Homepage of Radwa El Shawi

H.Eldeeb , S. Amashukeli, R. El Shawi. BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. IEEE BigData 2022. [To appear]
R. El Shawi, S. Sakr. cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. ICDMW 2022. [To appear]
R. El Shawi, S. Sakr. TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. ICDMW 2022. [To appear]
R. El Shawi, & M. Al‐Mallah. Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality. Journal of Artificial Intelligence Research, 2022;75: 833-855. link
R.El Shawi, K. Kilanava, and S. Sakr. "An interpretable semi-supervised framework for patch-based classification of breast cancer." Scientific Reports 12, no. 1 (2022): 1-15. link
K. Viacheslav, K. Voormansik, R. Elshawi, and S. Sakr. "Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region." Scientific Reports 12, no. 1 (2022): 1-15.[https://www.nature.com/articles/s41598-022-04932-6.pdf |link]
R. El Shawi, H. Lekunze , S. Sakr. cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. IEEE BigData 2021. link
R. ElShawi, Y. Sherif, M. Al‐Mallah, S. Sakr. Interpretability in healthcare: A comparative study of local machine learning interpretability techniques. Computational Intelligence. 2021 Nov;37(4):1633-50. link
R. Elshawi, A. Wahab, Barnawi, S. Sakr. DLBench: a comprehensive experimental evaluation of deep learning frameworks. Cluster Computing. 2021 Feb 7:1-22. link
R. El Shawi, Y. Sherif, S. Sakr. Towards Automated Concept-based Decision TreeExplanations for CNNs. In EDBT 2021 (pp. 379-384). link
A. Abd Elrahman, M. El Helw, R. Elshawi, S. Sakr. D-SmartML: A Distributed Automated Machine Learning Framework. In2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS) 2020 Nov 1 (pp. 1215-1218). link
H Eldeeb, S. Amashukeli, R. Elshawi. An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline. InInternational Conference on Pattern Recognition 2021 Jan 10 (pp. 336-344). Springer, Cham. link
S. Amashukeli, R. Elshawi, S. Sakr. iSmartML: An Interactive and User-Guided Framework for Automated Machine Learning. In HILDA 2020 : Workshop on Human-In-the-Loop Data Analytics.link
R. Elshawi, MH Al-Mallah, S. Sakr. On the interpretability of machine learning-based model for predicting hypertension. BMC medical informatics and decision making. 2019 Dec;19(1):1-32. link
S. Dyrmishi, R. Elshawi, S. Sakr. A decision support framework for automl systems: A meta-learning approach. In 2019 International Conference on Data Mining Workshops (ICDMW) 2019 Nov 8 (pp. 97-106). IEEE. link
R. ElShawi, Y Sherif, M. Al-Mallah, S. Sakr. ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. InEuropean Conference on Advances in Databases and Information Systems 2019 Sep 8 (pp. 53-68). Springer, Cham. link
TA. Daghistani, R. Elshawi, S. Sakr, A. Ahmed, A. Al-Thwayee ,MH. Al-Mallah. Predictors of in-hospital length of stay among cardiac patients: A machine learning approach. International journal of cardiology. 2019 Aug 1;288:140-7. link
N. Mahmoud, Essam Y, R. Elshawi, S. Sakr . DLBench: an experimental evaluation of deep learning frameworks. In 2019 IEEE International Congress on Big Data (BigDataCongress) 2019 Jul 8 (pp. 149-156). link
R. Elshawi, S. Sakr. Automated Machine Learning: Techniques and Frameworks. InEuropean Big Data Management and Analytics Summer School 2019 Jun 30 (pp. 40-69). Springer, Cham. link
R. Elshawi, M. Maher, S. Sakr. Automated machine learning: State-of-the-art and open challenges. arXiv preprint arXiv:1906.02287. 2019 Jun 5. link
R. El Shawi, M. Al-Mallah, S. Sakr. Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques. In2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) 2019 Jun 1 (pp. 275-280). IEEE Computer Society. link
R. Elshawi, S. Sakr, D. Talia, P. Trunfio. Big data systems meet machine learning challenges: towards big data science as a service. Big data research. 2018 Dec 1;14:1-1. link
S. Sakr, R. Elshawi, A. Ahmed, WT Qureshi, C Brawner, S Keteyian, MJ Blaha, MH Al-Mallah. Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project. PLoS One. 2018 Apr 18;13(4):e0195344. link
R. Elshawi, A. Aldhabaan, & S. Sakr (2018). DECLARATIVE STACK FOR DISTRIBUTED GRAPH PROCESSING. Journal of Theoretical & Applied Information Technology, 96(4). link
S. Sakr, R. Elshawi, A. Ahmed, W. Qureshi, C. Brawner, S. Keteyian, M. Blaha, M. Al-Mallah. "Comparison of Machine Learning Techniques to Predict All-Cause Mortality using Fitness Data: The Henry Ford ExercIse Testing (FIT) Project". BMC Medical Informatics and Decision Making, 2017. link
M. Al-Mallah, R. Elshawi, A. Ahmed, W. Qureshi, C. Brawner, M. Blaha, H. Ahmed, J. Ehrman, S. Keteyian, S. Sakr. "Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality: The FIT (Henry Ford ExercIse Testing) Project". American Journal of Cardiology, 2017. link
M. Al-Mallah, A. Ahmed, W. Qureshi, R. Elshawi, C. Brawner, M. Blahaa, H. Ahmed, J. Ehrmana, S. Keteyiana, S. Sakr. "Using Machine Learning To Define The Association Between Cardiorespiartory Fitness And All-Cause Mortality: The FIT (Henry Ford Exercise Testing) Project". Journal of American College of Cardiology (JACC), 2017. link
M. Al-khateeb, W. Qurashi, R. Odeh, A. Ahmed, S. Sakr, R. Elshawi, M. Bdier, M. Al-Mallah. "The Impact of Digoxin on Mortality in patients with Chronic Systolic Heart Failure: A Propensity – Matched Cohort Study". International Journal of Cardiology, Elsevier, 2017. link
Abdullah Al-Barakati, Ahmed Barnawi, Fuad Bajaber, Abdullah Almalais, Seyed Buhari, R. ElShawi. "A Framework of Improving Business Process Execution Using Social Artifacts.". Journal of Theoretical and Applied Information Technology, 2017. link
F. Bajaber, R. El Shawi, O. Batarfi, A. Altalhi, A. Barnawi, S. Sakr. "Big Data 2.0 Processing Systems: Taxonomy and Open Challenges". Journal of Grid Computing, 2016. link
O. Batarfi, R. Elshawi, A. Fayoumi, A. Barnawi, S. Sakr. "DG-SPARQL: A Distributed Query Execution Engine of Big Attributed Graphs". SpringerPlus Journal, Springer, 2016. link
A. Barnawi, A. Awad, A. Elgammal, R. Elshawi, A. Almalaise, S. Sakr. "An Anti- Pattern-based Runtime Business Process Compliance Monitoring Framework". International Journal of Advanced Computer Science and Applications (IJACSA) 7(2), The Science and Information (SAI) Organization, 2016. link
Fuad Bajaber, Amin Shafaat, Omar Batarfi, R. Elshawi, Abdulrahman Altalhi, Ahmed Barnawi, Sherif Sakr. "A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process". International Journal of Advanced Computer Science and Applications (IJACSA) 7(2), The Science and Information (SAI) Organization, 2016. link
R. Elshawi, S. Sakr. "International conferences on computer systems: A Decade Analysis". COLLNET Journal of Scientometrics and Information Management, CRC Press, 2016. link
R. Elshawi, S. Sakr. "On Analyzing the Impact of Authors and Their Collaboration Patterns in the Major Computer Algorithms Research Conferences". COLLNET Journal of Scientometrics and Information Management, CRC Press, 2016. link
O. Batarfi, R. Elshawi, A. Fayoumi, R. Nouri, S. Beheshti, A. Barnawi, S. Sakr. "Large Scale Graph Processing Systems: Survey and An Experimental Evaluation". Cluster Computing, Springer 18(3), 2015. link
A. Barnawi, A. Awad, A. Elgammal, R. El Shawi, A. Almalaise, S. Sakr. "Runtime selfmonitoring approach of business process compliance in cloud environments". Cluster Computing, 2015. link
F. Bajaber, S. Sakr O. Batarfi, A. Altalhi, R. Elshawi, A. Barnawi. "Big Data Processing Systems: State-of-the-art and Open Challenges". Proceedings of the International Conference on Cloud Computing (ICCC), 2015. link
R. Elshawi, O. Batarfi, A. Fayoumi, A. Barnawi, S. Sakr. "Big Graph Processing Systems: State-of-the-art and Open Challenges". Proceedings of the IEEE BigDataService, 2015. link
A. Awad, A. Barnawi, A. Algammal, A. Almalaise, R. Elshawi, S. Sakr. "Runtime Detection of Business Process Compliance Violations: An Approach based on Anti Patterns". Proceedings of the 30th ACM/SIGAPP Symposium On Applied Computing Enterprise Engineering Track, 2015. link
A. Barnawi, O. Batarfi, S. Behteshi, R. Elshawi, A. Fayoumi, R. Nouri, S. Sakr. "On Characterizing the Performance of Distributed Graph Computation Platforms". Proceedings of the 6th TPC Technology Conference on Performance Evaluation and Benchmarking, 2014. link
Radwa El Shawi, Joachim Gudmundsson, Christos Levcopoulos. "Quickest path queries on transportation network". Journal of Computational Geometry: Theory and Application, 2014. link
Radwa El Shawi, Sherif Sakr. "An Overview of Large-Scale Stream Processing Engines". Large Scale and Big Data, 2014.
Otfried Cheong, Radwa El Shawi, Joachim Gudmundsson. "A fast algorithm for data collection along a fixed track". Journal of Theoretical Computer Science, 2013. link
Otfried Cheong, Radwa El Shawi, Joachim Gudmundsson. "A fast algorithm for data collection along a fixed track". Proceedings of the 19th Annual International Computing and Combinatorics Conference (COCOON), 2013. link
Radwa El Shawi. "Path Queries and Data Collection in Geometric Networks". Ph.D. thesis, Faculty of Engineering and Information Technology, Sydney University, Sydney, Australia, 2013.
Radwa El Shawi, Joachim Gudmundsson. "Fast query structures in anisotropic media". Journal of Theoretical Computer Science, 2013. link
Radwa El Shawi, Joachim Gudmundsson. "Quickest Path Queries in Anisotropic Media". Proceedings of the 5th Annual International Conference on Combinatorial Optimization and Applications Conference, 2011. link
Radwa El Shawi, Joachim Gudmundsson, Christos Levcopoulos. "Quickest Path Queries in Transportation Network". 18th CATS symposium (Computing: the Australasian Theory Symposium), 2012. link
Radwa El Shawi, Joachim Gudmundsson. "Shortest path in transportation network and weighted subdivision". Book chapter In "Graph Data Management: Techniques and Applications". IDEA Group Publishing, 2011. link
Radwa El Shawi, Xiangjian He. "An Efficient Algorithm for Image Retrieval through Fusion of Two Clustering Approaches Based on Combined Features". Image and Vision Computing New Zealand (IVCNZ07), IEEE Digital Library, 2008. link
Radwa El Shawi. "Content Based image Clustering and Retrieval". Master thesis, Faculty of Computer Engineering, Arab Academy for Science and Technology and Maritime Transport, Cairo, Egypt, 2008.
Radwa M. El-Shawi, Walid M. Fakhr, Gamal Selim. "Combined feature extraction approaches for image clustering". Proceedings of the 7th International Conference On Informatics, November 2008.
Radwa M. El-Shawi, Walid M. Fakhr, Gamal Selim. "Clustering Based Approach for Efficient Image Retrieval using Combined Features and Decision Fusion". Proceedings of the 8th International Conference On Informatics, November 2007.