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. 2007.06894
  4. Cited By
When stakes are high: balancing accuracy and transparency with
  Model-Agnostic Interpretable Data-driven suRRogates

When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

14 July 2020
Roel Henckaerts
Katrien Antonio
Marie-Pier Côté
ArXivPDFHTML

Papers citing "When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates"

Title
No papers