Abstract—Open Web-based and social platforms dramatically influence models of work. Today, there is an increasing interest in outsourcing tasks to crowdsourcing environments tha...
Harald Psaier, Florian Skopik, Daniel Schall, Scha...
— This paper is about collision avoidance of crowd robots. For this purpose a model of potential field is proposed. This potential field, generated by a neural network, is uniq...
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Abstract. We examine the structure and outcomes of user participation in PhishTank, a phishing-report collator. Anyone who wishes may submit URLs of suspected phishing websites, an...