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. 1609.06070
  4. Cited By
Boosting Factor-Specific Functional Historical Models for the Detection
  of Synchronisation in Bioelectrical Signals

Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals

20 September 2016
David Rügamer
S. Brockhaus
K. Gentsch
K. Scherer
S. Greven
ArXivPDFHTML

Papers citing "Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals"

3 / 3 papers shown
Title
Automatic Componentwise Boosting: An Interpretable AutoML System
Automatic Componentwise Boosting: An Interpretable AutoML System
Stefan Coors
Daniel Schalk
B. Bischl
David Rügamer
TPM
22
3
0
12 Sep 2021
Functional additive models on manifolds of planar shapes and forms
Functional additive models on manifolds of planar shapes and forms
Almond Stocker
Lisa Steyer
S. Greven
13
5
0
06 Sep 2021
Boosting Functional Regression Models with FDboost
Boosting Functional Regression Models with FDboost
S. Brockhaus
David Rügamer
S. Greven
6
40
0
30 May 2017
1