157 citations · 350 across the 11 of their papers we have counts for
11 papers
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks
Hassan Eldeeb, Mohamed Maher, Radwa Elshawi +1
With the booming demand for machine learning applications, it has been recognized that the number of knowledgeable data scientists can not scale with the growing data volumes and a…
To tune or not to tune? An Approach for Recommending Important Hyperparameters
Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan +1
Novel technologies in automated machine learning ease the complexity of algorithm selection and hyperparameter optimization. Hyperparameters are important for machine learning mode…
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…
Graph Generators: State of the Art and Open Challenges
Angela Bonifati, Irena Holubová, Arnau Prat-Pérez +1
The abundance of interconnected data has fueled the design and implementation of graph generators reproducing real-world linking properties, or gauging the effectiveness of graph a…
Automated Machine Learning: State-of-The-Art and Open Challenges
Radwa Elshawi, Mohamed Maher, Sherif Sakr
With the continuous and vast increase in the amount of data in our digital world, it has been acknowledged that the number of knowledgeable data scientists can not scale to address…
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
Radwa Elshawi, Sherif Sakr
Recently, we have been witnessing huge advancements in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to exploit modern…