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Radwa El Shawi
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2020 – today
- 2025
- [j17]Radwa El Shawi
, Mohamadjavad Bahmani, Sherif Sakr:
To tune or not to tune? An approach for recommending important hyperparameters for classification and clustering algorithms. Future Gener. Comput. Syst. 163: 107524 (2025) - 2024
- [j16]Radwa El Shawi:
ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks. Cogn. Comput. 16(5): 2660-2673 (2024) - [j15]Hassan Eldeeb
AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks. Expert Syst. Appl. 243: 122877 (2024) - [c23]Esraa Sayed, Mohamed Maher, Omar Sedeek, Ahmed Eldamaty, Amr Kamel, Radwa El Shawi:
GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting. EDBT 2024: 830-833 - [i6]Michal Tkác, Jakub Sieber, Lara Kuhlmann
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept. CoRR abs/2401.16291 (2024) - 2023
- [c22]Radwa El Shawi
OnlineAutoClust: A Framework for Online Automated Clustering. CIKM 2023: 3870-3874 - [c21]Radwa El Shawi, Mouaz H. Al-Mallah:
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract). IJCAI 2023: 6873-6877 - 2022
- [j14]Radwa El Shawi, Mouaz H. Al-Mallah:
Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality. J. Artif. Intell. Res. 75: 833-855 (2022) - [c20]Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. IEEE Big Data 2022: 515-524 - [c19]Radwa El Shawi, Sherif Sakr:
cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. ICDM (Workshops) 2022: 47-54 - [c18]Radwa El Shawi, Sherif Sakr:
TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. ICDM (Workshops) 2022: 1144-1153 - [i5]Hassan Eldeeb, Mohamed Maher, Oleh Matsuk, Abdelrahman Aldallal, Radwa El Shawi, Sherif Sakr:
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks. CoRR abs/2204.08358 (2022) - 2021
- [j13]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques. Comput. Intell. 37(4): 1633-1650 (2021) - [j12]Radwa El Shawi, Abdul Wahab, Ahmed Barnawi, Sherif Sakr
DLBench: a comprehensive experimental evaluation of deep learning frameworks. Clust. Comput. 24(3): 2017-2038 (2021) - [c17]Radwa El Shawi, Hudson Lekunze, Sherif Sakr:
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. IEEE BigData 2021: 1119-1126 - [c16]Radwa El Shawi, Youssef Sherif, Sherif Sakr:
Towards Automated Concept-based Decision TreeExplanations for CNNs. EDBT 2021: 379-384 - [c15]Radwa El Shawi, Stefania Tomasiello, Henri Liiva:
Research perspective: the role of automated machine learning in fuzzy logic. WILF 2021 - [i4]Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan, Sherif Sakr:
To tune or not to tune? An Approach for Recommending Important Hyperparameters. CoRR abs/2108.13066 (2021) - 2020
- [c14]Ahmed Abd Elrahman, Mohamed ElHelw, Radwa El Shawi, Sherif Sakr:
D-SmartML: A Distributed Automated Machine Learning Framework. ICDCS 2020: 1215-1218 - [c13]Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline. ICPR Workshops (4) 2020: 336-344
2010 – 2019
- 2019
- [j11]Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise
Correction to: Runtime self-monitoring approach of business process compliance in cloud environments. Clust. Comput. 22(Suppl 1): 2541 (2019) - [j10]Radwa El Shawi, Mouaz H. Al-Mallah
On the interpretability of machine learning-based model for predicting hypertension. BMC Medical Informatics Decis. Mak. 19(1): 146:1-146:32 (2019) - [c12]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah
ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. ADBIS 2019: 53-68 - [c11]Nesma Mahmoud, Youssef Essam, Radwa El Shawi, Sherif Sakr:
DLBench: An Experimental Evaluation of Deep Learning Frameworks. BigData Congress 2019: 149-156 - [c10]Radwa El Shawi, Youssef Sherif, Mouaz H. Al-Mallah
Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques. CBMS 2019: 275-280 - [c9]Radwa El Shawi, Sherif Sakr:
Automated Machine Learning: Techniques and Frameworks. eBISS 2019: 40-69 - [c8]Salijona Dyrmishi
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. ICDM Workshops 2019: 97-106 - [i3]Radwa El Shawi, Mohamed Maher, Sherif Sakr:
Automated Machine Learning: State-of-The-Art and Open Challenges. CoRR abs/1906.02287 (2019) - 2018
- [j9]Radwa El Shawi, Sherif Sakr, Domenico Talia
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. Big Data Res. 14: 1-11 (2018) - [j8]Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi
Correction To: Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 21(2): 1455 (2018) - 2017
- [j7]Sherif Sakr
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. BMC Medical Informatics Decis. Mak. 17(1): 174:1-174:15 (2017) - [i2]Radwa El Shawi, Sherif Sakr:
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. CoRR abs/1709.07493 (2017) - 2016
- [j6]Fuad Bajaber, Radwa El Shawi, Omar Batarfi, Abdulrahman H. Altalhi, Ahmed Barnawi, Sherif Sakr
Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. J. Grid Comput. 14(3): 379-405 (2016) - 2015
- [j5]Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi
Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 18(3): 1189-1213 (2015) - [j4]Ahmed Barnawi, Ahmed Awad
Runtime self-monitoring approach of business process compliance in cloud environments. Clust. Comput. 18(4): 1503-1526 (2015) - [c7]Radwa El Shawi, Omar Batarfi, Ayman G. Fayoumi
Big Graph Processing Systems: State-of-the-Art and Open Challenges. BigDataService 2015: 24-33 - [c6]Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa El Shawi, Abduallah Almalaise, Sherif Sakr:
BP-MaaS: A Runtime Compliance-Monitoring System for Business Processes. BPM (Demos) 2015: 25-29 - [c5]Ahmed Awad
Runtime detection of business process compliance violations: an approach based on anti patterns. SAC 2015: 1203-1210 - 2014
- [j3]Radwa El Shawi, Joachim Gudmundsson
Quickest path queries on transportation network. Comput. Geom. 47(7): 695-709 (2014) - [j2]Otfried Cheong
A fast algorithm for data collection along a fixed track. Theor. Comput. Sci. 554: 254-262 (2014) - [c4]Ahmed Barnawi, Omar Batarfi, Amin Beheshti
On Characterizing the Performance of Distributed Graph Computation Platforms. TPCTC 2014: 29-43 - [p2]Radwa El Shawi, Sherif Sakr:
An Overview of Large-Scale Stream Processing Engines. Large Scale and Big Data 2014: 389-408 - 2013
- [j1]Radwa El Shawi, Joachim Gudmundsson
Fast query structures in anisotropic media. Theor. Comput. Sci. 497: 112-122 (2013) - [c3]Otfried Cheong, Radwa El Shawi, Joachim Gudmundsson
A Fast Algorithm for Data Collection along a Fixed Track. COCOON 2013: 77-88 - 2012
- [c2]Radwa El Shawi, Joachim Gudmundsson, Christos Levcopoulos:
Quickest Path Queries on Transportation Network. CATS 2012: 37-46 - 2011
- [c1]Radwa El Shawi, Joachim Gudmundsson
Quickest Paths in Anisotropic Media. COCOA 2011: 247-261 - [p1]Radwa El Shawi, Joachim Gudmundsson:
Shortest Path in Transportation Network and Weighted Subdivisions. Graph Data Management 2011: 463-474 - 2010
- [i1]Radwa El Shawi, Joachim Gudmundsson, Christos Levcopoulos:
Quickest Path Queries on Transportation Network. CoRR abs/1012.0634 (2010)
Coauthor Index
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