Follow
Radwa ElShawi
Radwa ElShawi
Associate Professor of Data Science, Institute of Computer Science, University of Tartu
Verified email at ut.ee - Homepage
Title
Cited by
Cited by
Year
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
2592019
Automated machine learning: State-of-the-art and open challenges
R Elshawi, M Maher, S Sakr
arXiv preprint arXiv:1906.02287, 2019
2502019
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
2152021
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
1782019
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
1782018
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
1232018
Large scale graph processing systems: survey and an experimental evaluation
O Batarfi, RE Shawi, AG Fayoumi, R Nouri, SMR Beheshti, A Barnawi, ...
Cluster Computing 18, 1189-1213, 2015
1202015
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, 1-15, 2017
982017
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, 379-405, 2016
832016
DLBench: a comprehensive experimental evaluation of deep learning frameworks
R Elshawi, A Wahab, A Barnawi, S Sakr
Cluster Computing 24, 2017-2038, 2021
602021
ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision
R ElShawi, Y Sherif, M Al-Mallah, S Sakr
Advances in Databases and Information Systems: 23rd European Conference …, 2019
402019
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
372015
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
312017
On characterizing the performance of distributed graph computation platforms
A Barnawi, O Batarfi, SMR Behteshi, R Elshawi, A Fayoumi, R Nouri, ...
Performance Characterization and Benchmarking. Traditional to Big Data: 6th …, 2015
282015
A decision support framework for automl systems: A meta-learning approach
S Dyrmishi, R Elshawi, S Sakr
2019 International Conference on Data Mining Workshops (ICDMW), 97-106, 2019
272019
Automated machine learning: Techniques and frameworks
R Elshawi, S Sakr
Big Data Management and Analytics: 9th European Summer School, eBISS 2019 …, 2020
262020
Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region
V Komisarenko, K Voormansik, R Elshawi, S Sakr
Scientific Reports 12 (1), 983, 2022
252022
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
232017
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
222015
Automated machine learning: State-of-the-art and open challenges. arXiv 2019
R Elshawi, M Maher, S Sakr
arXiv preprint arXiv:1906.02287, 1906
211906
The system can't perform the operation now. Try again later.
Articles 1–20