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. 1906.10329
  4. Cited By
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series
  Classification

TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification

25 June 2019
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
    AI4TS
ArXivPDFHTML

Papers citing "TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification"

5 / 5 papers shown
Title
Active Learning of Robot Vision Using Adaptive Path Planning
Active Learning of Robot Vision Using Adaptive Path Planning
Julius Ruckin
Federico Magistri
Cyrill Stachniss
Marija Popović
SSL
21
0
0
14 Oct 2024
Capturing Temporal Components for Time Series Classification
Capturing Temporal Components for Time Series Classification
Venkata Ragavendra Vavilthota
Ranjith Ramanathan
Sathyanarayanan N. Aakur
20
0
0
20 Jun 2024
Detach-ROCKET: Sequential feature selection for time series
  classification with random convolutional kernels
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri
Federico Barone
A. Ansuini
Erik Fransén
AI4TS
24
5
0
25 Sep 2023
Automatic Feature Engineering for Time Series Classification: Evaluation
  and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Aurélien Renault
A. Bondu
V. Lemaire
D. Gay
AI4TS
22
1
0
02 Aug 2023
Semi-unsupervised Learning for Time Series Classification
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson
M. Steininger
A. Huhn
Anna Krause
Andreas Hotho
12
1
0
07 Jul 2022
1