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On the Nature and Types of Anomalies: A Review of Deviations in Data
v1v2v3v4v5 (latest)

On the Nature and Types of Anomalies: A Review of Deviations in Data

30 July 2020
Ralph Foorthuis
ArXiv (abs)PDFHTML

Papers citing "On the Nature and Types of Anomalies: A Review of Deviations in Data"

16 / 16 papers shown
Title
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
Yuxuan Cao
Jiarong Xu
Chen Zhao
Jiaan Wang
Carl Yang
Chunping Wang
Yang Yang
OOD
230
1
0
04 Jun 2025
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability
O. Mokryn
Teddy Lazebnik
Hagit Ben-Shoshan
AI4TS
143
0
0
06 Mar 2025
Research information in the light of artificial intelligence: quality
  and data ecologies
Research information in the light of artificial intelligence: quality and data ecologies
Otmane Azeroual
Tibor Koltay
37
2
0
06 May 2024
A Data Mining-Based Dynamical Anomaly Detection Method for Integrating
  with an Advance Metering System
A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering System
Sarit Maitra
95
1
0
04 May 2024
Capture the Flag: Uncovering Data Insights with Large Language Models
Capture the Flag: Uncovering Data Insights with Large Language Models
I. Laradji
Perouz Taslakian
Sai Rajeswar
Valentina Zantedeschi
Alexandre Lacoste
Nicolas Chapados
David Vazquez
Christopher Pal
Alexandre Drouin
166
3
0
21 Dec 2023
Meta-survey on outlier and anomaly detection
Meta-survey on outlier and anomaly detection
Madalina Olteanu
Fabrice Rossi
Florian Yger
AI4TS
70
17
0
12 Dec 2023
Anomaly Detection in Power Generation Plants with Generative Adversarial
  Networks
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks
M. Atemkeng
Toheeb Aduramomi Jimoh
85
1
0
30 Sep 2023
Classification of Anomalies in Telecommunication Network KPI Time Series
Classification of Anomalies in Telecommunication Network KPI Time Series
Korantin Bordeau-Aubert
Justin Whatley
S. Nadeau
Tristan Glatard
Brigitte Jaumard
AI4TS
50
0
0
30 Aug 2023
Unsupervised anomaly detection algorithms on real-world data: how many
  do we need?
Unsupervised anomaly detection algorithms on real-world data: how many do we need?
Roel Bouman
Zaharah Bukhsh
Tom Heskes
105
22
0
01 May 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection
Few-shot Weakly-supervised Cybersecurity Anomaly Detection
Rahul Kale
V. Thing
96
11
0
15 Apr 2023
GADformer: A Transparent Transformer Model for Group Anomaly Detection
  on Trajectories
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories
Andreas Lohrer
Darpan Malik
Claudius Zelenka
Peer Kröger
69
2
0
17 Mar 2023
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion
  Detection
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection
Rahul Kale
Zhi Lu
K. Fok
V. Thing
93
25
0
02 Dec 2022
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly
  Detection in Decision Support Systems
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems
Elisa Marcelli
T. Barbariol
Gian Antonio Susto
22
2
0
08 Jul 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series
Intrinsic Anomaly Detection for Multi-Variate Time Series
Stephan Rabanser
Tim Januschowski
Kashif Rasul
Oliver Borchert
Richard Kurle
Jan Gasthaus
Michael Bohlke-Schneider
Nicolas Papernot
Valentin Flunkert
AI4TS
101
4
0
29 Jun 2022
Online false discovery rate control for anomaly detection in time series
Online false discovery rate control for anomaly detection in time series
Quentin Rebjock
Barics Kurt
Tim Januschowski
Laurent Callot
AI4TS
80
15
0
06 Dec 2021
Algorithmic Frameworks for the Detection of High Density Anomalies
Algorithmic Frameworks for the Detection of High Density Anomalies
Ralph Foorthuis
37
2
0
09 Oct 2020
1