Radwa Elshawi

发表

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

Sherif Sakr, Mouaz H. Al-Mallah, Steven J. Keteyian, 2017, BMC Medical Informatics and Decision Making.

Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).

S. Keteyian, C. Brawner, J. Ehrman, 2017, The American journal of cardiology.

Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.

M. Al-mallah, S. Sakr, Radwa Elshawi, 2019, International journal of cardiology.

The impact of digoxin on mortality in patients with chronic systolic heart failure: A propensity-matched cohort study.

M. Al-mallah, S. Sakr, Radwa Elshawi, 2017, International journal of cardiology.

cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering

Radwa Elshawi, S. Sakr, Hudson Lekunze, 2021, 2021 IEEE International Conference on Big Data (Big Data).

On the interpretability of machine learning-based model for predicting hypertension

Sherif Sakr, Mouaz H. Al-Mallah, Radwa Elshawi, 2019, BMC Medical Informatics and Decision Making.

A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process

Sherif Sakr, Abdulrahman H. Altalhi, Fuad Bajaber, 2016 .

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

Sherif Sakr, Steven Keteyian, Clinton Brawner, 2018, PloS one.

Big Data Processing Systems: State-of-the-Art and Open Challenges

Sherif Sakr, Fuad Bajaber, Ahmed Barnawi, 2015, 2015 International Conference on Cloud Computing (ICCC).

On Analyzing the Impact of Authors and Their Collaboration Patterns in the Major Computer Algorithms Research Conferences

Sherif Sakr, Radwa Elshawi, Radwa Elshawi, 2016 .

A distributed query execution engine of big attributed graphs

Sherif Sakr, Ahmed Barnawi, Omar Batarfi, 2016, SpringerPlus.

DLBench: a comprehensive experimental evaluation of deep learning frameworks

Sherif Sakr, Ahmed Barnawi, Radwa El Shawi, 2021, Cluster Computing.

Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region

S. Sakr, Radwa Elshawi, Viacheslav Komisarenko, 2022, Scientific reports.

International conferences on computer system: Analysis of EuroSys, SOSP, and OSDI during 2006-2014

Sherif Sakr, Radwa Elshawi, Radwa Elshawi, 2016 .

iSmartML: An Interactive and User-Guided Framework for Automated Machine Learning

Radwa Elshawi, S. Sakr, S. Amashukeli, 2020 .

An Anti-Pattern-based Runtime Business Process Compliance Monitoring Framework

Sherif Sakr, Ahmed Awad, Amal Elgammal, 2016 .

FIT calculator: a multi-risk prediction framework for medical outcomes using cardiorespiratory fitness data

S. Keteyian, C. Brawner, J. Ehrman, 2024, Scientific reports.