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cs.LG2024
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez +1
An ordinal classification problem is one in which the target variable takes values on an ordinal scale. Nowadays, there are many of these problems associated with real-world tasks…
cs.LG2024
dlordinal: a Python package for deep ordinal classification
Francisco Bérchez-Moreno, Víctor M. Vargas, Rafael Ayllón-Gavilán +4
dlordinal is a new Python library that unifies many recent deep ordinal classification methodologies available in the literature. Developed using PyTorch as underlying framework, i…