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. 1804.03077
  4. Cited By
A plug-in approach to maximising precision at the top and recall at the
  top

A plug-in approach to maximising precision at the top and recall at the top

9 April 2018
Dirk Tasche
ArXivPDFHTML

Papers citing "A plug-in approach to maximising precision at the top and recall at the top"

3 / 3 papers shown
Title
Calibrating sufficiently
Calibrating sufficiently
Dirk Tasche
UQCV
17
10
0
15 May 2021
General Framework for Binary Classification on Top Samples
General Framework for Binary Classification on Top Samples
Lukáš Adam
V. Mácha
Václav Smídl
Tomás Pevný
29
5
0
25 Feb 2020
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
Clayton Scott
13
34
0
03 Oct 2018
1