Mohanad Albughdadi
According to our database1,
Mohanad Albughdadi
authored at least 20 papers
between 2014 and 2024.
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Bibliography
2024
European AI and EO convergence via a novel community-driven framework for data-intensive innovation.
Future Gener. Comput. Syst., 2024
Proceedings of the IGARSS 2024, 2024
2023
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023
2022
Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development.
Comput. Electron. Agric., July, 2022
Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation.
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series.
Remote. Sens., 2021
Remote. Sens., 2021
Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status.
Remote. Sens., 2021
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops.
CoRR, 2021
Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks.
Comput. Electron. Agric., 2021
2020
Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops.
CoRR, 2020
Unsupervised Learning of Robust Representations for Change Detection on Sentinel-2 Earth Observation Images.
Proceedings of the Environmental Software Systems. Data Science in Action, 2020
2019
Variance-based differential evolution algorithm with an optional crossover for data clustering.
Appl. Soft Comput., 2019
2018
Expert Syst. Appl., 2018
2017
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation.
Signal Process., 2017
Missing data reconstruction and anomaly detection in crop development using agronomic indicators derived from multispectral satellite images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints. (Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles).
PhD thesis, 2016
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Proceedings of the 22nd European Signal Processing Conference, 2014