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Valérie Chavez-Demoulin
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2020 – today
- 2024
- [i3]Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-Demoulin:
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals. CoRR abs/2405.18176 (2024) - 2021
- [j4]Emma Maury, Marc-Olivier Boldi, Gilbert Greub, Valérie Chavez, Katia Jaton, Onya Opota
:
An Automated Dashboard to Improve Laboratory COVID-19 Diagnostics Management. Frontiers Digit. Health 3: 773986 (2021) - 2020
- [c1]Natasa Tagasovska, Valérie Chavez-Demoulin, Thibault Vatter:
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery. ICML 2020: 9311-9323
2010 – 2019
- 2019
- [i2]Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin:
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy. CoRR abs/1906.07537 (2019) - 2018
- [i1]Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin:
Discovering demographic data of users from the evolution of their spatio-temporal entropy. CoRR abs/1803.04240 (2018) - 2017
- [j3]Linda Mhalla
, Valérie Chavez-Demoulin, Philippe Naveau
:
Non-linear models for extremal dependence. J. Multivar. Anal. 159: 49-66 (2017) - [j2]Kshitij Sharma, Valérie Chavez-Demoulin, Pierre Dillenbourg:
An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data. J. Learn. Anal. 4(3) (2017) - 2015
- [j1]Thibault Vatter
, Valérie Chavez-Demoulin:
Generalized additive models for conditional dependence structures. J. Multivar. Anal. 141: 147-167 (2015)
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last updated on 2024-06-27 21:31 CEST by the dblp team
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