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Publications associées (12)

Discovering Influencers in Opinion Formation Over Social Graphs

Ali H. Sayed, Mert Kayaalp, Valentina Shumovskaia, Mert Cemri

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Analysis of Beijing 2022 Big Air Venue through data from WeChat Channel & Weibo

Huishu Deng

The Big Air venue of Beijing is constructed in an industrial heritage site named Shougang, under the concept of activating the abandoned area and linking the Olympic venue with public leisure life. As Beijing 2022 has concluded half a year ago and the Shou ...

2022

Automatic Online Fake News Detection Combining Content and Social Signals

Stefano Moret, Gabriele Ballarin

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

IEEE2018

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces

Denis Gillet, Maria Jesus Rodriguez Triana, Adrian Christian Holzer, Andrii Vozniuk

Nowadays, students bring their full ecosystem of social media platforms and their own devices to school, while teachers benefit from and contribute to local or global repositories of educational resources. As a consequence, educational institutions have to ...

2016

OES Characterization of Steamers in a Nanosecond Pulsed SBDB Using N2 and Ar Transitions

Christoph Hollenstein, Peter Ott, Pénélope Leyland, Philip Peschke, Sami Goekce

The characterization of non-thermal homogeneous plasmas is possible using optical emission spectroscopy (OES), notably by estimating the reduced electric field. This method was applied to characterize streamers generated by a nanosecond pulsed surface diel ...

Iop Publishing Ltd2016

Instability of two-phase co-axial jets at small Reynolds number

Laura Augello

A precise knowledge of co-axial flow dynamics and a better understanding of the mechanisms that act to destabilize the interface between the two fluids is of fundamental interest in many industrial applications like lubricated transport, injection devices, ...

EPFL2015

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explo- sion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand hum ...

EPFL2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human ...

EPFL2013

FaceTube: predicting personality from facial expressions of emotion in online conversational video

Daniel Gatica-Perez, Joan Isaac Biel Tres

The advances in automatic facial expression recognition make it possible to mine and characterize large amounts of data, opening a wide research domain on behavioral understanding. In this paper, we leverage the use of a state-of-theart facial expression r ...

2012

FaceTube: predicting personality from facial expressions of emotion in online conversational video

Daniel Gatica-Perez, Joan Isaac Biel Tres

Idiap2012

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