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Sherif Sakr
Sherif Sakr
UT, KSAU-HS, UNSW
Geverifieerd e-mailadres voor ut.ee - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Handbook of big data technologies
AY Zomaya, S Sakr
Springer International Publishing 10, 978-3, 2017
643*2017
A survey of large scale data management approaches in cloud environments
S Sakr, A Liu, DM Batista, M Alomari
IEEE communications surveys & tutorials 13 (3), 311-336, 2011
5982011
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
M Alghamdi, M Al-Mallah, S Keteyian, C Brawner, J Ehrman, S Sakr
PloS one 12 (7), e0179805, 2017
3222017
Graph query processing using plurality of engines
S Elnikety, Y He, S Sakr
US Patent 9,053,210, 2015
3122015
On the interpretability of machine learning-based model for predicting hypertension
R Elshawi, MH Al-Mallah, S Sakr
BMC medical informatics and decision making 19, 1-32, 2019
2932019
Cardiorespiratory fitness and cardiovascular disease prevention: an update
MH Al-Mallah, S Sakr, A Al-Qunaibet
Current atherosclerosis reports 20, 1-9, 2018
2892018
Graph data management: techniques and applications
S Sakr, E Pardede
Information Science Reference-Imprint of: IGI Publishing, 2011
280*2011
Automated machine learning: State-of-the-art and open challenges
R Elshawi, M Maher, S Sakr
arXiv preprint arXiv:1906.02287, 2019
2772019
The family of mapreduce and large-scale data processing systems
S Sakr, A Liu, AG Fayoumi
ACM Computing Surveys (CSUR) 46 (1), 1-44, 2013
2602013
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques
R ElShawi, Y Sherif, M Al‐Mallah, S Sakr
Computational Intelligence 37 (4), 1633-1650, 2021
2552021
Encyclopedia of Big Data Technologies
SSA Zomaya
Springer, 2019
246*2019
The future is big graphs: a community view on graph processing systems
S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ...
Communications of the ACM 64 (9), 62-71, 2021
2282021
Towards a comprehensive data analytics framework for smart healthcare services
S Sakr, A Elgammal
Big Data Research 4, 44-58, 2016
2202016
Predictors of in-hospital length of stay among cardiac patients: a machine learning approach
TA Daghistani, R Elshawi, S Sakr, AM Ahmed, A Al-Thwayee, ...
International journal of cardiology 288, 140-147, 2019
1942019
Big data systems meet machine learning challenges: towards big data science as a service
R Elshawi, S Sakr, D Talia, P Trunfio
Big data research 14, 1-11, 2018
1842018
XQuery on SQL hosts
T Grust, S Sakr, J Teubner
VLDB 4, 252-263, 2004
1812004
Relational processing of RDF queries: a survey
S Sakr, G Al-Naymat
ACM Sigmod Record 38 (4), 23-28, 2010
1742010
DREAM: distributed RDF engine with adaptive query planner and minimal communication
M Hammoud, DA Rabbou, R Nouri, SMR Beheshti, S Sakr
Proceedings of the VLDB Endowment 8 (6), 654-665, 2015
1422015
XML compression techniques: A survey and comparison
S Sakr
Journal of Computer and System Sciences 75 (5), 303-322, 2009
1402009
RDF data storage and query processing schemes: A survey
M Wylot, M Hauswirth, P Cudré-Mauroux, S Sakr
ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018
1362018
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Artikelen 1–20