The use of composite indicators for the evaluation of sustainable tourism is an option widely
used in the literature. Among the works proposed, two major contrasting approaches can be …

Urban areas are hubs of economic activity, but also consumption centers where a high
quality of life may attract human capital and increase prospects of economic growth and well …

The ranking aggregation problem is gaining attention in different application fields due to its
connection with decision making. One of the most famous ranking aggregation methods can …

Despite human well-being serving as a crucial indicator for measuring social development
and progress, the measurement of well-being faces great challenges. This study constructs …

Species life-history traits, paleoenvironment, and biotic interactions likely influence
speciation and extinction rates, affecting species richness over time. Birth-death models …

Decision tree learning is among the most popular and most traditional families of machine
learning algorithms. While these techniques excel in being quite intuitive and interpretable …

Abstract The Optimal Bucket Order Problem (OBOP) is a rank aggregation problem which
consists in finding a consensus ranking (with ties) that generalizes a set of input rankings. In …

The problem of students' motivation to learn an ever-increasing amount of knowledge
(especially in the field of information and communication technologies) is more relevant than …

Abstract Knowledge discovery from various sources of information based on different data
types for decision and accurate prediction can be rather complex and costly without a …

We evaluate deconvolution methods, which infer levels of immune infiltration from bulk
expression of tumor samples, through a community-wide DREAM Challenge. We assess six …