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2. MLP neural network trained on the QCL [-5, +20] Å dataset
3. Data from "Homogeneous ice nucleation in an ab initio machine learning model"
4. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations
5. The Attention Schema Theory in an Artificial Neural Network Agent: Controlling Visuospatial Attention Using a Descriptive Model of Attention
6. Data from "Signatures of a liquid-liquid transition in an ab initio deep neural network model for water"
7. Fluorescence Reconstruction Microscopy: Complete Testing Dataset
8. Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)
9. Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)
10. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
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