Nassim Ammour
Nassim Ammour
Associate Professor
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Cited by
Cited by
Deep learning approach for car detection in UAV imagery
N Ammour, H Alhichri, Y Bazi, B Benjdira, N Alajlan, M Zuair
Remote Sensing 9 (4), 312, 2017
Classification of remote sensing images using EfficientNet-B3 CNN model with attention
H Alhichri, AS Alswayed, Y Bazi, N Ammour, NA Alajlan
IEEE access 9, 14078-14094, 2021
Siamese-GAN: Learning invariant representations for aerial vehicle image categorization
L Bashmal, Y Bazi, H AlHichri, MM AlRahhal, N Ammour, N Alajlan
Remote Sensing 10 (2), 351, 2018
Asymmetric adaptation of deep features for cross-domain classification in remote sensing imagery
N Ammour, L Bashmal, Y Bazi, MM Al Rahhal, M Zuair
IEEE Geoscience and Remote Sensing Letters 15 (4), 597-601, 2018
Rhythm-based heartbeat duration normalization for atrial fibrillation detection
MS Islam, N Ammour, N Alajlan, H Aboalsamh
Computers in biology and medicine 72, 160-169, 2016
Few-shot learning for remote sensing scene classification
D Alajaji, HS Alhichri, N Ammour, N Alajlan
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020
Deep attention neural network for multi-label classification in unmanned aerial vehicle imagery
A Alshehri, Y Bazi, N Ammour, H Almubarak, N Alajlan
IEEE Access 7, 119873-119880, 2019
Selection of heart-biometric templates for fusion
S Islam, N Ammour, N Alajlan, M Abdullah-Al-Wadud
IEEE Access 5, 1753-1761, 2017
Fusion of fingerprint and heartbeat biometrics using fuzzy adaptive genetic algorithm
N Alajlan, MS Islam, N Ammour
World Congress on Internet Security (WorldCIS-2013), 76-81, 2013
Clustering of hyperspectral images with an ensemble method based on fuzzy c-means and markov random fields
H Alhichri, N Ammour, N Alajlan, Y Bazi
Arabian Journal for Science and Engineering 39, 3747-3757, 2014
Premature ventricular contraction arrhythmia detection and classification with Gaussian process and S transform
Y Bazi, H Hichri, N Alajlan, N Ammour
2013 Fifth International Conference on Computational Intelligence …, 2013
Atrial fibrillation detection with multiparametric RR interval feature and machine learning technique
S Islam, N Ammour, N Alajlan
2017 International Conference on Informatics, Health & Technology (ICIHT), 1-5, 2017
Tile-based semisupervised classification of large-scale VHR remote sensing images
H Alhichri, E Othman, M Zuair, N Ammour, Y Bazi
Journal of Sensors 2018, 2018
A hierarchical learning paradigm for semi-supervised classification of remote sensing images
H Alhichri, Y Bazi, N Alajlan, N Ammour
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Continual learning using data regeneration for remote sensing scene classification
N Ammour
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
A cluster ensemble method for robust unsupervised classification of VHR remote sensing images
N Alajlan, N Ammour, Y Bazi, H Hichri
2011 IEEE international geoscience and remote sensing symposium, 2896-2899, 2011
Real-time mobile-based electrocardiogram system for remote monitoring of patients with cardiac arrhythmias
Y Bazi, MM Al Rahhal, H AlHichri, N Ammour, N Alajlan, M Zuair
International Journal of Pattern Recognition and Artificial Intelligence 34 …, 2020
Atrial fibrillation detection with a domain adaptation neural network approach
N Ammour
2018 International Conference on Computational Science and Computational …, 2018
LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector
N Ammour, H Alhichri, Y Bazi, N Alajlan
Computers in Biology and Medicine 137, 104807, 2021
A dynamic weights OWA fusion for ensemble clustering
N Ammour, N Alajlan
Signal, Image and Video Processing 9, 727-734, 2015
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