Ingrid Grenet

According to our database, Ingrid Grenet authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Onboard Anomaly Detection for Marine Environmental Protection.

Thomas Goudemant, Benjamin Francesconi, Michelle Aubrun, Erwann Kervennic, Ingrid Grenet, Yves Bobichon, Marjorie Bellizzi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

SGraphZoe: Explainable self-supervised framework for signal-based anomaly detection.

Mikhail Kamalov, Luca Uggeri, Ingrid Grenet, Jonathan Daeden

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

ZGP appliqué à la segmentation des images hyperspectrales.

Ingrid Grenet, Yves Bobichon, Adrien Girard

Proceedings of the 9ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2023

2021

Zoetrope genetic programming for regression.

Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

PaZoe: classifying time series with few labels.

Mikhail Kamalov, Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden

Proceedings of the 29th European Signal Processing Conference, 2021

2019

Evaluation of the use of public toxicological data for chemical hazard prediction through computational methods. (De l'utilisation des données publiques pour la prédiction de la toxicité des produits chimiques).

Ingrid Grenet

PhD thesis, 2019

Stacked Generalization with Applicability Domain Outperforms Simple QSAR on in Vitro Toxicological Data.

Ingrid Grenet, Kevin Merlo, Jean-Paul Comet, Romain Tertiaux, David Rouquié, Frédéric Dayan

J. Chem. Inf. Model., 2019

2018

G-Networks to Predict the Outcome of Sensing of Toxicity.

Ingrid Grenet, Yonghua Yin, Jean-Paul Comet

Sensors, 2018

Machine Learning to Predict Toxicity of Compounds.

Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018