Mathieu Sebilo

Orcid: 0000-0002-3118-7416

According to our database1, Mathieu Sebilo authored at least 4 papers between 2019 and 2025.

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Bibliography

2025
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2025

From Binary to Multiclass Logistic Regression for Wine Origin: A Correlation- and Cost-Aware Study in Portugal and Chile.
Proceedings of the IEEE International Conference on Big Data, 2025

2020
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
Eng. Appl. Artif. Intell., 2020

2019
Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset.
Expert Syst. Appl., 2019


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