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List of works by Sherif Sakr

A First Step Towards a Streaming Linked Data Life-Cycle

scientific article published in 2020

A distributed query execution engine of big attributed graphs.

scientific article published on 23 May 2016

Bootstrapping the Publication of Linked Data Streams

scientific article published in proceedings of the iswc 2019 satellite tracks (posters & demonstrations, industry, and outrageous ideas)

Cardiorespiratory fitness and incident heart failure: The Henry Ford ExercIse Testing (FIT) Project

scientific article

Comparing Schema Advancements for Distributed RDF Querying Using SparkSQL

scientific article published in proceedings of the iswc 2020 demos and industry tracks: from novel ideas to industrial practice

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

scientific article published on 19 December 2017

D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine

scientific article published in proceedings of the iswc 2013 posters & demonstrations track

Higher Fitness Is Strongly Protective in Patients with Family History of Heart Disease: The FIT Project

scientific article published on 14 October 2016

Modeling performance of a parallel streaming engine

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

scientific article published on 29 July 2019

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

scientific article

RDF Data Storage and Query Processing Schemes

scientific article published on 06 September 2018

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

scientific article published on 09 November 2016

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

scientific article published on 30 August 2017

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

scientific article published on 18 April 2018

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