33 citations · 61 across the 8 of their papers we have counts for
4 papers · 1 filter
Ranking Feature-Block Importance in Artificial Multiblock Neural Networks
Anna Jenul, Stefan Schrunner, Bao Ngoc Huynh +4
In artificial neural networks, understanding the contributions of input features on the prediction fosters model explainability and delivers relevant information about the dataset.…
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS)
Anna Jenul, Stefan Schrunner, Jürgen Pilz +1
Feature selection represents a measure to reduce the complexity of high-dimensional datasets and gain insights into the systematic variation in the data. This aspect is of specific…
Principal component-based image segmentation: a new approach to outline in vitro cell colonies
Delmon Arous, Stefan Schrunner, Ingunn Hanson +2
The in vitro clonogenic assay is a technique to study the ability of a cell to form a colony in a culture dish. By optical imaging, dishes with stained colonies can be scanned and…
Towards a General Framework to Embed Advanced Machine Learning in Process Control Systems
Stefan Schrunner, Michael Scheiber, Anna Jenul +3
Since high data volume and complex data formats delivered in modern high-end production environments go beyond the scope of classical process control systems, more advanced tools i…