Publications de Vincent Etter | EPFL Graph Search

Online Collaborative Prediction of Regional Vote Results

Patrick Thiran, Matthias Grossglauser, Vincent Etter, Mohammad Emtiyaz Khan

We consider online predictions of vote results, where regions across a country vote on an issue under discussion. Such online predictions before and during the day of the vote are useful to media agencies, polling institutes, and political parties, e.g., t ...

IEEE2016

Combine and Conquer : Mining Social Systems for Prediction

Vincent Etter

In this thesis, we explore the application of data mining and machine learning techniques to several practical problems. These problems have roots in various fields such as social science, economics, and political science. We show that computer science tec ...

EPFL2015

Mining Democracy

Patrick Thiran, Matthias Grossglauser, Vincent Etter, Julien Pierre Sacha Herzen

Switzerland has a long tradition of direct democracy, which makes it an ideal laboratory for research on real-world politics. Similar to recent open government initiatives launched worldwide, the Swiss government regularly releases datasets related to stat ...

2014

Where to go from here? Mobility prediction from instantaneous information

Patrick Thiran, Matthias Grossglauser, Mohamed Kafsi, Vincent Etter, Ehsan Kazemi

We present the work that allowed us to win the Next-Place Prediction task of the Nokia Mobile Data Challenge. Using data collected from the smartphones of 80 users, we explore the characteristics of their mobility traces. We then develop three families of ...

Elsevier Science Bv2013

Launch Hard or Go Home! Predicting the Success of Kickstarter Campaigns

Patrick Thiran, Matthias Grossglauser, Vincent Etter

Crowdfunding websites such as Kickstarter are becoming increasingly popular, allowing project creators to raise hundreds of millions of dollars every year. However, only one out of two Kickstarter campaigns reaches its funding goal and is successful. It is ...

ACM2013

Been There, Done That: What Your Mobility Traces Reveal about Your Behavior

Mohamed Kafsi, Vincent Etter, Ehsan Kazemi

Mobility is a central aspect of our life; the locations we visit reflect our tastes and lifestyle and shape our social relationships. The ability to foresee the places a user will visit is therefore beneficial to numerous applications, ranging from forecas ...

2012