Radwa ElShawi
Radwa ElShawi
Associate Professor, Institute of Computer Science, University of Tartu
Verified email at ut.ee - Homepage
Title
Cited by
Cited by
Year
Large scale graph processing systems: survey and an experimental evaluation
O Batarfi, R El Shawi, AG Fayoumi, R Nouri, A Barnawi, S Sakr
Cluster Computing 18 (3), 1189-1213, 2015
892015
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
642018
Big data 2.0 processing systems: Taxonomy and open challenges
F Bajaber, R Elshawi, O Batarfi, A Altalhi, A Barnawi, S Sakr
Journal of Grid Computing 14 (3), 379-405, 2016
642016
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), 1-32, 2019
622019
Automated machine learning: State-of-the-art and open challenges
R Elshawi, M Maher, S Sakr
arXiv preprint arXiv:1906.02287, 2019
532019
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
482019
Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project
S Sakr, R Elshawi, A Ahmed, WT Qureshi, C Brawner, S Keteyian, ...
PLoS One 13 (4), e0195344, 2018
472018
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project
S Sakr, R Elshawi, AM Ahmed, WT Qureshi, CA Brawner, SJ Keteyian, ...
BMC medical informatics and decision making 17 (1), 1-15, 2017
402017
On characterizing the performance of distributed graph computation platforms
A Barnawi, O Batarfi, R Elshawi, A Fayoumi, R Nouri, S Sakr
Technology Conference on Performance Evaluation and Benchmarking, 29-43, 2014
262014
Runtime detection of business process compliance violations: An approach based on anti patterns
A Awad, A Barnawi, A Elgammal, R Elshawi, A Almalaise, S Sakr
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1203-1210, 2015
242015
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques
R ElShawi, Y Sherif, M Al‐Mallah, S Sakr
Computational Intelligence, 2020
232020
The impact of digoxin on mortality in patients with chronic systolic heart failure: a propensity-matched cohort study
M Al-Khateeb, WT Qureshi, R Odeh, AM Ahmed, S Sakr, R Elshawi, ...
International journal of cardiology 228, 214-218, 2017
172017
Using machine learning to define the association between cardiorespiratory fitness and all-cause mortality (from the henry ford exercise testing project)
MH Al-Mallah, R Elshawi, AM Ahmed, WT Qureshi, CA Brawner, MJ Blaha, ...
The American journal of cardiology 120 (11), 2078-2084, 2017
162017
Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Seyed-Mehdi-Reza Beheshti, Ahmed Barnawi, and Sherif Sakr. Large scale graph processing systems: survey and an experimental evaluation
O Batarfi
Cluster Computing 18 (3), 1189-1213, 2015
152015
An antipattern-based runtime business process compliance monitoring framework
A Barnawi, A Awad, A Elgammal, R Elshawi, A Almalaise, S Sakr
framework 7 (2), 551-572, 2016
122016
Big graph processing systems: State-of-the-art and open challenges
R Elshawi, O Batarfi, A Fayoumi, A Barnawi, S Sakr
2015 IEEE First International Conference on Big Data Computing Service and …, 2015
122015
Runtime self-monitoring approach of business process compliance in cloud environments
A Barnawi, A Awad, A Elgammal, R El Shawi, A Almalaise, S Sakr
Cluster Computing 18 (4), 1503-1526, 2015
102015
Big data processing systems: state-of-the-art and open challenges
S Sakr, F Bajaber, A Barnawi, A Altalhi, R Elshawi, O Batarfi
2015 International Conference on Cloud Computing (ICCC), 1-8, 2015
82015
DLBench: an experimental evaluation of deep learning frameworks
N Mahmoud, Y Essam, R Elshawi, S Sakr
2019 IEEE International Congress on Big Data (BigDataCongress), 149-156, 2019
72019
BP-MaaS: A Runtime Compliance-Monitoring System for Business Processes.
A Barnawi, A Awad, A Elgammal, R El Shawi, A Almalaise, S Sakr
BPM (Demos), 25-29, 2015
72015
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