Recently, increased computational power and data availability, as well as algorithmic
advances, have led machine learning (ML) techniques to impressive results in regression …

The hypervolume indicator is one of the most used set-quality indicators for the assessment
of stochastic multiobjective optimizers, as well as for selection in evolutionary multiobjective …

In many medical imaging and classical computer vision tasks, the Dice score and Jaccard
index are used to evaluate the segmentation performance. Despite the existence and great …

The Jaccard index, also referred to as the intersection-over-union score, is commonly
employed in the evaluation of image segmentation results given its perceptual qualities …

Questions of 'how best to acquire data'are essential to modelling and prediction in the
natural and social sciences, engineering applications, and beyond. Optimal experimental …

The goal of this paper is to establish the fundamental tools to analyze signals defined over a
topological space, ie a set of points along with a set of neighborhood relations. This setup …

Set functions are map**s that assign to subsets of a universal set a real number and
appear in many fields of mathematics (pure and applied) and computer sciences …

We provide stronger and more general primal-dual convergence results for Frank-Wolfe-
type algorithms (aka conditional gradient) for constrained convex optimization, enabled by a …

As an emerging decentralized secure data management platform, blockchain has gained
much popularity recently. To maintain a canonical state of blockchain data record, proof-of …

This paper studies a distributionally robust chance constrained program (DRCCP) with
Wasserstein ambiguity set, where the uncertain constraints should be satisfied with a …