Université de Fribourg

OpenCrowd : A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation

Arous, Ines ; Yang, Jie ; Khayati, Mourad ; Cudré-Mauroux, Philippe

In: WWW '20: Proceedings of The Web Conference 2020, 2020, vol. April, p. 1851-1862

Finding social influencers is a fundamental task in many online applications ranging from brand marketing to opinion mining. Existing methods heavily rely on the availability of expert labels, whose collection is usually a laborious process even for domain experts. Using open-ended questions, crowdsourcing provides a cost-effective way to find a large number of social influencers in a short...

Université de Fribourg

Peer Grading the Peer Reviews : A Dual-Role Approach for Lightening the Scholarly Paper Review Process

Arous, Ines ; Yang, Jie ; Khayati, Mourad ; Cudré-Mauroux, Philippe

In: The Web Conference 2021, Ljubljana, Slovenia, April 12-23, 2021, 2021, p. 1-12

Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The submitted reviews often do not meet the conformity...

Université de Fribourg

ORBITS : Online Recovery of Missing Values in Multiple Time Series Streams

Khayati, Mourad ; Arous, Ines ; Tymchenko, Zakhar ; Cudré-Mauroux, Philippe

In: Proceedings of the VLDB Endowment, 2020, vol. 14, no. 3, p. 294-306

With the emergence of the Internet of Things (IoT), time series streams have become ubiquitous in our daily life. Recording such data is rarely a perfect process, as sensor failures frequently occur, yielding occasional blocks of data that go missing in multiple time series. These missing blocks do not only affect real-time monitoring but also compromise the quality of online data analyses....