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Ordinal regression methods: survey and experimental study
(2017-02-03)
Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a
categorical scale which shows a natural order between the labels. Many real-world applications ...
Exploitation of Pairwise Class Distances for Ordinal Classification
(2013-07-15)
Ordinal classification refers to classification problems in which the classes have a natural
order imposed on them because of the nature of the concept studied. Some ordinal
classification approaches perform a projection ...
An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients
(Elsevier, 2021)
3D image scans are an assessment tool for neurological damage in Parkinson’s disease (PD) patients. This diagnosis process can be automatized to help medical staff through Decision Support Systems (DSSs), and Convolutional ...
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
(Springer, 2022)
Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ...
A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27
(2017-01-20)
Sovereign rating has had an increasing importance since the beginning of the
nancial crisis. However, credit rating agencies opacity has been criticised by
several authors highlighting the suitability of designing more ...