5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
Michal Tkáč, Jakub Sieber, Lara Kuhlmann +7
Machine Learning (ML) techniques are encountered nowadays across disciplines, from social sciences, through natural sciences to engineering. The broad application of ML and the acc…
cs.LG2021★ 5 cited
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…
cs.DB2017
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…