2 citations · 2 across the 3 of their papers we have counts for
3 papers
DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications
Firas Bayram, Bestoun S. Ahmed, Erik Hallin +1
Data quality assessment has become a prominent component in the successful execution of complex data-driven artificial intelligence (AI) software systems. In practice, real-world a…
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes
Firas Bayram, Bestoun S. Ahmed, Erik Hallin +1
Most industrial processes in real-world manufacturing applications are characterized by the scalability property, which requires an automated strategy to self-adapt machine learnin…
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application
Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin +1
There is often a scarcity of training data for machine learning (ML) classification and regression models in industrial production, especially for time-consuming or sparsely run ma…