• Publications
  • Influence
Wikipedia and its network of authors from a social network perspective
TLDR
The temporal evolution of the publicly available collaboration network of the Wikipedia authors is studied and it is demonstrated that it exhibits prominent similarities to well known social networks such as the small-world phenomenon, indicating that the insights gained from the analysis of Wikipedia's collaboration network might be transferable to social networks in general. Expand
Crowdsourced network measurements: Benefits and best practices
TLDR
This study compares crowdsourcing with traditional measurement techniques, describes possible pitfalls and limitations, and presents best practices to overcome these issues. Expand
A Survey of Crowdsourcing in Medical Image Analysis
TLDR
This survey reviews studies applying crowdsourcing to the analysis of medical images, published prior to July 2018, and identifies common approaches, challenges and considerations, providing guidance of utility to researchers adopting this approach. Expand
AquareYoum: Application- and Quality of Experience-Aware Resource Management for YouTube in Wireless Mesh Networks
TLDR
Die Software-Suite AquareYoum ist eine konkrete Realisierung dieses Konzepts, das ein auf Informationen der Anwendungsschicht reagierendes dynamisches Ressourcenmanagement fur WMNs vorschlagt. Expand
Crowd-Based Assessment of Deformational Cranial Asymmetries
TLDR
A novel use-case for crowdsourced subjective ratings of deformational cranial asymmetries of newborns is illustrated, which gain more and more relevance in medical research, like the evaluation of aesthetic surgeries. Expand
White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges
TLDR
This white paper is the outcome of the Wurzburg seminar on "Crowdsourced Network and QoE Measurements" which is - to the authors' knowledge - the first one covering the topic of crowdsourced network andQoE measurements. Expand
Crowdsourcing Quality of Experience Experiments
TLDR
The differences between laboratory-based and crowd-based QoE evaluation are discussed in this chapter. Expand
Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment
TLDR
This paper combines non-intrusive application monitoring of response times and subjective user ratings on the perceived application performance to evaluate the possibility of predicting the QoE based on the objective measurements using different machine learning approaches. Expand
Towards speech quality assessment using a crowdsourcing approach: evaluation of standardized methods
TLDR
Comparing laboratory-based and crowdsourcing-based speech quality assessments in terms of comparability of results and efficiency shows that in most cases, both paradigms lead to comparable results. Expand
Eye Tracker in the Wild: Studying the delta between what is said and measured in a crowdsourcing experiment
TLDR
A non-intrusive eye tracking crowdsourcing framework is proposed, where the only technical requirements from the users' side are a webcam and a HTML5 compatible web browser, to study the differences between what a participant implicitly and explicitly does during a crowdsourcing experiment. Expand
...
1
2
3
4
5
...