Collaboration, Not Donations, Key to Social Innovation in ESG Era Strategic partnerships combine corporate resources, NGO ...

Some analysts have been quick to draw comparisons with Japan's housing bubble that burst in 1991. But such arguments are ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...

Abstract: The influence maximization (IM) problem is currently a rising research hotspot in the complex network field. Nodes with the best information dissemination effect are expected to be selected.

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

Abstract: The influence maximization (IM) problem aims to identify a set of seeds with the maximal influential ability within the network, where numerous applications can be detected such as market ...

Social Networks have been in continuous growing during the last decades. The huge amount of information and applications has led to an increase in the interest of scientists and practitioners in the ...

ABSTRACT: Compositional data, such as relative information, is a crucial aspect of machine learning and other related fields. It is typically recorded as closed data or sums to a constant, like 100%.