Emilie Devijver

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Partially Labeled

Causal Discovery

Wrapper Feature Selection

Top Venues

J. Artif. Intell. Res.

Publications

Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR (2024)
Ashna Jose, João Paulo Almeida de Mendonça, Emilie Devijver, Noël Jakse, Valérie Monbet, Roberta Poloni
Regression tree-based active learning. Data Min. Knowl. Discov. 38 (2) (2024)
Alexandre Seiller, Éric Gaussier, Emilie Devijver, Marianne Clausel, Sami Alkhoury
Ensembles of Probabilistic Regression Trees. CoRR (2024)
Ashna Jose, Emilie Devijver, Massih-Reza Amini, Noël Jakse, Roberta Poloni
Classification Tree-based Active Learning: A Wrapper Approach. CoRR (2024)
Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. 2024 (2024)
Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui
Identifiability of total effects from abstractions of time series causal graphs. CoRR (2023)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI (2023)
Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR (2023)
Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan
Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR (2023)
Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini
Pool-Based Active Learning with Proper Topological Regions. CoRR (2023)
Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
Self-Training: A Survey. CoRR (2022)
Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy 24 (9) (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Discovery of extended summary graphs in time series. UAI (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. 73 (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Inferring extended summary causal graphs from observational time series. CoRR (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy 24 (8) (2022)
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Wrapper feature selection with partially labeled data. Appl. Intell. 52 (11) (2022)
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Multi-class Probabilistic Bounds for Self-learning. CoRR (2021)
Karim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
Entropy-based Discovery of Summary Causal Graphs in Time Series. CoRR (2021)
Karim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. ECML/PKDD (1) (2021)
Emilie Devijver, Émeline Perthame
Prediction regions through Inverse Regression. J. Mach. Learn. Res. 21 (2020)
Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim
Smooth And Consistent Probabilistic Regression Trees. NeurIPS (2020)
Karim Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
Scaling Causal Inference in Additive Noise Models. CD@KDD (2019)
Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver
Semi-supervised Wrapper Feature Selection with Imperfect Labels. CoRR (2019)
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Transductive Bounds for the Multi-Class Majority Vote Classifier. AAAI (2019)
Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre
Dealing with Uncertain Inputs in Regression Trees. CoRR (2018)
Emilie Devijver
Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model. J. Multivar. Anal. 157 (2017)
Emilie Devijver
Model-based regression clustering for high-dimensional data: application to functional data. Adv. Data Anal. Classif. 11 (2) (2017)
Emilie Devijver, Mélina Gallopin
Block-diagonal covariance selection for high-dimensional Gaussian graphical models. CoRR (2015)