ADBench: Anomaly Detection Benchmark

ADBench: Anomaly Detection Benchmark

19 June 2022

Papers citing "ADBench: Anomaly Detection Benchmark"

19 / 19 papers shown

Title
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 47 7 0 31 Mar 2025
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Jihan Ghanim M. Awad AI4TS 40 2 0 03 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Y. Liu Feng Zheng Lizhuang Ma UQCV 33 1 0 30 Dec 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 18 0 0 29 Mar 2024
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction Wenbo Shao Jiahui Xu Wenhao Yu Jun Li Hong Wang 20 1 0 29 Feb 2024
Probabilistic Truly Unordered Rule Sets Lincen Yang M. Leeuwen 11 0 0 18 Jan 2024
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis Alastair Anderberg James Bailey R. Campello Michael E. Houle Henrique O. Marques Milovs Radovanović Arthur Zimek 16 0 0 10 Jan 2024
Outlier detection using flexible categorisation and interrogative agendas Marcel Boersma Krishna Manoorkar A. Palmigiano Mattia Panettiere Apostolos Tzimoulis N. Wijnberg 6 2 0 19 Dec 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 8 5 0 28 Sep 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 23 22 0 18 Jun 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese S. Hoi 19 17 0 10 Apr 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 17 10 0 13 Feb 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 11 1 0 11 Jan 2023
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection Daniel Boiar Thomas Liebig Erich Schubert 11 0 0 27 Dec 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport Prabhant Singh Joaquin Vanschoren OOD 11 3 0 01 Nov 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 208 1,277 0 02 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 159 812 0 21 Oct 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 15 100 0 22 May 2021
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 41 38 0 29 Dec 2020