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Scalable Uncertainty Management

Overview of attention for book
Cover of 'Scalable Uncertainty Management'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains
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    Chapter 2 Score-Based Explanations in Data Management and Machine Learning
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    Chapter 3 From Possibilistic Rule-Based Systems to Machine Learning - A Discussion Paper
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    Chapter 4 Logic, Probability and Action: A Situation Calculus Perspective
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    Chapter 5 When Nominal Analogical Proportions Do Not Fail
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    Chapter 6 Measuring Disagreement with Interpolants
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    Chapter 7 Inferring from an Imprecise Plackett–Luce Model: Application to Label Ranking
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    Chapter 8 Inference with Choice Functions Made Practical
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    Chapter 9 A Formal Learning Theory for Three-Way Clustering
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    Chapter 10 Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study
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    Chapter 11 Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach
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    Chapter 12 Computable Randomness Is About More Than Probabilities
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    Chapter 13 Equity in Learning Problems: An OWA Approach
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    Chapter 14 Conversational Recommender System by Bayesian Methods
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    Chapter 15 Dealing with Atypical Instances in Evidential Decision-Making
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    Chapter 16 Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction
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    Chapter 17 Rule-Based Classification for Evidential Data
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    Chapter 18 Undecided Voters as Set-Valued Information – Towards Forecasts Under Epistemic Imprecision
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    Chapter 19 Multi-dimensional Stable Matching Problems in Abstract Argumentation
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    Chapter 20 Modal Interpretation of Formal Concept Analysis for Incomplete Representations
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    Chapter 21 A Symbolic Approach for Counterfactual Explanations
  23. Altmetric Badge
    Chapter 22 Modelling Multivariate Ranking Functions with Min-Sum Networks
  24. Altmetric Badge
    Chapter 23 An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set Programming
Attention for Chapter 21: A Symbolic Approach for Counterfactual Explanations
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2 X users

Citations

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Chapter title
A Symbolic Approach for Counterfactual Explanations
Chapter number 21
Book title
Scalable Uncertainty Management
Published in
arXiv, September 2020
DOI 10.1007/978-3-030-58449-8_21
Book ISBNs
978-3-03-058448-1, 978-3-03-058449-8
Authors

Ryma Boumazouza, Fahima Cheikh-Alili, Bertrand Mazure, Karim Tabia

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Business, Management and Accounting 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2022.
All research outputs
#18,773,759
of 23,931,222 outputs
Outputs from arXiv
#481,437
of 1,008,525 outputs
Outputs of similar age
#295,417
of 411,816 outputs
Outputs of similar age from arXiv
#15,135
of 33,423 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,008,525 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 411,816 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,423 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.