Generalized additive models for conditional dependence structures. - Thibault Vatter; Valérie Chavez-Demoulin (J. Multivar. Anal., 2015)

Non-linear models for extremal dependence. - Linda Mhalla; Valérie Chavez-Demoulin; Philippe Naveau (J. Multivar. Anal., 2017)

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data. - Kshitij Sharma; Valérie Chavez-Demoulin; Pierre Dillenbourg (J. Learn. Anal., 2017)

Discovering demographic data of users from the evolution of their spatio-temporal entropy. - Arielle Moro; Benoît Garbinato; Valérie Chavez-Demoulin (CoRR, 2018)

Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy. - Arielle Moro; Benoît Garbinato; Valérie Chavez-Demoulin (CoRR, 2019)

Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery. - Natasa Tagasovska; Valérie Chavez-Demoulin; Thibault Vatter (ICML, 2020)

An Automated Dashboard to Improve Laboratory COVID-19 Diagnostics Management. - Emma Maury; Marc-Olivier Boldi; Gilbert Greub; Valérie Chavez; Katia Jaton; Onya Opota (Frontiers Digit. Health, 2021)

SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals. - Ilia Azizi; Marc-Olivier Boldi; Valérie Chavez-Demoulin (COPA, 2025)

Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates. - Louise Largeau; Erwan Koch; David Leutwyler; Grégoire Mariéthoz; Valérie Chavez-Demoulin; Tom Beucler (CoRR, 2025)