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. 2108.08723
  4. Cited By
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case
  Study of the COVID-19 Epidemic Curves

Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves

19 August 2021
Pieter Cawood
Terence L van Zyl
    AI4TS
ArXivPDFHTML

Papers citing "Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves"

3 / 3 papers shown
Title
Late Meta-learning Fusion Using Representation Learning for Time Series
  Forecasting
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Terence L van Zyl
AI4TS
11
1
0
20 Mar 2023
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning
  Strategies for Model Fusion
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion
Pieter Cawood
Terence L van Zyl
AI4TS
21
12
0
07 Mar 2022
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives
  for Brazil
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
M. Ribeiro
Ramon Gomes da Silva
V. Mariani
L. Coelho
57
420
0
21 Jul 2020
1