Big data 2.0 processing systems: a survey

por Sakr, Sherif
Publicado 2016

Large scale and big data: processing and management

por Sakr, Sherif, Gaber, Mohamed
Publicado 2014

Handbook of big data technologies

por Sakr, Sherif, Zomaya, Albert Y
Publicado 2017

An interpretable semi-supervised framework for patch-based classification of breast cancer

por Shawi, Radwa El, Kilanava, Khatia, Sakr, Sherif
Publicado 2022

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

Large-scale graph processing using Apache Giraph

por Sakr, Sherif, Orakzai, Faisal Moeen, Abdelaziz, Ibrahim, Khayyat, Zuhair
Publicado 2017

A distributed query execution engine of big attributed graphs

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

Linked data: storing, querying, and reasoning

por Sakr, Sherif, Wylot, Marcin, Mutharaju, Raghava, Le Phuoc, Danh, Fundulaki, Irini
Publicado 2018

Transactions on large-scale data- and knowledge-centered systems XXXV

por Hameurlain, Abdelkader, Küng, Josef, Wagner, Roland, Sakr, Sherif, Razzak, Imran, Riyad, Alshammari
Publicado 2017

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

por Alghamdi, Manal, Al-Mallah, Mouaz, Keteyian, Steven, Brawner, Clinton, Ehrman, Jonathan, Sakr, Sherif
Publicado 2017

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

Process analytics: concepts and techniques for querying and analyzing process data

por Beheshti, Seyed-Mehdi-Reza, Benatallah, Boualem, Sakr, Sherif, Grigori, Daniela, Motahari-Nezhad, Hamid Reza, Barukh, Moshe Chai, Gater, Ahmed, Ryu, Seung Hwan
Publicado 2016

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