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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.)|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.)|April 20, 2026
Intentional policy graphs: A pipeline for explaining agent behavior through intentionsVictor Gimenez-Abalos, Sergio Alvarez-Napagao, Adrian Tormos, et al.
Patterns (New York, N.Y.)|April 24, 2026
Mapping the flow of painterly gestureLizhen Zhu, Chaewan Chun, Kathryn Brown, et al.
Patterns (New York, N.Y.)|April 24, 2026
Hierarchical fusion of electrocardiogram and phonocardiogram data improves heart failure detectionFei Ma, Haobo Zhang, Siyi Fang, et al.
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