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Dealing with Class Imbalance using Thresholding
In advanced manufacturing units, where the manufacturing process has matured over time, the number of instances (or parts) of the product that need to be rejected (based on a strict regime of quality tests) becomes relatively rare and are defined as outliers.
Causal Discovery for Manufacturing Domains
Specifically, the goal of this work is to learn interpretable causal models from observational data produced by manufacturing lines.
Spectral Clustering with Epidemic Diffusion
Existing methods for spectral clustering use the eigenvalues and eigenvectors of the graph Laplacian, an operator that is closely associated with random walks on graphs.
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