30 citations · 30 across the 4 of their papers we have counts for
5 papers
From Kellgren-Lawrence to Calcium Pyrophosphate Crystal Deposition: A Soft-Labelling Framework for Knee Osteoarthritis Assessmen
Francisco Bérchez-Moreno, Riccardo Rosati, Maria Chiara Fiorentino +6
Background and objective. Conventional Deep Learning (DL) approaches for Knee Osteoarthritis (KOA) grading rely on one-hot labels, which fail to capture both the ordinal uncertaint…
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana +3
An ordinal classification (OC) problem corresponds to a special type of classification characterised by the presence of a natural order relationship among the classes. This type of…
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez +3
Predictive Maintenance (PdM) methods aim to facilitate the scheduling of maintenance work before equipment failure. In this context, detecting early faults in automated teller mach…
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
Javier Barbero-Gómez, Pedro-Antonio Gutiérrez, Víctor-Manuel Vargas +2
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…
Cumulative link models for deep ordinal classification
Víctor-Manuel Vargas, Pedro-Antonio Gutiérrez, César Hervás-Martínez
This paper proposes a deep convolutional neural network model for ordinal regression by considering a family of probabilistic ordinal link functions in the output layer. The link f…