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 …

The integration of artificial intelligence (AI) and augmented realities into the medical field is
being attempted by various researchers across the globe. As a matter of fact, most of the …

Head pose estimation has attracted immense research interest recently, as its inherent
information significantly improves the performance of face-related applications such as face …

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and
management of liver cancer. Recent advancements showcase AI's ability to analyse medical …

Transplant-organs are a scarce medical resource. The uniqueness of each organ and the
patients' heterogeneous responses to the organs present a unique and challenging …

Individualized health-care is gaining traction recently due to the advances in sensor
technology, edge computing and the improvement in communication technologies. In this …

The classification of patterns into naturally ordered labels is referred to as ordinal regression
or ordinal classification. Usually, this classification setting is by nature highly imbalanced …

Ordinal problems are those where the label to be predicted from the input data is selected
from a group of categories which are naturally ordered. The underlying order is determined …

Image ordinal estimation is to predict the ordinal label of a given image, which can be
categorized as an ordinal regression (OR) problem. Recent methods formulate an OR …

Donor-Recipient (DR) matching is one of the main challenges to be fulfilled nowadays. Due
to the increasing number of recipients and the small amount of donors in liver …