Music Feature Maps with Convolutional Neural Networks for Music Genre Classification. - Christine Sénac; Thomas Pellegrini; Florian Mouret; Julien Pinquier (CBMI, 2017)

Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Hervé Poilvé; Guillaume Rieu; Jean-Yves Tourneret (CoRR, 2020)

Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (CoRR, 2021)

Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (Remote. Sens., 2021)

Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Jean-Yves Tourneret (EUSIPCO, 2022)

Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models. - Kareth Marcela León López; Florian Mouret; Henry Arguello; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2022)

Crop monitoring and detection of anomalous crop development at the parcel-level with multispectral and synthetic aperture radar satellite data. (Surveillance des cultures et détection d'anomalies sur parcelles agricoles à l'aide de données multispectrales et radar à synthèse d'ouverture). - Florian Mouret (2022)

Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development. - Florian Mouret; Mohanad Albughdadi; Sylvie Duthoit; Denis Kouamé; Guillaume Rieu; Jean-Yves Tourneret (Comput. Electron. Agric., 2022)

A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. - Florian Mouret; Alexandre Hippert-Ferrer; Frédéric Pascal 001; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2023)

Mapping the Dieback of Several Tree Species in Centre of France Using Sentinel-2 Derived Indices : a Preliminary Analysis. - Florian Mouret; David Morin; Hilaire Martin; Milena Planells; Cécile Vincent-Barbaroux (IGARSS, 2024)

Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context. - Florian Mouret; David Morin; Milena Planells; Cécile Vincent-Barbaroux (CoRR, 2024)

Evaluating Sentinel-1 Capability in Classifying Dieback in Chestnut and Oak Forests. - Florian Mouret; Marie Parrens; Véronique Chéret; Jean-Philippe Denux; Cécile Vincent-Barbaroux; Milena Planells (IEEE Geosci. Remote. Sens. Lett., 2024)

Submonthly Assessment of Temperate Forest Clear-Cuts in Mainland France. - Stéphane Mérmoz; Juan Doblas Prieto; Milena Planells; David Morin; Thierry Koleck; Florian Mouret; Alexandre Bouvet; Thuy Le Toan; David Sheeren; Yousra Hamrouni; Thierry Belouard; Eric Paillassa; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France. - Florian Mouret; David Morin; Hilaire Martin; Milena Planells; Cécile Vincent-Barbaroux (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)