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ECOD: Unsupervised Outlier Detection Using Empirical Cumulative
  Distribution Functions
v1v2v3 (latest)

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
2 January 2022
Zheng Li
Yue Zhao
Xiyang Hu
N. Botta
C. Ionescu
George H. Chen
ArXiv (abs)PDFHTMLGithub

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

50 / 93 papers shown
Human Motion Intent Inferencing in Teleoperation Through a SINDy Paradigm
Human Motion Intent Inferencing in Teleoperation Through a SINDy Paradigm
Michael Bowman
Xiaoli Zhang
134
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11 Nov 2025
Coordinated Position Falsification Attacks and Countermeasures for Location-Based Services
Coordinated Position Falsification Attacks and Countermeasures for Location-Based ServicesIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Wenjie Liu
Panos Papadimitratos
AAML
122
1
0
31 Oct 2025
Isolation-based Spherical Ensemble Representations for Anomaly Detection
Isolation-based Spherical Ensemble Representations for Anomaly Detection
Yang Cao
Sikun Yang
Hao Tian
Kai He
Lianyong Qi
Ming Liu
Yujiu Yang
137
0
0
15 Oct 2025
Text Anomaly Detection with Simplified Isolation Kernel
Text Anomaly Detection with Simplified Isolation Kernel
Yang Cao
Sikun Yang
Yujiu Yang
Lianyong Qi
Ming Liu
163
2
0
15 Oct 2025
RFOD: Random Forest-based Outlier Detection for Tabular Data
RFOD: Random Forest-based Outlier Detection for Tabular Data
Yihao Ang
Peicheng Yao
Yifan Bao
Yushuo Feng
Qiang Huang
A. Tung
Zhiyong Huang
115
0
0
09 Oct 2025
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
Hangting Ye
Jinmeng Li
He Zhao
Mingchen Zhuge
Dandan Guo
Yi Chang
H. Zha
178
0
0
04 Oct 2025
Clinical Uncertainty Impacts Machine Learning Evaluations
Clinical Uncertainty Impacts Machine Learning Evaluations
Simone Lionetti
Fabian Gröger
Philippe Gottfrois
Alvaro Gonzalez-Jimenez
Ludovic Amruthalingam
Alexander A. Navarini
Marc Pouly
228
0
0
26 Sep 2025
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
Michel Youssef
135
0
0
17 Sep 2025
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Yasaman Samadi
Hai Dong
Xiaoyu Xia
201
1
0
18 Aug 2025
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
Arun Vignesh Malarkkan
Haoyue Bai
Dongjie Wang
Yanjie Fu
199
0
0
13 Aug 2025
Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
Timur Sattarov
Marco Schreyer
Damian Borth
DiffM
217
2
0
01 Aug 2025
Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly Detection and Generation with Diffusion Models: A Survey
Zehua Wang
Jing Liu
Chengfang Li
Rui Xi
W. Li
Liang Cao
Jin Wang
L. Yang
Junsong Yuan
Wei Zhou
DiffMMedIm
331
9
0
11 Jun 2025
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
Yiyun Zhou
Zheqi Lv
Shengyu Zhang
Jingyuan Chen
OffRLKELM
513
8
0
26 May 2025
MR-EEGWaveNet: Multiresolutional EEGWaveNet for Seizure Detection from Long EEG Recordings
MR-EEGWaveNet: Multiresolutional EEGWaveNet for Seizure Detection from Long EEG Recordings
Kazi Mahmudul Hassan
Xuyang Zhao
Hidenori Sugano
Toshihisa Tanaka
197
1
0
23 May 2025
CleanPatrick: A Benchmark for Image Data Cleaning
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
311
2
0
16 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
407
6
0
30 Apr 2025
A Giant-Step Baby-Step Classifier For Scalable and Real-Time Anomaly Detection In Industrial Control Systems and Water Treatment Systems
A Giant-Step Baby-Step Classifier For Scalable and Real-Time Anomaly Detection In Industrial Control Systems and Water Treatment Systems
Sarad Venugopalan
Sridhar Adepu
396
0
0
29 Apr 2025
Unsupervised Surrogate Anomaly Detection
Unsupervised Surrogate Anomaly Detection
Simon Klüttermann
Tim Katzke
Emmanuel Müller
295
3
0
29 Apr 2025
Possibility for Proactive Anomaly Detection
Possibility for Proactive Anomaly Detection
Jinsung Jeon
Jaehyeon Park
Sewon Park
Jeongwhan Choi
Minjung Kim
Noseong Park
AI4TS
272
2
0
15 Apr 2025
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
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
263
1
0
10 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
539
11
0
31 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsInternational Conference on Learning Representations (ICLR), 2025
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
313
2
0
09 Mar 2025
Random Similarity Isolation Forests
Random Similarity Isolation ForestsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Sebastian Chwilczyñski
Dariusz Brzezinski
246
0
0
26 Feb 2025
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
Eduardo Fernandes Montesuma
Adel El Habazi
Fred-Maurice Ngole-Mboula
OT
283
0
0
18 Feb 2025
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
Shixuan Li
Wei Yang
Peiyu Zhang
Xiongye Xiao
Defu Cao
Yuehan Qin
Wei Wei
Yue Zhao
Paul Bogdan
496
10
0
16 Feb 2025
Feature Explosion: a generic optimization strategy for outlier detection algorithms
Feature Explosion: a generic optimization strategy for outlier detection algorithms
Qi Li
234
0
0
08 Feb 2025
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection
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
435
4
0
21 Jan 2025
Who's Gaming the System? A Causally-Motivated Approach for Detecting
  Strategic Adaptation
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic AdaptationNeural Information Processing Systems (NeurIPS), 2024
Trenton Chang
Lindsay Warrenburg
Sae-Hwan Park
Ravi B. Parikh
Maggie Makar
Jenna Wiens
391
4
0
02 Dec 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Disentangling Tabular Data Towards Better One-Class Anomaly DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Jianan Ye
Zhaorui Tan
Yijie Hu
Xi Yang
Guangliang Cheng
K. Huang
293
6
0
12 Nov 2024
Towards Unsupervised Validation of Anomaly-Detection Models
Towards Unsupervised Validation of Anomaly-Detection ModelsEuropean Conference on Artificial Intelligence (ECAI), 2024
Lihi Idan
243
2
0
18 Oct 2024
Neural Collaborative Filtering to Detect Anomalies in Human Semantic
  Trajectories
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
Yueyang Liu
Lance Kennedy
Hossein Amiri
Andreas Züfle
203
12
0
27 Sep 2024
Robust Statistical Scaling of Outlier Scores: Improving the Quality of
  Outlier Probabilities for Outliers (Extended Version)
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)Similarity Search and Applications (SISAP), 2024
Philipp Röchner
Henrique O. Marques
R. Campello
Arthur Zimek
Franz Rothlauf
231
4
0
28 Aug 2024
Flexible categorization using formal concept analysis and
  Dempster-Shafer theory
Flexible categorization using formal concept analysis and Dempster-Shafer theoryInternational Journal of Approximate Reasoning (IJAR), 2024
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
296
1
0
23 Aug 2024
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
Zhonghang Liu
Panzhong Lu
Guoyang Xie
Zhichao Lu
Wen-Yan Lin
270
1
0
07 Jul 2024
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental
  Health (Mis)Information Content on Video-sharing Platforms
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
336
8
0
02 Jul 2024
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
Bogdan Ruszczak
Krzysztof Kotowski
David Evans
Jakub Nalepa
277
19
0
29 Jun 2024
Anomaly Detection of Tabular Data Using LLMs
Anomaly Detection of Tabular Data Using LLMs
Aodong Li
Yunhan Zhao
Chen Qiu
Matthias Kirchler
Padhraic Smyth
Maja R. Rudolph
Stephan Mandt
354
21
0
24 Jun 2024
Position-based Rogue Access Point Detection
Position-based Rogue Access Point Detection
Wenjie Liu
Panos Papadimitratos
499
6
0
04 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang
Ming Gu
Sheng Zhou
Jiawei Chen
Qiaoyu Tan
Haishuai Wang
Jiajun Bu
258
3
0
01 Jun 2024
Joint Selective State Space Model and Detrending for Robust Time Series
  Anomaly Detection
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection
Junqi Chen
Xu Tan
S. Rahardja
Jiawei Yang
S. Rahardja
Mamba
377
8
0
30 May 2024
Towards Controllable Time Series Generation
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
429
8
0
06 Mar 2024
AcME-AD: Accelerated Model Explanations for Anomaly Detection
AcME-AD: Accelerated Model Explanations for Anomaly Detection
Valentina Zaccaria
David Dandolo
Chiara Masiero
Gian Antonio Susto
538
2
0
02 Mar 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
342
4
0
25 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang
S. Erfani
T. Alpcan
Christopher Leckie
OffRL
255
5
0
07 Feb 2024
Understanding Time Series Anomaly State Detection through One-Class
  Classification
Understanding Time Series Anomaly State Detection through One-Class Classification
Hanxu Zhou
Yuan Zhang
Guangjie Leng
Ruofan Wang
Zhi-Qin John Xu
AI4TS
215
2
0
03 Feb 2024
Unsupervised Outlier Detection using Random Subspace and Subsampling
  Ensembles of Dirichlet Process Mixtures
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process MixturesPattern Recognition (Pattern Recogn.), 2024
Dongwook Kim
Juyeon Park
Hee Cheol Chung
Seonghyun Jeong
348
10
0
01 Jan 2024
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection
  in Online Credit Card Payments
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
306
15
0
21 Dec 2023
Outlier detection using flexible categorisation and interrogative
  agendas
Outlier detection using flexible categorisation and interrogative agendas
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
290
6
0
19 Dec 2023
Learning Cortical Anomaly through Masked Encoding for Unsupervised
  Heterogeneity Mapping
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity MappingIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Hao-Chun Yang
Ole A. Andreassen
Lars T. Westlye
A. Marquand
Christian F. Beckmann
T. Wolfers
446
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05 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly
  Generation
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Hao Dong
Gaëtan Frusque
Yue Zhao
Eleni Chatzi
Olga Fink
AAML
353
23
0
20 Nov 2023
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