ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 2005.00259
  4. Cited By
Supervised Feature Subset Selection and Feature Ranking for Multivariate
  Time Series without Feature Extraction

Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction

1 May 2020
Shuchu Han
Alexandru Niculescu-Mizil
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction"

2 / 2 papers shown
Title
Scalable Classifier-Agnostic Channel Selection for Multivariate Time
  Series Classification
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification
Bhaskar Dhariyal
Thach le Nguyen
Georgiana Ifrim
AI4TS
40
9
0
18 Jun 2022
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of
  24 Methods
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
Atharv Yeoleka
Sagar Patel
Shreejaa Talla
Krishna Rukmini Puthucode
Azim Ahmadzadeh
V. Sadykov
R. Angryk
36
4
0
30 Sep 2021
1