Mohanad Albughdadi

According to our database1, Mohanad Albughdadi authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
European AI and EO convergence via a novel community-driven framework for data-intensive innovation.
Future Gener. Comput. Syst., 2024

Exploring Sam Transfer Learning in Optical Remote Sensing.
Proceedings of the IGARSS 2024, 2024

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

Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images.
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
Density-based particle swarm optimization algorithm for data clustering.
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

Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Multi-subject joint parcellation detection estimation in functional MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014
Model selection for hemodynamic brain parcellation in FMRI.
Proceedings of the 22nd European Signal Processing Conference, 2014


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