Search Results for author:
Found 3 papers, 2 papers with code
A Probabilistic Transformation of Distance-Based Outliers
We describe a generic transformation of distance-based outlier scores into interpretable, probabilistic estimates.
Ranked #41 on
Anomaly Detection
on MVTec AD
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
Additionally, it provides a standardized, yet flexible, interface for future outlier detection algorithms and allows for model composition unseen in previous packages.
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
The data-driven knowledge discovery framework provides an orderly partition of the data-mining processes to ensure the practical implementation of data analytics and machine learning models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
