Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset. - Romy Ratolojanahary; Raymond Houé Ngouna; Kamal Medjaher; Jean Junca-Bourié; Fabien Dauriac; Mathieu Sebilo (Expert Syst. Appl., 2019)

A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values. - Raymond Houé Ngouna; Romy Ratolojanahary; Kamal Medjaher; Fabien Dauriac; Mathieu Sebilo; Jean Junca-Bourié (Eng. Appl. Artif. Intell., 2020)

Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data. - Zhe Cao; Yihang Lu; Haonan Xin; Rong Wang 001; Feiping Nie 001; Mathieu Sebilo (IEEE Trans. Geosci. Remote. Sens., 2025)