D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments

15 October 2022

Papers citing "D.MCA: Outlier Detection with Explicit Micro-Cluster Assignments"

8 / 8 papers shown

Title
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution Xueying Ding Lingxiao Zhao Leman Akoglu OODD 60 22 0 15 Jun 2022
Sparx: Distributed Outlier Detection at Scale Sean Zhang V. Ursekar Leman Akoglu 45 7 0 02 Jun 2022
C-AllOut: Catching & Calling Outliers by Type G. D. F. Silva Leman Akoglu R. Cordeiro 32 1 0 13 Oct 2021
gen2Out: Detecting and Ranking Generalized Anomalies Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos T. Hutson L. Iasemidis 43 13 0 06 Sep 2021
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 804 0 24 Sep 2020
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,495 0 10 Jan 2019
Explaining Anomalies in Groups with Characterizing Subspace Rules Meghanath Macha Leman Akoglu 37 39 0 20 Aug 2017
Robust Contextual Outlier Detection: Where Context Meets Sparsity Jiongqian Liang Srinivasan Parthasarathy 36 41 0 28 Jul 2016