COPOD: Copula-Based Outlier Detection

20 September 2020

Papers citing "COPOD: Copula-Based Outlier Detection"

50 / 82 papers shown

Title
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 59 0 0 30 Apr 2025
Unsupervised Surrogate Anomaly Detection Simon Klüttermann Tim Katzke Emmanuel Müller 27 0 0 29 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 26 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
Understanding Visual Saliency of Outlier Items in Product Search F. Sarvi Mohammad Aliannejadi Sebastian Schelter Maarten de Rijke 44 0 0 30 Mar 2025
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures Giovanni Floreale Piero Baraldi Enrico Zio Olga Fink 40 0 0 19 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 53 0 0 10 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
Feature Explosion: a generic optimization strategy for outlier detection algorithms Qi Li 35 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 49 0 0 21 Jan 2025
Disentangling Tabular Data Towards Better One-Class Anomaly Detection Jianan Ye Zhaorui Tan Yijie Hu Xi Yang Guangliang Cheng K. Huang 33 0 0 12 Nov 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation Zhuohang Li Jiaxin Zhang Chao Yan Kamalika Das Sricharan Kumar Murat Kantarcioglu Bradley Malin RALM 21 1 0 10 Oct 2024
Constraining Anomaly Detection with Anomaly-Free Regions M. Toller Hussain Hussain Roman Kern Bernhard C. Geiger 22 0 0 30 Sep 2024
Latent Anomaly Detection Through Density Matrices Joseph A. Gallego-Mejia Oscar A. Bustos-Brinez Fabio A. González 26 1 0 14 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits Mateusz Ochal Massimiliano Patacchiola Malik Boudiaf Sen Wang 35 0 0 04 Aug 2024
The OPS-SAT benchmark for detecting anomalies in satellite telemetry Bogdan Ruszczak Krzysztof Kotowski David Evans Jakub Nalepa 25 1 0 29 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 43 0 0 01 Jun 2024
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series Hanyang Yuan Qinglin Cai Keting Yin AI4TS 27 0 0 04 Mar 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 39 1 0 26 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 11 0 0 03 Feb 2024
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 21 1 0 30 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 30 0 0 10 Jan 2024
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures Dongwook Kim Juyeon Park Hee Cheol Chung Seonghyun Jeong 21 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 19 6 0 21 Dec 2023
SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data Guy Hay Pablo Liberman 17 1 0 18 Nov 2023
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches Zefang Liu John Buford 24 4 0 20 Oct 2023
ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 21 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 19 6 0 14 Sep 2023
Anomaly detection with semi-supervised classification based on risk estimators L. Hien Sukanya Patra Souhaib Ben Taieb 19 0 0 01 Sep 2023
Adaptive Thresholding Heuristic for KPI Anomaly Detection Ebenezer R. H. P. Isaac Akshat Sharma 16 2 0 21 Aug 2023
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Indu Joshi Priya Upadhya Gaurav Kumar Nayak Peter Schuffler Nassir Navab AAML FedML 30 0 0 14 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 18 25 0 25 Jul 2023
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models Guy Zamberg Moshe Salhov Ofir Lindenbaum Amir Averbuch DiffM 21 3 0 23 Jul 2023
UADB: Unsupervised Anomaly Detection Booster Hangting Ye Zhining Liu Xinyi Shen Wei Cao Shun Zheng Xiaofan Gui Huishuai Zhang Yi Chang Jiang Bian 22 2 0 03 Jun 2023
Anomaly Detection with Variance Stabilized Density Estimation Amit Rozner Barak Battash Henry Li Lior Wolf Ofir Lindenbaum 21 1 0 01 Jun 2023
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling M. Z. A. Mayaki M. Riveill 20 1 0 28 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 18 5 0 24 May 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 34 7 0 22 May 2023
Unsupervised anomaly detection algorithms on real-world data: how many do we need? Roel Bouman Z. Bukhsh Tom Heskes 29 15 0 01 May 2023
Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System Emmanuel Aboah Boateng Jerry Bruce 15 0 0 30 Apr 2023
Constructing a meta-learner for unsupervised anomaly detection M. Gutowska Suzanne Little A. Mccarren 14 3 0 22 Apr 2023
Neighborhood Averaging for Improving Outlier Detectors Jiawei Yang S. Rahardja P. Fränti 11 3 0 17 Mar 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights Kamil Faber Roberto Corizzo B. Sniezynski Nathalie Japkowicz 31 9 0 14 Mar 2023
ATM Fraud Detection using Streaming Data Analytics Yelleti Vivek V. Ravi A. Mane Laveti Ramesh Naidu 6 3 0 08 Mar 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 30 0 0 15 Feb 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 26 10 0 20 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 26 1 0 11 Jan 2023
G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring Nivedita Bijlani Oscar Alejandro Mendez Maldonado Samaneh Kouchaki 22 3 0 29 Nov 2022
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection Yelleti Vivek V. Ravi A. Mane Laveti Ramesh Naidu 6 5 0 19 Nov 2022
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection Joseph A. Gallego-Mejia Oscar A. Bustos-Brinez Fabio A. González 42 2 0 15 Nov 2022