3 papers
cs.LG2026
Towards Truly Unsupervised Evaluation of Feature Selection
Hafiz Saud Arshad, Muhammad Rajabinasab, Arthur Zimek
Feature selection is one of the most important and fundamental tasks in data mining, tackled by a family of methods with an established set of evaluation techniques to measure the…
cs.LG2025
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data
Tobias Hyrup, Anton Danholt Lautrup, Arthur Zimek +1
Data sharing is a necessity for innovative progress in many domains, especially in healthcare. However, the ability to share data is hindered by regulations protecting the privacy…
cs.LG2024
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello +4
We present a nonparametric method for outlier detection that takes full account of local variations in intrinsic dimensionality within the dataset. Using the theory of Local Intrin…