.Y.)|November 25, 2021
Predicting energy and stability of known and hypothetical crystals using graph neural networkShubham Pandey, Jiaxing Qu, Vladan Stevanović, et al.Patterns (New York, N.Y.)|July 31, 2023
Connectome-based machine learning models are vulnerable to subtle data manipulationsMatthew Rosenblatt, Raimundo X Rodriguez, Margaret L Westwater, et al.Patterns (New York, N.Y.)|July 31, 2023
Understanding common human driving semantics for autonomous vehiclesYingji Xia, Maosi Geng, Yong Chen, et al.Patterns (New York, N.Y.)|July 31, 2023
On the transparency of large AI modelsWanying Wang, Ge Wang, Vukosi Marivate, et al.Patterns (New York, N.Y.)|July 31, 2023
Perspectives on incorporating expert feedback into model updatesValerie Chen, Umang Bhatt, Hoda Heidari, et al.Patterns (New York, N.Y.)|June 12, 2023
Evaluating vaccine allocation strategies using simulation-assisted causal modelingArmin Kekić, Jonas Dehning, Luigi Gresele, et al.Patterns (New York, N.Y.)|July 15, 2026
From matching to facilitation: Reframing AI's role in clinical trial enrollmentAdar Yaacov, Einat Levi, Nir PeledPatterns (New York, N.Y.)|July 15, 2026
Multimodal spatial omics: From data acquisition to computational integrationEsra Busra Isik, Yusuf Hakan Usta, Maryam Riazi, et al.Pageof 93