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. 1809.01991
  4. Cited By
Evaluation Measures for Quantification: An Axiomatic Approach

Evaluation Measures for Quantification: An Axiomatic Approach

6 September 2018
Fabrizio Sebastiani
ArXivPDFHTML

Papers citing "Evaluation Measures for Quantification: An Axiomatic Approach"

11 / 11 papers shown
Title
SemEval-2016 Task 4: Sentiment Analysis in Twitter
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov
Alan Ritter
Sara Rosenthal
Fabrizio Sebastiani
Veselin Stoyanov
28
341
0
03 Dec 2019
SemEval-2017 Task 4: Sentiment Analysis in Twitter
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal
N. Farra
Preslav Nakov
VLM
66
795
0
02 Dec 2019
A Recurrent Neural Network for Sentiment Quantification
A Recurrent Neural Network for Sentiment Quantification
Andrea Esuli
Alejandro Moreo
Fabrizio Sebastiani
30
21
0
04 Sep 2018
Quantification under prior probability shift: the ratio estimator and
  its extensions
Quantification under prior probability shift: the ratio estimator and its extensions
A. Vaz
Rafael Izbicki
R. Stern
20
22
0
11 Jul 2018
Optimizing Non-decomposable Measures with Deep Networks
Optimizing Non-decomposable Measures with Deep Networks
Amartya Sanyal
Pawan Kumar
Purushottam Kar
Sanjay Chawla
Fabrizio Sebastiani
37
26
0
31 Jan 2018
Fisher consistency for prior probability shift
Fisher consistency for prior probability shift
Dirk Tasche
30
45
0
19 Jan 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data
Class-prior Estimation for Learning from Positive and Unlabeled Data
M. C. D. Plessis
Gang Niu
Masashi Sugiyama
54
159
0
05 Nov 2016
Online Optimization Methods for the Quantification Problem
Online Optimization Methods for the Quantification Problem
Purushottam Kar
Shuai Li
Harikrishna Narasimhan
Sanjay Chawla
Fabrizio Sebastiani
12
46
0
13 May 2016
Quantification in-the-wild: data-sets and baselines
Quantification in-the-wild: data-sets and baselines
Oscar Beijbom
Judy Hoffman
Evan Yao
Trevor Darrell
Alberto Rodriguez-Ramirez
Manuel González-Rivero
O. Hoegh‐Guldberg
15
22
0
16 Oct 2015
Optimizing Text Quantifiers for Multivariate Loss Functions
Optimizing Text Quantifiers for Multivariate Loss Functions
Andrea Esuli
Fabrizio Sebastiani
23
77
0
19 Feb 2015
Semi-Supervised Learning of Class Balance under Class-Prior Change by
  Distribution Matching
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
M. C. D. Plessis
Masashi Sugiyama
42
135
0
18 Jun 2012
1