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Found 2 papers, 2 papers with code
Multi-modal Differentiable Unsupervised Feature Selection
Multi-modal high throughput biological data presents a great scientific opportunity and a significant computational challenge.
Locally Sparse Neural Networks for Tabular Biomedical Data
By forcing the model to select a subset of the most informative features for each sample, we reduce model overfitting in low-sample-size data and obtain an interpretable model.
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