Long Term Object Drift Forecast in the Ocean with Tide and Wind. - Pierre Ailliot; Emmanuel Frénod; Valérie Monbet (Multiscale Model. Simul., 2006)

Markov-switching autoregressive models for wind time series. - Pierre Ailliot; Valérie Monbet (Environ. Model. Softw., 2012)

Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature. - Valérie Monbet; Pierre Ailliot (Comput. Stat. Data Anal., 2017)

Classification tree algorithm for grouped variables. - Audrey Poterie; Jean-François Dupuy; Valérie Monbet; Laurent Rouvìère (Comput. Stat., 2019)

An algorithm for non-parametric estimation in state-space models. - Thi Tuyet Trang Chau; Pierre Ailliot; Valérie Monbet (Comput. Stat. Data Anal., 2021)

Prédiction des niveaux de risque pollinique à partir de données historiques multi-sources. - Esso-Ridah Bleza; Valérie Monbet; Pierre-François Marteau (EGC, 2022)

Learning the spatio-temporal relationship between wind and significant wave height using deep learning. - Said Obakrim; Valérie Monbet; Nicolas Raillard; Pierre Ailliot (CoRR, 2022)

A Stochastic Expectation Maximization Algorithm for the Estimation of Wastewater Treatment Plant Ammonium Concentration. - Victor Bertret; Roman Le Goff Latimier; Valérie Monbet (ECC, 2024)

Regression tree-based active learning. - Ashna Jose; João Paulo Almeida de Mendonça; Emilie Devijver; Noël Jakse; Valérie Monbet; Roberta Poloni (Data Min. Knowl. Discov., 2024)