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. 2011.06210
  4. Cited By
A Transfer Learning Framework for Anomaly Detection Using Model of
  Normality

A Transfer Learning Framework for Anomaly Detection Using Model of Normality

12 November 2020
Sulaiman A. Aburakhia
Tareq Tayeh
Ryan Myers
Abdallah Shami
ArXivPDFHTML

Papers citing "A Transfer Learning Framework for Anomaly Detection Using Model of Normality"

11 / 11 papers shown
Title
On the Intersection of Signal Processing and Machine Learning: A Use
  Case-Driven Analysis Approach
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman A. Aburakhia
Abdallah Shami
G. Karagiannidis
40
4
0
25 Mar 2024
Optimized Ensemble Model Towards Secured Industrial IoT Devices
Optimized Ensemble Model Towards Secured Industrial IoT Devices
MohammadNoor Injadat
27
2
0
10 Jan 2024
Tight Rates in Supervised Outlier Transfer Learning
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza M. Kalan
Samory Kpotufe
11
0
0
07 Oct 2023
Systemization of Knowledge (SoK)- Cross Impact of Transfer Learning in
  Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives
Systemization of Knowledge (SoK)- Cross Impact of Transfer Learning in Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives
Sofiya Makar
Ali Dehghantanha
Fattane Zarrinkalam
Gautam Srivastava
Abbas Yazdinejad
AAML
22
1
0
12 Sep 2023
Transfer Learning as an Essential Tool for Digital Twins in Renewable
  Energy Systems
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems
C. Nivarthi
20
3
0
09 Mar 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for
  Unsupervised Anomaly Detection in Multivariate Time Series
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
AI4TS
41
33
0
23 Jan 2022
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video
  Anomaly Detection Methods
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
M. Baradaran
R. Bergevin
21
16
0
02 Nov 2021
An Automated Data Engineering Pipeline for Anomaly Detection of IoT
  Sensor Data
An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data
Xinze Li
Baixi Zou
16
5
0
28 Sep 2021
Multi-Perspective Content Delivery Networks Security Framework Using
  Optimized Unsupervised Anomaly Detection
Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection
Li Yang
Abdallah Moubayed
Abdallah Shami
P. Heidari
Amine Boukhtouta
Adel Larabi
Richard Brunner
Stere Preda
D. Migault
21
29
0
24 Jul 2021
Anomaly Detection in Smart Manufacturing with an Application Focus on
  Robotic Finishing Systems: A Review
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
Tareq Tayeh
Abdallah Shami
19
0
0
11 Jul 2021
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet
  Networks
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
14
32
0
09 Nov 2020
1