1 code implementation • 10 Jan 2024 • Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Miloš Radovanović, Arthur Zimek
We present a nonparametric method for outlier detection that takes full account of local variations in intrinsic dimensionality within the dataset.
no code implementations • 19 Dec 2023 • Tobias Hyrup, Anton Danholt Lautrup, Arthur Zimek, Peter Schneider-Kamp
We study the applicability and usefulness of the CAIR principles and rubric by assessing a selection of metrics popular in other studies.
no code implementations • 11 Feb 2023 • Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
The importance of neighborhood construction in local explanation methods has been already highlighted in the literature.
1 code implementation • 7 Sep 2022 • Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
Hate speech detection is a common downstream application of natural language processing (NLP) in the real world.
no code implementations • 25 Oct 2021 • Nicklas Sindlev Andersen, Marco Chiarandini, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek
Wandering is a problematic behavior in people with dementia that can lead to dangerous situations.
1 code implementation • 30 Sep 2021 • 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 literature.
no code implementations • 15 Jul 2019 • Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek
For each point, the recently-proposed Local Intrinsic Dimension (LID) model is used in identifying the axis directions along which features have the greatest local discriminability, or equivalently, the fewest number of components of LID that capture the local complexity of the data.
1 code implementation • 10 Feb 2019 • Erich Schubert, Arthur Zimek
We will first outline the motivation for this release, the plans for the future, and then give a brief overview over the new functionality in this version.
1 code implementation • VLDB 2015 • Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Zufle, Klaus Arthur Schmid, Arthur Zimek
The challenges associated with handling uncertain data, in particular with querying and mining, are finding increasing attention in the research community.