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20192024
most citedELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

23 citations · 33 across the 7 of their papers we have counts for

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6 papers · 1 filter

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…

cs.LG2023★ 6 cited

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.LG2021

Detecting Wandering Behavior of People with Dementia

Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke +2

Wandering is a problematic behavior in people with dementia that can lead to dangerous situations. To alleviate this problem we design an approach for the real-time automatic detec…

cs.LG2021

XPROAX-Local explanations for text classification with progressive neighborhood approximation

Yi Cai, Arthur Zimek, Eirini Ntoutsi

The importance of the neighborhood for training a local surrogate model to approximate the local decision boundary of a black box classifier has been already highlighted in the lit…

cs.LG2019★ 4 cited

Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation

Ruben Becker, Imane Hafnaoui, Michael E. Houle +2

Axis-aligned subspace clustering generally entails searching through enormous numbers of subspaces (feature combinations) and evaluation of cluster quality within each subspace. In…

cs.LG2019★ 23 cited

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

Erich Schubert, Arthur Zimek

This paper documents the release of the ELKI data mining framework, version 0.7.5. ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is resear…