Abstract Machine learning models always make a prediction, even when it is likely to be
inaccurate. This behavior should be avoided in many decision support applications, where …

A novel ordinal regression algorithm, called moving window regression (MWR), is proposed
in this paper. First, we propose the notion of relative rank (rho-rank), which is a new order …

Importance Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element
in determining therapeutic response, but its use in clinical practice is limited by the …

Ordinal regression attempts to solve classification problems in which categories are not
independent, but rather follow a natural order. It is crucial to classify each class correctly …

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 …

Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression
problems. However, until now there were no effective algorithms proposed to address …

Rules–the clearest, most explored and best understood form of knowledge representation–
are particularly important for data mining, as they offer the best tradeoff between human and …

Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …

A number of studies have recently been published reporting researchers' efforts to create
new, more efficient recommender systems to support tourists' decision making. This current …

Ordinal regression has wide applications in many domains where the human evaluation
plays a major role. Most current ordinal regression methods are based on Support Vector …