George Sakr
George Sakr
Virgil Systems Inc. Canada
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Cited by
Cited by
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
Artificial intelligence for forest fire prediction
GE Sakr, IH Elhajj, G Mitri, UC Wejinya
2010 IEEE/ASME international conference on advanced intelligent mechatronics …, 2010
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
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, 1-42, 2020
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
A review of machine learning techniques in analog integrated circuit design automation
R Mina, C Jabbour, GE Sakr
Electronics 11 (3), 435, 2022
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, 687-696, 2016
Multi level SVM for subject independent agitation detection
GE Sakr, IH Elhajj, UC Wejinya
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2009
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, 265-273, 2014
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, 1601-1609, 2018
Artificial intelligence for forest fire prediction: a comparative study
GE Sakr, IHE Hajj, G Mitri
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
A comparison of artificial intelligence-based algorithms for the identification of patients with depressed right ventricular function from 2-dimentional echocardiography …
A Ahmad, Z Ibrahim, G Sakr, A El-Bizri, L Masri, IH Elhajj, N El-Hachem, ...
Cardiovascular Diagnosis and Therapy 10 (4), 859, 2020
The benefits of synthetic data for action categorization
M Ballout, M Tuqan, D Asmar, E Shammas, G Sakr
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Decision confidence-based multi-level support vector machines
GE Sakr, IH Elhajj
Engineering Applications of Artificial Intelligence 26 (8), 1892-1901, 2013
Convolution Neural Networks for Arabic Font Recognition
GE Sakr, A Mhanna, R Demerjian
The 15th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET …, 2019
VC-based confidence and credibility for support vector machines
GE Sakr, IH Elhajj
Soft Computing 20, 133-147, 2016
Semantic segmentation of maxillary teeth and palatal Rugae in two-dimensional images
AR El Bsat, E Shammas, D Asmar, GE Sakr, KG Zeno, AT Macari, ...
Diagnostics 12 (9), 2176, 2022
Integration of Palestinian refugee children from Syria in UNRWA schools in Lebanon
Z Beydoun, S Abdulrahim, G Sakr
Journal of international migration and integration, 1-13, 2021
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
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