George Sakr
George Sakr
St. Joseph University of Beirut (ESIB)
Verified email at usj.edu.lb
Title
Cited by
Cited by
Year
Efficient forest fire occurrence prediction for developing countries using two weather parameters
GE Sakr, IH Elhajj, G Mitri
Engineering Applications of Artificial Intelligence 24 (5), 888-894, 2011
612011
Support vector machines to define and detect agitation transition
GE Sakr, IH Elhajj, HAS Huijer
IEEE transactions on affective computing 1 (2), 98-108, 2010
592010
Comparing deep learning and support vector machines for autonomous waste sorting
GE Sakr, M Mokbel, A Darwich, MN Khneisser, A Hadi
2016 IEEE International Multidisciplinary Conference on Engineering …, 2016
582016
Artificial intelligence for forest fire prediction
GE Sakr, IH Elhajj, G Mitri, UC Wejinya
2010 IEEE/ASME international conference on advanced intelligent mechatronics …, 2010
572010
Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac …
HA Isma’eel, PC Cremer, S Khalaf, MM Almedawar, IH Elhajj, GE Sakr, ...
The international journal of cardiovascular imaging 32 (4), 687-696, 2016
172016
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
H Farhat, GE Sakr, R Kilany
Machine vision and applications 31 (6), 1-42, 2020
142020
Multi level SVM for subject independent agitation detection
GE Sakr, IH Elhajj, UC Wejinya
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2009
122009
Improved accuracy of anticoagulant dose prediction using a pharmacogenetic and artificial neural network-based method
HA Isma’eel, GE Sakr, RH Habib, MM Almedawar, NK Zgheib, IH Elhajj
European journal of clinical pharmacology 70 (3), 265-273, 2014
112014
Subject independent agitation detection
GE Sakr, IH Elhajj, HAS Huijer, C Riley-Doucet, D Debnath
2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2008
92008
Decision confidence-based multi-level support vector machines
GE Sakr, IH Elhajj
Engineering Applications of Artificial Intelligence 26 (8), 1892-1901, 2013
72013
Artificial intelligence for forest fire prediction: a comparative study
GE Sakr, IHE Hajj, G Mitri
62010
Design and Optimization of a Renewable-Energy Fully-Hybrid Power Supply System in Mobile Radio Access Networks
R Mina, G Sakr
International Journal of Renewable Energy Research (IJRER) 9 (3), 1339-1350, 2019
42019
Digit recognition with confidence
GE Sakr, IH Elhajj
2011 IEEE Workshop on Signal Processing Systems (SiPS), 299-304, 2011
42011
Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond–Forrester and Morise risk assessment …
HA Isma’eel, GE Sakr, M Serhan, N Lamaa, A Hakim, PC Cremer, ...
Journal of Nuclear Cardiology 25 (5), 1601-1609, 2018
32018
P260 Right cardiac chambers remodeling in marathon and ultra-trail athletes detected by speckle-tracking echocardiography
K Ujka, RM Bruno, B Catuzzo, L Bastiani, A Tonacci, G D'angelo, ...
European Heart Journal-Cardiovascular Imaging 17 (suppl_2), ii45-ii48, 2016
32016
Diamond–Forrester and Morise risk models perform poorly in predicting obstructive coronary disease in Middle Eastern Cohort
HA Isma'eel, M Serhan, GE Sakr, N Lamaa, T Garabedian, I Elhajj, ...
International journal of cardiology 203, 803-805, 2016
32016
VC-based confidence and credibility for support vector machines
GE Sakr, IH Elhajj
Soft Computing 20 (1), 133-147, 2016
32016
A speckle-tracking strain-based artificial neural network model to differentiate cardiomyopathy type
JL Walsh, WA AlJaroudi, N Lamaa, OK Abou Hassan, K Jalkh, IH Elhajj, ...
Scandinavian Cardiovascular Journal 54 (2), 92-99, 2020
22020
Convolution Neural Networks for Arabic Font Recognition
GE Sakr, A Mhanna, R Demerjian
The 15th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET …, 2019
22019
Convolution neural network application for road asset detection and classification in lidar point cloud
GE Sakr, L Eido, C Maarawi
Proceedings of SAI Intelligent Systems Conference, 86-100, 2018
22018
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Articles 1–20