3 papers
cs.LG2023
A Probabilistic Transformation of Distance-Based Outliers
David Muhr, Michael Affenzeller, Josef Küng
The scores of distance-based outlier detection methods are difficult to interpret, making it challenging to determine a cut-off threshold between normal and outlier data points wit…
cs.LG2022
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
David Muhr, Michael Affenzeller, Anthony D. Blaom
OutlierDetection.jl is an open-source ecosystem for outlier detection in Julia. It provides a range of high-performance outlier detection algorithms implemented directly in Julia.…
cs.SE2020
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
Shailesh Tripathi, David Muhr, Brunner Manuel +3
The implementation of robust, stable, and user-centered data analytics and machine learning models is confronted by numerous challenges in production and manufacturing. Therefore,…