Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...
Abstract: In ordinal classification, misclassifying neighboring ranks is common, yet the consequences of these errors are not the same. For example, misclassifying ...
This module contains the Python code (version 1.0) of the manuscript: Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components (DOI coming soon). It implements ...
DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
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