29 citations · 48 across the 3 of their papers we have counts for
3 papers
Robust online active learning
Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
In many industrial applications, obtaining labeled observations is not straightforward as it often requires the intervention of human experts or the use of expensive testing equipm…
Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders
Davide Cacciarelli, Murat Kulahci, John Tyssedal
Data-driven soft sensors are extensively used in industrial and chemical processes to predict hard-to-measure process variables whose real value is difficult to track during routin…
Stream-based active learning with linear models
Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal
The proliferation of automated data collection schemes and the advances in sensorics are increasing the amount of data we are able to monitor in real-time. However, given the high…