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. 2106.11057
  4. Cited By
QuaPy: A Python-Based Framework for Quantification

QuaPy: A Python-Based Framework for Quantification

18 June 2021
Alejandro Moreo
Andrea Esuli
Fabrizio Sebastiani
ArXivPDFHTML

Papers citing "QuaPy: A Python-Based Framework for Quantification"

9 / 9 papers shown
Title
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
9
0
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
32
2
0
22 Mar 2024
Kernel Density Estimation for Multiclass Quantification
Kernel Density Estimation for Multiclass Quantification
Alejandro Moreo
Pablo González
Juan José del Coz
24
5
0
31 Dec 2023
Binary Quantification and Dataset Shift: An Experimental Investigation
Binary Quantification and Dataset Shift: An Experimental Investigation
Pablo González
Alejandro Moreo
Fabrizio Sebastiani
18
6
0
06 Oct 2023
Bayesian Quantification with Black-Box Estimators
Bayesian Quantification with Black-Box Estimators
Albert Ziegler
Paweł Czyż
UQCV
23
0
0
17 Feb 2023
Multi-Label Quantification
Multi-Label Quantification
Alejandro Moreo
M. Francisco
Fabrizio Sebastiani
23
2
0
15 Nov 2022
LeQua@CLEF2022: Learning to Quantify
LeQua@CLEF2022: Learning to Quantify
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
9
6
0
22 Nov 2021
Minimising quantifier variance under prior probability shift
Minimising quantifier variance under prior probability shift
Dirk Tasche
19
9
0
17 Jul 2021
A Comparative Evaluation of Quantification Methods
A Comparative Evaluation of Quantification Methods
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
MQ
41
13
0
04 Mar 2021
1