Name
Papers
Collaborators
SHERIF SAKR
131
206
Citations 
PageRank 
Referers 
901
68.86
1991
Referees 
References 
2995
1920
Search Limit
1001000
Title
Citations
PageRank
Year
The impact of Auto-Sklearn's Learning Settings - Meta-learning, Ensembling, Time Budget, and Search Space Size.00.342021
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering00.342021
Sddm: An Interpretable Statistical Concept Drift Detection Method For Data Streams00.342021
The future is big graphs: a community view on graph processing systems10.402021
Towards Automated Concept-based Decision TreeExplanations for CNNs.00.342021
The Kaiju project: enabling event-driven observability00.342020
Towards making sense of Spark-SQL performance for processing vast distributed RDF datasets00.342020
Graph Generators: State of the Art and Open Challenges20.412020
Comparing Schema Advancements for Distributed RDF Querying Using SparkSQL.00.342020
DISGD - A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems.00.342020
Process Mining over Unordered Event Streams00.342020
AutoDLCon: An Approach for Controlling the Automated Tuning for Deep Learning Networks00.342020
Big SQL systems: an experimental evaluation00.342019
Bootstrapping the Publication of Linked Data Streams.00.342019
MINARET - A Recommendation Framework for Scientific Reviewers.00.342019
LDLCT An Instance-Based Framework for Lesion Detection on Lung CT Scans00.342019
Calculation of Average Road Speed Based on Car-to-Car Messaging.00.342019
Automated Machine Learning: State-of-The-Art and Open Challenges.00.342019
An Outlook to Declarative Languages for Big Steaming Data00.342019
D ^2 2 IA: Stream Analytics on User-Defined Event Intervals.00.342019
On the interpretability of machine learning-based model for predicting hypertension.50.512019
Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends.00.342019
Early prediction of diabetes by applying data mining techniques.00.342019
Adaptive Watermarks - A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams.10.362019
Editorial for Special issue of FGCS special issue on "Benchmarking big data systems".00.342019
SmartML - A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms.10.352019
Big Stream Processing Systems: An Experimental Evaluation00.342019
Automated Machine Learning - Techniques and Frameworks.00.342019
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach00.342019
DLBench: An Experimental Evaluation of Deep Learning Frameworks00.342019
Correction to: Runtime self-monitoring approach of business process compliance in cloud environments00.342019
HDM: A Composable Framework for Big Data Processing.00.342018
Dagstuhl Seminar on Big Stream Processing00.342018
Correction To: Large scale graph processing systems: survey and an experimental evaluation00.342018
Correction To: Large scale graph processing systems: survey and an experimental evaluation00.342018
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service.40.492018
A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds.20.382018
Editorial for Special Issue of Journal of Big Data Research on “Big Medical/Healthcare Data Analytics”00.342018
Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone00.342018
Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap.10.362018
Big Stream Processing Systems (Dagstuhl Seminar 17441).00.342017
Towards Big Data Analytics across Multiple Clusters.00.342017
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.10.362017
On business process monitoring using cross-flow coordination.10.362017
Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services.160.682016
Network-based social coordination of business processes.70.552016
Building Pipelines for Heterogeneous Execution Environments for Big Data Processing.90.512016
Big Data 2.0 Processing Systems: Taxonomy and Open Challenges.150.602016
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication.110.532015
Large scale graph processing systems: survey and an experimental evaluation170.622015
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