ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

2 January 2022

Papers citing "ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions"

50 / 76 papers shown

Title
CleanPatrick: A Benchmark for Image Data Cleaning Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Ludovic Amruthalingam ... Philipp Tschandl A. Koochek Matthew Groh Alexander A. Navarini Marc Pouly OOD 24 0 0 16 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 64 0 0 30 Apr 2025
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems Sarad Venugopalan Sridhar Adepu 32 0 0 29 Apr 2025
Unsupervised Surrogate Anomaly Detection Simon Klüttermann Tim Katzke Emmanuel Müller 34 0 0 29 Apr 2025
Possibility for Proactive Anomaly Detection Jinsung Jeon Jaehyeon Park Sewon Park Jeongwhan Choi Minjung Kim Noseong Park AI4TS 32 0 0 15 Apr 2025
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data Jose Cribeiro-Ramallo Federico Matteucci Paul Enciu Alexander Jenke Vadim Arzamasov Thorsten Strufe Klemens Böhm 31 0 0 10 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein N. Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 49 7 0 31 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
Random Similarity Isolation Forests Sebastian Chwilczyñski Dariusz Brzezinski 44 0 0 26 Feb 2025
Feature Explosion: a generic optimization strategy for outlier detection algorithms Qi Li 42 0 0 08 Feb 2025
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection Yang Cao Sikun Yang Chen Li Haolong Xiang Lianyong Qi Bo Liu Rongsheng Li Ming Liu 51 0 0 21 Jan 2025
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation Trenton Chang Lindsay Warrenburg Sae-Hwan Park Ravi B. Parikh Maggie Makar Jenna Wiens 92 1 0 02 Dec 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection Jianan Ye Zhaorui Tan Yijie Hu Xi Yang Guangliang Cheng K. Huang 40 0 0 12 Nov 2024
Towards Unsupervised Validation of Anomaly-Detection Models Lihi Idan 30 0 0 18 Oct 2024
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories Yueyang Liu Lance Kennedy Hossein Amiri Andreas Züfle 24 7 0 27 Sep 2024
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version) Philipp Röchner Henrique O. Marques R. Campello Arthur Zimek Franz Rothlauf 27 0 0 28 Aug 2024
Flexible categorization using formal concept analysis and Dempster-Shafer theory Marcel Boersma Krishna Manoorkar A. Palmigiano Mattia Panettiere Apostolos Tzimoulis N. Wijnberg 16 0 0 23 Aug 2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding Zhonghang Liu Panzhong Lu Guoyang Xie Zhichao Lu Wen-Yan Lin 47 0 0 07 Jul 2024
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms Viet Cuong Nguyen Mini Jain Abhijat Chauhan H. J. Soled Santiago Alvarez Lesmes Zihang Li Michael L. Birnbaum Sunny X. Tang Srijan Kumar M. D. Choudhury AI4MH 32 0 0 02 Jul 2024
The OPS-SAT benchmark for detecting anomalies in satellite telemetry Bogdan Ruszczak Krzysztof Kotowski David Evans Jakub Nalepa 35 1 0 29 Jun 2024
Anomaly Detection of Tabular Data Using LLMs Aodong Li Yunhan Zhao Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 51 9 0 24 Jun 2024
Position-based Rogue Access Point Detection Wenjie Liu Panos Papadimitratos 26 1 0 04 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection Zeyu Fang Ming Gu Sheng Zhou Jiawei Chen Qiaoyu Tan Haishuai Wang Jiajun Bu 45 0 0 01 Jun 2024
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection Junqi Chen Xu Tan S. Rahardja Jiawei Yang S. Rahardja Mamba 44 2 0 30 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection Valentina Zaccaria David Dandolo Chiara Masiero Gian Antonio Susto 37 2 0 02 Mar 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation Neng Kai Nigel Neo Yeon-Chang Lee Yiqiao Jin Sang-Wook Kim Srijan Kumar 41 4 0 25 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences Chen Wang S. Erfani T. Alpcan Christopher Leckie OffRL 38 2 0 07 Feb 2024
Understanding Time Series Anomaly State Detection through One-Class Classification Hanxu Zhou Yuan Zhang Guangjie Leng Ruofan Wang Zhi-Qin John Xu AI4TS 23 0 0 03 Feb 2024
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures Dongwook Kim Juyeon Park Hee Cheol Chung Seonghyun Jeong 28 3 0 01 Jan 2024
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan Fabrice Daniel 27 6 0 21 Dec 2023
Outlier detection using flexible categorisation and interrogative agendas Marcel Boersma Krishna Manoorkar A. Palmigiano Mattia Panettiere Apostolos Tzimoulis N. Wijnberg 32 2 0 19 Dec 2023
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping Hao-Chun Yang Ole A. Andreassen Lars T. Westlye A. Marquand Christian F. Beckmann T. Wolfers 18 1 0 05 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 39 5 0 20 Nov 2023
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials? Walter Nelson Jonathan Ranisau J. Petch OOD 31 1 0 09 Nov 2023
ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 26 14 0 27 Sep 2023
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection Yasir Ali Farrukh S. Wali Irfan Khan Nathaniel D. Bastian 35 6 0 14 Sep 2023
Boundary Peeling: Outlier Detection Method Using One-Class Peeling Sheikh Arafat Na Sun Maria L. Weese Waldyn G. Martinez 21 0 0 11 Sep 2023
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs Guangjie Zeng Hao Peng Angsheng Li Zhiwei Liu Chunyang Liu Philip S. Yu Lifang He 24 7 0 05 Sep 2023
Anomaly detection with semi-supervised classification based on risk estimators L. Hien Sukanya Patra Souhaib Ben Taieb 26 0 0 01 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Yue Liu Bin He Mian Lu 21 1 0 29 Aug 2023
Low-count Time Series Anomaly Detection Philipp Renz Kurt Cutajar Niall Twomey Gavin K. C. Cheung Hanting Xie AI4TS 19 0 0 24 Aug 2023
Adaptive Thresholding Heuristic for KPI Anomaly Detection Ebenezer R. H. P. Isaac Akshat Sharma 23 2 0 21 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach Xing Ai Jialong Zhou Yulin Zhu Gaolei Li Tomasz P. Michalak Xi Luo Kai Zhou 48 1 0 02 Aug 2023
Coupled-Space Attacks against Random-Walk-based Anomaly Detection Y. Lai Marcin Waniek Liying Li Jing-Zheng Wu Yulin Zhu Tomasz P. Michalak Talal Rahwan Kai Zhou AAML 30 0 0 26 Jul 2023
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models Guy Zamberg Moshe Salhov Ofir Lindenbaum Amir Averbuch DiffM 29 3 0 23 Jul 2023
Anomaly Detection with Score Distribution Discrimination Minqi Jiang Songqiao Han Hailiang Huang 34 9 0 26 Jun 2023
OptIForest: Optimal Isolation Forest for Anomaly Detection Haolong Xiang Xuyun Zhang Hongsheng Hu Lianyong Qi Wanchun Dou Mark Dras Amin Beheshti Xiaolong Xu 24 17 0 22 Jun 2023
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines Dezhan Tu Yeye He Weiwei Cui Song Ge Haidong Zhang Shi Han Dong-Yan Zhang S. Chaudhuri 24 5 0 04 Jun 2023
UADB: Unsupervised Anomaly Detection Booster Hangting Ye Zhining Liu Xinyi Shen Wei Cao Shun Zheng Xiaofan Gui Huishuai Zhang Yi Chang Jiang Bian 32 2 0 03 Jun 2023