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Jul 30, 2023 · In this article we present our job on the classification of diffraction pattern by weakly supervised algorithms, with the aim of reducing as ...
Sep 19, 2023 · Our result shows that weakly supervised methods can significantly reduce the need for the number of labeled patterns while achieving comparable ...
In this article we present our job on the classification of diffraction pattern by weakly supervised algorithms, with the aim of reducing as much as possible ...
Jul 30, 2023 · Weakly supervised learning for pattern classification in serial femtosecond crystallography · no code implementations • 30 Jul 2023 • Jianan ...
Jul 30, 2023 · Weakly supervised learning for pattern classification in serial femtosecond crystallography · no code implementations • 30 Jul 2023 • Jianan ...
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Explainable machine learning for diffraction patterns - PMC - NCBI
www.ncbi.nlm.nih.gov › PMC10543671
Sep 20, 2023 · This article describes a qualitative study to unpack the internal workings of convolutional neural networks with the aim of visualizing information.
Weakly supervised learning for pattern classification in serial femtosecond crystallography. Article. Full-text available. Sep 2023; OPT EXPRESS. Jianan Xie ...
Weakly supervised learning for pattern classification in serial femtosecond crystallography. Preprint. Full-text available. Jul 2023. Jianan Xie · Ji Liu · Chi ...
In this work, we have investigated the practicability of using handcrafted feature extraction methods with a novel pipeline for diffraction patterns obtained in ...
Weakly supervised learning for pattern classification in serial femtosecond crystallography. Jianan Xie, Ji Liu, Chi Zhang, Xihui Chen, Ping Huai, Jie Zheng ...