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ORCIDMohanad Albughdadi
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2020 – today
- 2024
[j9]Antonis Troumpoukis
, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi, Vasileios Baousis, Omar Barrilero, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, Michele Lazzarini, Adrian Luna, Alexandros Nousias, Christos Perentis, George Petrakis, Dharmen Punjani, David Röbl, George Stamoulis, Eleni Tsalapati, Indre Urbanaviciute, Giulio Weikmann, Xenia Ziouvelou, Marcin Ziólkowski, Manolis Koubarakis, Vangelis Karkaletsis:
European AI and EO convergence via a novel community-driven framework for data-intensive innovation. Future Gener. Comput. Syst. 160: 505-521 (2024)- [c8]Mohanad Albughdadi, Vasileios Baousis, Tolga Kaprol, Armagan Karatosun, Claudio Pisa:
Exploring Sam Transfer Learning in Optical Remote Sensing. IGARSS 2024: 2519-2523 - 2023
- [c7]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann, Marcin Ziólkowski, Xenia Ziouvelou, Manolis Koubarakis, Vangelis Karkaletsis:
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService 2023: 9-16 - 2022
- [j8]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret:
Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development. Comput. Electron. Agric. 198: 106983 (2022) - [c6]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Jean-Yves Tourneret:
Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation. EUSIPCO 2022: 827-831 - 2021
- [j7]Mohanad Albughdadi, Guillaume Rieu, Sylvie Duthoit, Mohammed Alswaitti:
Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks. Comput. Electron. Agric. 180: 105899 (2021) - [j6]Eve Laroche-Pinel, Mohanad Albughdadi, Sylvie Duthoit, Véronique Chéret, Jacques Rousseau, Harold Clenet:
Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status. Remote. Sens. 13(3): 536 (2021) - [j5]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret:
Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series. Remote. Sens. 13(5): 956 (2021) - [j4]Eve Laroche-Pinel, Sylvie Duthoit, Mohanad Albughdadi, Anne D. Costard, Jacques Rousseau, Véronique Chéret, Harold Clenet:
Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images. Remote. Sens. 13(9): 1837 (2021) - [i2]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret:
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 abs/2110.11780 (2021) - 2020
- [c5]Michelle Aubrun, Andres Troya-Galvis, Mohanad Albughdadi, Romain Hugues, Marc Spigai:
Unsupervised Learning of Robust Representations for Change Detection on Sentinel-2 Earth Observation Images. ISESS 2020: 1-6 - [i1]Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Hervé Poilvé, Guillaume Rieu, Jean-Yves Tourneret:
Unsupervised crop anomaly detection at the parcel-level using optical and SAR images: application to wheat and rapeseed crops. CoRR abs/2004.08431 (2020)
2010 – 2019
- 2019
- [j3]Mohammed Alswaitti, Mohanad Albughdadi, Nor Ashidi Mat Isa:
Variance-based differential evolution algorithm with an optional crossover for data clustering. Appl. Soft Comput. 80: 1-17 (2019) - 2018
- [j2]Mohammed Azmi Al-Betar, Mohanad Albughdadi, Nor Ashidi Mat Isa:
Density-based particle swarm optimization algorithm for data clustering. Expert Syst. Appl. 91: 170-186 (2018) - 2017
- [j1]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu:
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. 135: 132-146 (2017) - [c4]Mohanad Albughdadi, Denis Kouame, Guillaume Rieu, Jean-Yves Tourneret:
Missing data reconstruction and anomaly detection in crop development using agronomic indicators derived from multispectral satellite images. IGARSS 2017: 5081-5084 - 2016
- [b1]Mohanad Albughdadi:
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). National Polytechnic Institute of Toulouse, France, 2016 - [c3]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Multi-subject joint parcellation detection estimation in functional MRI. ISBI 2016: 74-77 - [c2]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret:
Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI. MIAR 2016: 247-258 - 2014
- [c1]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO 2014: 31-35
Coauthor Index
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