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Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy
Scanning probe microscopists generally do not rely on complete images to assess the quality of data acquired during a scan.
Scanning Probe State Recognition With Multi-Class Neural Network Ensembles
By combining the best performing models into majority voting ensembles, we find that the desirable states of H:Si(100) can be distinguished with a mean precision of 0. 89 and an average receiver-operator-characteristic curve area of 0. 95.
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