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. 2202.04397
  4. Cited By
A hypothesis-driven method based on machine learning for neuroimaging
  data analysis

A hypothesis-driven method based on machine learning for neuroimaging data analysis

9 February 2022
J. Górriz
R. Martín-Clemente
C. Puntonet
A. Ortiz
J. Ramírez
J. Suckling
ArXivPDFHTML

Papers citing "A hypothesis-driven method based on machine learning for neuroimaging data analysis"

3 / 3 papers shown
Title
Statistical Agnostic Regression: a machine learning method to validate
  regression models
Statistical Agnostic Regression: a machine learning method to validate regression models
Juan M Gorriz
J. Ramírez
F. Segovia
Francisco J. Martínez-Murcia
C. Jiménez-Mesa
J. Suckling
25
0
0
23 Feb 2024
Is K-fold cross validation the best model selection method for Machine
  Learning?
Is K-fold cross validation the best model selection method for Machine Learning?
Juan M Gorriz
F. Segovia
J. Ramírez
A. Ortiz
J. Suckling
39
17
0
29 Jan 2024
Statistical Agnostic Mapping: a Framework in Neuroimaging based on
  Concentration Inequalities
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
Juan M Gorriz
et al.
Mashrur Chowdhury
29
22
0
27 Dec 2019
1