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

por Elshawi, Radwa, Al-Mallah, Mouaz H., Sakr, Sherif
Publicado 2019

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

por Komisarenko, Viacheslav, Voormansik, Kaupo, Elshawi, Radwa, Sakr, Sherif
Publicado 2022

A distributed query execution engine of big attributed graphs

por Batarfi, Omar, Elshawi, Radwa, Fayoumi, Ayman, Barnawi, Ahmed, Sakr, Sherif
Publicado 2016

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

por Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad, Qureshi, Waqas T., Brawner, Clinton, Keteyian, Steven, Blaha, Michael J., Al-Mallah, Mouaz H.
Publicado 2018

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

por Sakr, Sherif, Elshawi, Radwa, Ahmed, Amjad M., Qureshi, Waqas T., Brawner, Clinton A., Keteyian, Steven J., Blaha, Michael J., Al-Mallah, Mouaz H.
Publicado 2017