Shortest Path in Transportation Network and Weighted Subdivisions. - Radwa El Shawi; Joachim Gudmundsson (Graph Data Management, 2011)

Quickest Paths in Anisotropic Media. - Radwa El Shawi; Joachim Gudmundsson (COCOA, 2011)

Fast query structures in anisotropic media. - Radwa El Shawi; Joachim Gudmundsson (Theor. Comput. Sci., 2013)

An Overview of Large-Scale Stream Processing Engines. - Radwa El Shawi; Sherif Sakr (Large Scale and Big Data, 2014)

On Characterizing the Performance of Distributed Graph Computation Platforms. - Ahmed Barnawi; Omar Batarfi; Amin Beheshti; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Sherif Sakr (TPCTC, 2014)

Quickest path queries on transportation network. - Radwa El Shawi; Joachim Gudmundsson; Christos Levcopoulos (Comput. Geom., 2014)

A fast algorithm for data collection along a fixed track. - Otfried Cheong; Radwa El Shawi; Joachim Gudmundsson (Theor. Comput. Sci., 2014)

Big Graph Processing Systems: State-of-the-Art and Open Challenges. - Radwa El Shawi; Omar Batarfi; Ayman G. Fayoumi; Ahmed Barnawi; Sherif Sakr (BigDataService, 2015)

BP-MaaS: A Runtime Compliance-Monitoring System for Business Processes. - Ahmed Barnawi; Ahmed Awad 001; Amal Elgammal; Radwa El Shawi; Abduallah Almalaise; Sherif Sakr (BPM (Demos), 2015)

Runtime detection of business process compliance violations: an approach based on anti patterns. - Ahmed Awad 001; Ahmed Barnawi; Amal Elgammal; Radwa El Shawi; Abduallah Almalaise; Sherif Sakr (SAC, 2015)

Runtime self-monitoring approach of business process compliance in cloud environments. - Ahmed Barnawi; Ahmed Awad 001; Amal Elgammal; Radwa El Shawi; Abduallah Almalaise; Sherif Sakr (Clust. Comput., 2015)

Large scale graph processing systems: survey and an experimental evaluation. - Omar Batarfi; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Amin Beheshti; Ahmed Barnawi; Sherif Sakr (Clust. Comput., 2015)

Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. - Fuad Bajaber; Radwa El Shawi; Omar Batarfi; Abdulrahman H. Altalhi; Ahmed Barnawi; Sherif Sakr (J. Grid Comput., 2016)

Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. - Radwa El Shawi; Sherif Sakr (CoRR, 2017)

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. - Sherif Sakr; Radwa El Shawi; Amjad M. Ahmed; Waqas T. Qureshi; Clinton A. Brawner; Steven J. Keteyian; Michael J. Blaha; Mouaz H. Al-Mallah (BMC Medical Informatics Decis. Mak., 2017)

Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. - Radwa El Shawi; Sherif Sakr; Domenico Talia; Paolo Trunfio (Big Data Res., 2018)

Correction To: Large scale graph processing systems: survey and an experimental evaluation. - Omar Batarfi; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Amin Beheshti; Ahmed Barnawi; Sherif Sakr (Clust. Comput., 2018)

ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. - Radwa El Shawi; Youssef Sherif; Mouaz H. Al-Mallah; Sherif Sakr (ADBIS, 2019)

DLBench: An Experimental Evaluation of Deep Learning Frameworks. - Nesma Mahmoud; Youssef Essam; Radwa El Shawi; Sherif Sakr (BigData Congress, 2019)

Automated Machine Learning: Techniques and Frameworks. - Radwa El Shawi; Sherif Sakr (eBISS, 2019)

A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. - Salijona Dyrmishi; Radwa El Shawi; Sherif Sakr (ICDM Workshops, 2019)

Correction to: Runtime self-monitoring approach of business process compliance in cloud environments. - Ahmed Barnawi; Ahmed Awad 001; Amal Elgammal; Radwa El Shawi; Abduallah Almalaise; Sherif Sakr (Clust. Comput., 2019)

Automated Machine Learning: State-of-The-Art and Open Challenges. - Radwa El Shawi; Mohamed Maher; Sherif Sakr (CoRR, 2019)

On the interpretability of machine learning-based model for predicting hypertension. - Radwa El Shawi; Mouaz H. Al-Mallah; Sherif Sakr (BMC Medical Informatics Decis. Mak., 2019)

D-SmartML: A Distributed Automated Machine Learning Framework. - Ahmed Abd Elrahman; Mohamed ElHelw; Radwa El Shawi; Sherif Sakr (ICDCS, 2020)

An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline. - Hassan Eldeeb; Shota Amashukeli; Radwa El Shawi (ICPR Workshops (4), 2020)

cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. - Radwa El Shawi; Hudson Lekunze; Sherif Sakr (IEEE BigData, 2021)

Towards Automated Concept-based Decision TreeExplanations for CNNs. - Radwa El Shawi; Youssef Sherif; Sherif Sakr (EDBT, 2021)

Research perspective: the role of automated machine learning in fuzzy logic. - Radwa El Shawi; Stefania Tomasiello; Henri Liiva (WILF, 2021)

Interpretability in healthcare: A comparative study of local machine learning interpretability techniques. - Radwa El Shawi; Youssef Sherif; Mouaz H. Al-Mallah; Sherif Sakr (Comput. Intell., 2021)

DLBench: a comprehensive experimental evaluation of deep learning frameworks. - Radwa El Shawi; Abdul Wahab; Ahmed Barnawi; Sherif Sakr (Clust. Comput., 2021)

To tune or not to tune? An Approach for Recommending Important Hyperparameters. - Mohamadjavad Bahmani; Radwa El Shawi; Nshan Potikyan; Sherif Sakr (CoRR, 2021)

BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. - Hassan Eldeeb; Shota Amashukeli; Radwa El Shawi (IEEE Big Data, 2022)

cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. - Radwa El Shawi; Sherif Sakr (ICDM (Workshops), 2022)

TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. - Radwa El Shawi; Sherif Sakr (ICDM (Workshops), 2022)

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks. - Hassan Eldeeb; Mohamed Maher; Oleh Matsuk; Abdelrahman Aldallal; Radwa El Shawi; Sherif Sakr (CoRR, 2022)

Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality. - Radwa El Shawi; Mouaz H. Al-Mallah (J. Artif. Intell. Res., 2022)

OnlineAutoClust: A Framework for Online Automated Clustering. - Radwa El Shawi; Dmitri Rozgonjuk (CIKM, 2023)

Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract). - Radwa El Shawi; Mouaz H. Al-Mallah (IJCAI, 2023)

GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting. - Esraa Sayed; Mohamed Maher; Omar Sedeek; Ahmed Eldamaty; Amr Kamel; Radwa El Shawi (EDBT, 2024)

MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept. - Michal Tkác; Jakub Sieber; Lara Kuhlmann; Matthias Brueggenolte; Alexandru Rinciog; Michael Henke 004; Artur M. Schweidtmann; Qinghe Gao; Maximilian F. Theisen; Radwa El Shawi (CoRR, 2024)

AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks. - Hassan Eldeeb; Mohamed Maher; Radwa El Shawi; Sherif Sakr (Expert Syst. Appl., 2024)

ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks. - Radwa El Shawi (Cogn. Comput., 2024)

ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks. - Mohamed Maher; Reem Ayman; Sondos Akram; Omar Marie; Radwa El Shawi (AIME (2), 2025)

FedForecaster: An Automated Federated Learning Approach for Time-series Forecasting. - Mohamed Maher; Osama Fayez Oun; Mahmoud Saeed Mesmeh; Radwa El Shawi (EDBT, 2025)

Automated Machine Learning for Ex-ante Life Cycle Assessment of Barley Production. - Radwa El Shawi; Stefania Tomasiello; Evelin Loit; Ayhan Gökçe; Virmantas Povilaitis; Stefan Shilev (EDBT/ICDT Workshops, 2025)

Context-Aware AutoML for Accurate Wheat Disease Detection. - Muhammad Uzair; Radwa El Shawi; Stefania Tomasiello (EDBT/ICDT Workshops, 2025)

Zero-Shot Machine Unlearning Using Generative Adversarial Network. - Ali Ghazal; Radwa El Shawi (PAKDD (4), 2025)

AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter Search. - Radwa El Shawi (PAKDD (2), 2025)

To tune or not to tune? An approach for recommending important hyperparameters for classification and clustering algorithms. - Radwa El Shawi; Mohamadjavad Bahmani; Sherif Sakr (Future Gener. Comput. Syst., 2025)

Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoML. - Hassan Eldeeb; Radwa Elshawi (IEEE Trans. Artif. Intell., 2025)

Optimizing stock price forecasting: a hybrid approach using fuzziness and automated machine learning. - Jan Timko; Radwa El Shawi; Stefania Tomasiello (Expert Syst. Appl., 2026)