ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.02449
  4. Cited By
Class Prior Estimation under Covariate Shift: No Problem?
v1v2 (latest)

Class Prior Estimation under Covariate Shift: No Problem?

6 June 2022
Dirk Tasche
ArXiv (abs)PDFHTMLGithub

Papers citing "Class Prior Estimation under Covariate Shift: No Problem?"

7 / 7 papers shown
Quantifying Feature Importance for Online Content Moderation
Quantifying Feature Importance for Online Content Moderation
Benedetta Tessa
Alejandro Moreo
S. Cresci
T. Fagni
Fabrizio Sebastiani
123
2
0
22 Oct 2025
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
Alejandro Moreo
287
3
0
16 May 2025
Quantification using Permutation-Invariant Networks based on Histograms
Quantification using Permutation-Invariant Networks based on Histograms
Olaya Pérez-Mon
Alejandro Moreo
Juan José del Coz
Pablo González
MQ
264
3
0
22 Mar 2024
Invariance assumptions for class distribution estimation
Invariance assumptions for class distribution estimation
Dirk Tasche
OOD
150
4
0
28 Nov 2023
Binary Quantification and Dataset Shift: An Experimental Investigation
Binary Quantification and Dataset Shift: An Experimental InvestigationData mining and knowledge discovery (DMKD), 2023
Pablo González
Alejandro Moreo
Fabrizio Sebastiani
261
15
0
06 Oct 2023
Sparse joint shift in multinomial classification
Sparse joint shift in multinomial classificationFoundations of Data Science (FDS), 2023
Dirk Tasche
308
4
0
29 Mar 2023
Factorizable Joint Shift in Multinomial Classification
Factorizable Joint Shift in Multinomial ClassificationMachine Learning and Knowledge Extraction (MLKE), 2022
Dirk Tasche
386
4
0
29 Jul 2022
1
Page 1 of 1