متابعة
Radwa ElShawi
Radwa ElShawi
Associate Professor of Data Science, Institute of Computer Science, University of Tartu
بريد إلكتروني تم التحقق منه على ut.ee - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
2942019
Automated machine learning: State-of-the-art and open challenges‏
R Elshawi, M Maher, S Sakr‏
arXiv preprint arXiv:1906.02287, 2019‏
2772019
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
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
1952019
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
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
1342018
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
1232015
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
1022017
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
872016
DLBench: a comprehensive experimental evaluation of deep learning frameworks‏
R Elshawi, A Wahab, A Barnawi, S Sakr‏
Cluster Computing 24, 2017-2038, 2021‏
662021
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
462019
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
362015
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
322017
Automated machine learning: Techniques and frameworks‏
R Elshawi, S Sakr‏
Big Data Management and Analytics: 9th European Summer School, eBISS 2019 …, 2020‏
302020
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
292022
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
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
221906
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20