Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...