ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.04236
  4. Cited By
A review on outlier/anomaly detection in time series data

A review on outlier/anomaly detection in time series data

11 February 2020
Ane Blázquez-García
Angel Conde
U. Mori
Jose A. Lozano
    AI4TS
ArXivPDFHTML

Papers citing "A review on outlier/anomaly detection in time series data"

50 / 137 papers shown
Title
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
Kilian Tscharke
Maximilian Wendlinger
Afrae Ahouzi
Pallavi Bhardwaj
Kaweh Amoi-Taleghani
Michael Schrödl-Baumann
Pascal Debus
24
0
0
24 Apr 2025
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
W. Zhang
X. Lin
Wenjun Yu
Guangzhen Yao
jingxiang Zhong
Y. Li
Renda Han
Songcheng Xu
Hao Shi
Cuicui Luo
AI4TS
31
0
0
19 Apr 2025
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Jiyu Tian
Mingchu Li
Liming Chen
Z. Wang
AI4TS
21
0
0
06 Apr 2025
Foundation Models for Environmental Science: A Survey of Emerging Frontiers
Foundation Models for Environmental Science: A Survey of Emerging Frontiers
Runlong Yu
Shengyu Chen
Yiqun Xie
Huaxiu Yao
J. Willard
X. Jia
AI4CE
33
1
0
05 Apr 2025
Adaptive Classification of Interval-Valued Time Series
Adaptive Classification of Interval-Valued Time Series
Wan Tian
Zhongfeng Qin
AI4TS
39
1
0
04 Apr 2025
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
Davide Moretti
Elia Onofri
E. Cristiani
44
0
0
01 Apr 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Y. Huang
Mi Zhang
Z. Wang
Wenxuan Li
Min Yang
AAML
AI4TS
59
0
0
12 Mar 2025
A Survey of Foundation Models for Environmental Science
Runlong Yu
Shengyu Chen
Yiqun Xie
X. Jia
AI4CE
61
1
0
05 Mar 2025
Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
Uri Itai
Asael Bar Ilan
Teddy Lazebnik
65
1
0
25 Feb 2025
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
Paul Boniol
Ashwin K. Krishna
Marine Bruel
Qinghua Liu
Mingyi Huang
Themis Palpanas
Ruey S. Tsay
Aaron J. Elmore
Michael Franklin
John Paparrizos
AI4TS
49
0
0
20 Feb 2025
A systematic data characteristic understanding framework towards physical-sensor big data challenges
A systematic data characteristic understanding framework towards physical-sensor big data challenges
Zhipeng Ma
Bo Nørregaard Jørgensen
Z. Ma
AI4CE
48
6
0
22 Jan 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
49
0
0
21 Jan 2025
4.5 Million (Suspected) Fake Stars in GitHub: A Growing Spiral of
  Popularity Contests, Scams, and Malware
4.5 Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Scams, and Malware
Hao He
Haoqin Yang
Philipp Burckhardt
A. Kapravelos
Bogdan Vasilescu
Christian Kastner
72
3
0
18 Dec 2024
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout
  Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism
Fan Wu
Muhammad Bilal
Haolong Xiang
Heng Wang
Jinjun Yu
Xiaolong Xu
35
0
0
04 Nov 2024
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time
  Series Anomaly Analyzers
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
Jiaxin Zhuang
Leon Yan
Zhenwei Zhang
Ruiqi Wang
Jiawei Zhang
Yuantao Gu
AI4TS
31
8
0
04 Nov 2024
Temporal Convolution-based Hybrid Model Approach with Representation
  Learning for Real-Time Acoustic Anomaly Detection
Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection
Sahan Dissanayaka
Manjusri Wickramasinghe
Pasindu Marasinghe
25
0
0
25 Oct 2024
Context-Aware Trajectory Anomaly Detection
Context-Aware Trajectory Anomaly Detection
Haoji Hu
Jina Kim
Jinwei Zhou
Sofia Kirsanova
JangHyeon Lee
Yao-Yi Chiang
22
0
0
24 Oct 2024
Abnormality Forecasting: Time Series Anomaly Prediction via Future
  Context Modeling
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
Sinong Zhao
Wenrui Wang
Hongzuo Xu
Zhaoyang Yu
Qingsong Wen
Gang Wang
Xiaoguang Liu
Guansong Pang
AI4TS
23
0
0
16 Oct 2024
Sharing without Showing: Secure Cloud Analytics with Trusted Execution
  Environments
Sharing without Showing: Secure Cloud Analytics with Trusted Execution Environments
Marcus Birgersson
Cyrille Artho
Musard Balliu
FedML
21
0
0
14 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving:
  Methods, Challenges and Future Directions
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
39
0
0
11 Oct 2024
Applying Quantum Autoencoders for Time Series Anomaly Detection
Applying Quantum Autoencoders for Time Series Anomaly Detection
Robin Frehner
Kurt Stockinger
AI4TS
22
0
0
05 Oct 2024
Forest Proximities for Time Series
Forest Proximities for Time Series
Ben Shaw
Jake S. Rhodes
Soukaina Filali Boubrahimi
Kevin R. Moon
AI4TS
31
0
0
04 Oct 2024
Advancing RVFL networks: Robust classification with the HawkEye loss
  function
Advancing RVFL networks: Robust classification with the HawkEye loss function
M. Akhtar
Ritik Mishra
M. Tanveer
Mohd. Arshad
AAML
21
0
0
01 Oct 2024
OML-AD: Online Machine Learning for Anomaly Detection in Time Series
  Data
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
Sebastian Wette
Florian Heinrichs
AI4TS
22
1
0
15 Sep 2024
A Survey of Anomaly Detection in In-Vehicle Networks
A Survey of Anomaly Detection in In-Vehicle Networks
Ovgu Ozdemir
M. Tuğberk İşyapar
Pınar Karagöz
Klaus Werner Schmidt
Demet Demir
N. A. Karagoz
23
0
0
11 Sep 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for
  Time Series Classification
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan
Shahbaz Rezaei
Xin Liu
BDL
AI4TS
32
0
0
22 Aug 2024
Online Model-based Anomaly Detection in Multivariate Time Series:
  Taxonomy, Survey, Research Challenges and Future Directions
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions
Lucas Correia
Jan-Christoph Goos
Philipp Klein
Thomas Bäck
Anna V. Kononova
AI4TS
51
3
0
07 Aug 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal
  Structural Behavior
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior
Melanie Schaller
Daniel Schlor
Andreas Hotho
23
3
0
28 Jun 2024
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical
  Aggregated Anomaly Detection
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
Dacian Goina
Eduard Hogea
George Matieş
26
0
0
11 Jun 2024
Root Cause Analysis of Outliers with Missing Structural Knowledge
Root Cause Analysis of Outliers with Missing Structural Knowledge
Nastaran Okati
Sergio Hernan Garrido Mejia
William Orchard
Patrick Blöbaum
Dominik Janzing
25
2
0
07 Jun 2024
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Han Yu
Peikun Guo
Akane Sano
AI4TS
32
0
0
17 May 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu
Yang Liu
Jieyu Lin
Jielin Li
Peng Sun
Bo Hu
Liang Song
Azzedine Boukerche
Victor C.M. Leung
Victor C.M. Leung
43
10
0
16 May 2024
Persistent homology of featured time series data and its applications
Persistent homology of featured time series data and its applications
Eunwoo Heo
Jae-Hun Jung
35
0
0
08 May 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
M. Sarfraz
Mei-Yen Chen
Lukas Layer
Kunyu Peng
Marios Koulakis
35
3
0
04 May 2024
Warped Time Series Anomaly Detection
Warped Time Series Anomaly Detection
Charlotte Lacoquelle
Xavier Pucel
Louise Travé-Massuyes
Axel Reymonet
Benoit Enaux
AI4TS
27
0
0
18 Apr 2024
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical
  Systems via Causal Discovery from Time Series
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series
Daniele Meli
AI4TS
28
1
0
15 Apr 2024
AI for DevSecOps: A Landscape and Future Opportunities
AI for DevSecOps: A Landscape and Future Opportunities
Michael Fu
Jirat Pasuksmit
C. Tantithamthavorn
35
6
0
07 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
36
19
0
30 Mar 2024
Castor: Competing shapelets for fast and accurate time series
  classification
Castor: Competing shapelets for fast and accurate time series classification
Isak Samsten
Zed Lee
AI4TS
24
0
0
19 Mar 2024
Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from
  IoT Sensors
Privacy Preserving Anomaly Detection on Homomorphic Encrypted Data from IoT Sensors
A. Hangan
Dragos Lazea
T. Cioara
19
0
0
14 Mar 2024
Unsupervised Distance Metric Learning for Anomaly Detection Over
  Multivariate Time Series
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series
Hanyang Yuan
Qinglin Cai
Keting Yin
AI4TS
27
0
0
04 Mar 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated
  Graph Anomaly Detection Framework
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework
Jinyu Cai
Yunhe Zhang
Zhoumin Lu
Wenzhong Guo
See-kiong Ng
FedML
39
2
0
20 Feb 2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal
  Imputation
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
Yakun Chen
Kaize Shi
Zhangkai Wu
Juan Chen
Xianzhi Wang
Julian McAuley
Guandong Xu
Shui Yu
DiffM
44
3
0
18 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting
  with Anomalies
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
Hao Cheng
Qingsong Wen
Yang Liu
Liang Sun
OOD
AI4TS
13
5
0
03 Feb 2024
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series
  Anomaly Detection
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
Lixu Wang
Shichao Xu
Xinyu Du
Qi Zhu
27
1
0
20 Jan 2024
IGNITE: Individualized GeNeration of Imputations in Time-series
  Electronic health records
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records
Ghadeer O. Ghosheh
Jin Li
Tingting Zhu
29
1
0
09 Jan 2024
Outlier Ranking in Large-Scale Public Health Streams
Outlier Ranking in Large-Scale Public Health Streams
Ananya Joshi
Tina Townes
Nolan Gormley
Luke Neureiter
Roni Rosenfeld
Bryan Wilder
LM&MA
AI4TS
31
0
0
02 Jan 2024
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
F. Febrinanto
Kristen Moore
Chandra Thapa
Mujie Liu
Vidya Saikrishna
Jiangang Ma
Feng Xia
CML
25
2
0
15 Dec 2023
Fault Detection in Telecom Networks using Bi-level Federated Graph
  Neural Networks
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
Rémi Bourgerie
Tahar Zanouda
20
4
0
24 Nov 2023
GATGPT: A Pre-trained Large Language Model with Graph Attention Network
  for Spatiotemporal Imputation
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation
Yakun Chen
Xianzhi Wang
Guandong Xu
AI4TS
28
28
0
24 Nov 2023
123
Next