ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.03585
  4. Cited By
Ensemble neuroevolution based approach for multivariate time series
  anomaly detection

Ensemble neuroevolution based approach for multivariate time series anomaly detection

8 August 2021
Kamil Faber
Dominik Zurek
Marcin Pietroñ
Kamil Piętak
ArXiv (abs)PDFHTML

Papers citing "Ensemble neuroevolution based approach for multivariate time series anomaly detection"

6 / 6 papers shown
Towards efficient deep autoencoders for multivariate time series anomaly
  detection
Towards efficient deep autoencoders for multivariate time series anomaly detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
200
1
0
04 Mar 2024
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
303
8
0
25 May 2023
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of
  Neural Networks
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks
Mohammad Amin Maleki Sadr
Yeying Zhu
Peng Hu
264
5
0
10 Feb 2023
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reductionJournal of Computer Science (JCS), 2021
Marcin Pietroñ
Dominik Zurek
210
20
0
28 Dec 2021
Neuroevolution deep learning architecture search for estimation of river
  surface elevation from photogrammetric Digital Surface Models
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models
Radosław Szostak
Marcin Pietroñ
M. Zimnoch
P. Wachniew
P. Ćwiąkała
E. Puniach
163
0
0
22 Dec 2021
Fast and scalable neuroevolution deep learning architecture search for
  multivariate anomaly detection
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
R. Corizzo
427
5
0
10 Dec 2021
1
Page 1 of 1